Advanced Data Analytics Course With Predictive Analytics

Especially Designed For Working Professionals

Generative AI Integrated Advanced Data Science & AI Course

Generative-AI Integrated
Curriculum

In Collaboration with

Microsoft Partnered Advanced Data Science and AI Course

&

IBM

Certification

Learn From IIT, NIT and Top MNC Professionals

Data Science Specialization Course

1:1

Live Interactive Classes

510+

Hiring Partners

100%

Guaranteed Job Referrals

79%

Avg. Salary Hike

Advanced Data Analytics Course With Predictive Analytics

Especially Designed For Working Professionals

Generative AI Integrated Advanced Data Science & AI Course

Generative AI-Integrated Curriculum

In Collaboration with

Microsoft Partnered Advanced Data Science and AI Course

&

IBM Cerification

1stepGrow NASSCOM Certified - ADS
1stepGrow Silicon India Certified - ADS
1stepGrow Business Connect Certified - ADS
1 (3)
2 (3)
3 (3)

Advanced Data Analytics Course Overview

Advanced Data Analytics Course Overview

1stepGrow’s Advanced Data Analytics Course offers comprehensive training in Python programming, focusing on descriptive and predictive analytics. You will learn essential skills such as data analytics, web scraping, exploratory data analysis, and machine learning for predictive analytics. Additionally, the course covers topics like SQL for database management, data visualization using Power BI & Tableau, and version control with GitHub. By completing this course, you will acquire in-depth knowledge and expertise in essential data analytics tools and techniques using Python.

1stepGrow’s Advanced Data Analytics Course offers comprehensive training in Python programming, focusing on descriptive and predictive analytics. You will learn essential skills such as data analytics, web scraping, exploratory data analysis, and machine learning for predictive analytics. Additionally, the course covers topics like SQL for database management, data visualization using Power BI & Tableau, and version control with GitHub. By completing this course, you will acquire in-depth knowledge and expertise in essential data analytics tools and techniques using Python.

Advanced Data Analytics Program Key Skills and Features

Advanced Data Analytics Program Key Skills and Features

Features Built on Industry Insights for Unmatched Success!

Key Program Features

Key Skills Covered

Who This Dual Certified Advanced Data Analytics Program Is For?

Key Program Features

Key Skills Covered

Skills Covered

Dual Certification

ADA- IBM - Python for DA

IBM Certification

Same size AI900

Microsoft AI Certification

Project Experience Certification

Advanced Data Analytics

Who This Dual Certified Advanced Data Analytics Program Is For?

Data Science and Machine Learning Course

Education

Graduates from computer science, mathematics, or a related field

Data Science and Machine Learning Course

Work experience

Professionals with experience in technology background

Data Science and Machine Learning Course

Career stage

Early to mid-career professionals seeking career leap

Aspirations

Ambitious individuals aiming for hands-on experience

Dual Certification

ADA- IBM - Python for DA

IBM Certification

Same size AI900

Microsoft AI Certification

Advanced Data Analytics

Project Experience Certification

Get Your Dream Job With Highest Possible Pay

Harness Extensive Industry Network of 510+ Companies with Relevant Skills

Get Your Dream Job With Highest Possible Pay

Harness Extensive Industry Network of 510+ Companies with Relevant Skills

Access to job openings and referrals from leading firms

Unlimited job support with resume building

Upgrade profile with industry relevant projects

Network with professionals and experts in the field

Access to job openings and referrals from leading firms

Unlimited job support with resume building

Upgrade profile with industry relevant projects

Network with professionals and experts in the field

Syllabus | Who This Dual Certified Advanced Data Analytics Course

Still Not Sure About The Course?

Avoid Confusion, Choose The Right Option That Suits Your Needs.

Syllabus | Who This Dual Certified Advanced Data Analytics Course

Embark on an enriching journey with the carefully curated Data Analytics course at 1stepGrow, where you will engage in hands-on learning through real-world projects and interactive live classes. With the assurance of job referrals, you can acquire valuable experience and establish a strong foothold in the dynamic realm of Data Analytics. Immerse yourself in this comprehensive program, expertly crafted by industry professionals, to expand your expertise and excel in the industry.

Embark on an enriching journey with the carefully curated Data Analytics course at 1stepGrow, where you will engage in hands-on learning through real-world projects and interactive live classes. With the assurance of job referrals, you can acquire valuable experience and establish a strong foothold in the dynamic realm of Data Analytics. Immerse yourself in this comprehensive program, expertly crafted by industry professionals, to expand your expertise and excel in the industry.

UNIT 1: Orientation (8 Hours)

This unit serves as a primer for data science, introducing key tools and concepts. It’s designed to equip non-programmers with foundational Python and math skills.

 

Module 1: Introduction To Data Science, Analytics & AI

  • Introduction to tools & key concepts
  • Real-time project applications 
  • Practical applications of data science in various industries

 

Module 2: Fundamentals of Programming

  • Introduction to Python tools
  • Installation of Python
  • Python Fundamentals

 

Tools Covered: Python, Anaconda, Jupyter, Google Colab

 

Module 3: Fundamentals of Statistics

  • Importance and Use of Statistics in Data Science
  • Descriptive Statistics & Predictive Statistics
  • Learn how predictive Statistics connects with Machine Learning

 

Note:

Module 2 and 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.

UNIT 2: Portfolio Building (6 hours)

This unit provides an extensive roadmap for building a robust portfolio in data science. You’ll master GitHub for efficient collaboration and LinkedIn for networking and career advancement.

 

Module 1: Git & GitHub (VCS)

  • Introduction to VCS
  • Installing and Configuring Git
  • Git Essentials
  • Branching and Merging
  • GitHub Essentials
  • Collaborating on GitHub
  • Forking repositories
  • Creating pull requests
  • Best Practices and Workflows

 

Class Hands-On:

Initiate, collaborate, and work on a real-time project

 

Tools Covered: Git, GitHub

 

Module 2: LinkedIn Profile building

  • Introduction to LinkedIn as a Professional Networking Platform
  • Crafting a Compelling LinkedIn Profile
  • Leveraging LinkedIn for Engagement
  • Growing Your Network on LinkedIn
  • Increasing Followers and Engagement
  • Enhancing Professional Branding
  • Leveraging LinkedIn for Career Advancement

UNIT 3: Python for Data Science & AI (42 Hours)

This Python course is built to learn Python programming from fundamental to advanced concepts tailored for data science and AI applications. 

 

Module 1: Core Python Programming

  • Python Environment
  • Data types & Operators
  • Operators & Loop controls

 

Project: Build a simple calculator

 

Module 2: Advanced Python Programming

  • Functions & Modules
  • Regular Expressions (RegEx)
  • File Handling & Exception Handling
  • Generators & Decorators

 

Class Hands-on:

25+ programs/coding exercises on data types, loops, operators, functions, generators, file I/O, reg-ex, and exception handling

 

Module 3: Web Scraping using Python

  • Introduction to Web Scraping
  • Web Requests & HTTP
  • Parsing HTML with Beautiful Soup

 

Project: Scrape and Analyze Data from a Website (2-3 Projects)

 

Module 4: OOPs in Python

  • Classes and Objects
  • Encapsulation, Inheritance, and Polymorphism
  • Abstraction and Interfaces
  • Method Overriding and Overloading
  • Class Variables and Instance Variables

 

Module 5: Python For Data Analytics

  • Data Analysis using NumPy (Array Operations)
  • Data Analysis using Pandas (On Dataframes)
  • Data Visualization using Matplotlib
  • Data Visualization using Seaborn

 

Tools Covered: NumPy, Pandas, MatplotLib, Seaborn, Beautiful Soup

 

EDA Project (Create Insights using Data Analytics)

2 Full-Length Projects on Data Analytics using Pandas, MatplotLib & Seaborn to analyze Data to Gain Insights and Identify Patterns.

UNIT 4: Data Analytics Tools (84 Hours)

Learn practically data mining, using SQL database. Data visualization and analytics using Power BI & Tableau and data handling using Excel.

 

Module 1: SQL – Structured Query Language 

  • Introduction to SQL
  • SQL & RDBMS
  • SQL Syantax and data types
  • CRUD operations in SQL
  • Retrieving Data with SQL
  • Filtering, sorting & formatting query results
  • Advanced SQL Queries
  • Database Design and Normalization
  • Advanced Database Concepts
  • Stored Procedures
  • Integrating SQL with Python for Data

 

Hands-on practice:

  • Joins, Sub-queries, Aggregation query
  • Views, Filtering, Sorting
  • Group By and Having clause

 

Module 3: Power BI 

  • Introduction to Power BI
  • Data Preparation and Modeling
  • Clean, transform & load data in Power BI
  • Data Visualization Techniques
  • Advanced Analytics in Power BI
  • Designing Interactive Dashboards
  • Power Query
  • Design Power BI Reports
  • Connecting Power BI to SQL
  • Create, Share, and Collaborate on Power BI Dashboards

 

Class Project & Assignments:

Project 1: Education Institute’s student data analysis

Project 2: Sales Data Analysis

– Learn to visualize data to find patterns & insights using interactive charts

 

Module 4: Tableau

  • Introduction to Tableau
  • Connecting Tableau to data sources
  • Data Types in Tableau
  • Data Preparation and Transformation
  • Building Visualizations in Tableau
  • Advanced Analytics in Tableau
  • Tableau Dashboards and Storytelling
  • Connecting Tableau to SQL
  • Tableau Online to collaborate, share & publish dashboards

 

Class Project & Assignments:

Project 1: Supermarket data analysis

Project 2: Covid Data Analysis

– Learn to visualize data to find patterns & insights using interactive charts

– Deployment of Predictive model in Tableau

 

Tools Covered: Power BI, Tableau, Excel

 

Module 5: Excel for Analytics 

  • Introduction to Excel for Analytics
  • Basic Formulas & Function
  • Data Preparation and Cleaning
  • Charts & Graphs in Excel
  • Data Analysis Techniques in Excel
  • PivotTables and PivotCharts for data summarization
  • Data visualization techniques in Excel
  • Excel’s data analysis add-ins

UNIT 5: Math & Statistical Approach for Data Analytics (24 Hours)

This course provides a comprehensive overview of statistical concepts for analytics & machine learning techniques with their practical applications.

 

Module 1: Statistics & Probability

  • Fundamentals of Math, Probability & Statistics
  • Descriptive vs inferential statistics
  • Types of data, Sample and Population
  • Descriptive Statistics
  • Handling outliers & missing values in data
  • Discrete and continuous probability distributions
  • Normal distribution and central limit theorem
  • Linear Algebra, Sampling and Estimation
  • Hypothesis Testing Workflow
  • Confusion Matrix, Performance Metrics
  • P-values, Z Scores, Confidence Level
  • Significance Level, Sampling Techniques
  • Parametric Tests: T-test, Z-test, F-test, ANOVA test
  • Non-Parametric Tests: Chi-square test, Man Whitney U Test & Wilcoxon Rank Sum Test
  • Regression & Classification Analysis

 

Class Hands-on:

Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study

UNIT 6: Predictive Analytics using Machine Learning (24 Hours)

You will learn machine learning algorithms, and model building from scratch to advance exploring various case studies to practice on real-world applications to reinforce your learning.

 

Module 1: Machine Learning

  • Set Theory
  • Data Preprocessing
  • Traditional coding vs Machine learning
  • Supervised and unsupervised learning
  • Model evaluation
  • Exploratory Data Analysis
  • Data Analysis & Visualisation
  • Feature Engineering
  • Machine learning model building & evaluation
    • Linear Regression Model & Evaluation
    • L1 & L2 Regularization (Lasso and Ridge Regression)
    • Logistic Regression Model & Evaluation
    • K Nearest Neighbours (KNN) & Evaluation
    • Decision Tree Classifier & Regressor
    • Random Forest Classifier & Regressor
    • Naive Bayes Classifier
  • Overfitting, bias-variance tradeoff
  • Cross-validation

 

Project:

  • EDA for Weight Prediction task from Height (Regression task)
  • 1 project each for Regression & Classification

 

Module 2: Time-Series Data Analysis 

  • Introduction to time series data
  • Linear Regression Vs ARIMA model
  • Time series visualization and exploration
  • Time series decomposition
  • Stationarity and its tests
  • Autoregressive (AR) Models
  • Moving Average (MA) Models
  • Autoregressive Integrated Moving Average (ARIMA) Models
  • Seasonal ARIMA (SARIMA) models
  • Exponential smoothing methods

 

Class Projects:

  • Project to predict the number of customers of an Airline organization using Time Series Model ARIMA & SARIMAX
  • Financial Market Stock Price analysis and forecasting
  • Sales data forecasting to understand trend and seasonality

 

Tools Covered: SciKit Learn, Pandas, Matplotlib

 

Note: All Machine Learning Algorithms will be covered in depth with real-time projects & case studies for each algorithm. Once this module is completed, the Capstone Project will be released for the batch.

UNIT 7: Prompt Engineering (10 Hours)

Expertise with prompt engineering with generative AI tools to learn efficient prompt building to guide AI models for specific tasks.

 

Module 1: Prompt Engineering 

  • Exploring prompt tools
  • Understanding prompt tools & their architecture
  • Future advancement in AI and Large Language tools
  • Overview of tools like (GPT, Dall E, Midjourney Etc.)
  1. ChatGPT: Prompt for text Generation (Natural Language Processing)
  2. Dall E / Midjourney: Prompt for image Generation
  3. Synthesia for Video Generation & Slides AI for PPT creation

 

Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI

UNIT 8: Cloud Deployment of ML Models (32 Hours)

In this cloud deployment unit, you will learn to deploy machine learning and AI models using AWS and Azure, two leading cloud platforms.

 

Module 1: AWS

  • Introduction to Cloud Deployment for ML and AI Models
  • AWS cloud platform and its services for model deployment
  • Understanding deployment architectures and best practices
  • AWS IAM (Identity and Access Management)
  • Elastic Compute Cloud (Amazon EC2)
  • Elastic Block Storage (EBS) and Elastic File System (EFS)
  • Model Deployment with AWS
  • Model Deployment using Python on AWS using Flask
  • Model Deployment using Python on AWS using Django

 

Module 2: Azure

  • Azure cloud platform and its services for model deployment
  • Understanding deployment architectures and best practices
  • Fundamental Principles of Machine Learning on Azure
  • Model Deployment on Azure
  • Model Deployment using Python on Azure using Flask
  • Model Deployment using Python on Azure using Django

 

Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django

Program Highlights

UNIT 1: Orientation (8 Hours)

This unit serves as a primer for data science, introducing key tools and concepts. It’s designed to equip non-programmers with foundational Python skills, facilitating a deeper understanding and practical application throughout the course.

 

Module 1: Introduction To Data Analytics, Predictive Analytics & Business Intelligence

  • Introduction to tools, key concepts, and definitions
  • Real-time project applications in different domains
  • Practical applications of data science in various industries

 

Module 2: Fundamentals of Programming

  • Introduction to Python tools
  • Installation of Python
  • Python Fundamentals

 

Tools Covered: Python, Anaconda, Jupyter, Google Colab

 

Module 3: Fundamentals of Statistics

  • Importance and Use of Statistics in Data Science
  • Descriptive Statistics & Predictive Statistics
  • Learn how predictive Statistics connects with Machine Learning

 

Note:

Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.

UNIT 2: Portfolio Building (6 hours)

This unit provides an extensive roadmap for building a robust portfolio in data science. You’ll master GitHub, a version control system, for efficient collaboration and project management. Additionally, you’ll harness LinkedIn‘s power for networking and career advancement.

 

Module 1: Git & GitHub (VCS)

  • Introduction to Version Control Systems
  • Installing and Configuring Git
  • Git Essentials
  • Branching and Merging
  • GitHub Essentials
  • Collaborating on GitHub
  • Forking repositories
  • Creating pull requests
  • Best Practices and Workflows

 

Application: Initiate, collaborate, and work on a real-time project

 

Tools Covered: Git, GitHub

 

Module 2: LinkedIn Profile building

  • Introduction to LinkedIn as a Professional Networking Platform
  • Crafting a Compelling LinkedIn Profile
  • Leveraging LinkedIn Features for Engagement
  • Growing Your Network on LinkedIn
  • Increasing Followers and Engagement
  • Enhancing Professional Branding on LinkedIn
  • Leveraging LinkedIn for Career Advancement

UNIT 3: Python for Data Science & AI (42 Hours)

This Python course introduces fundamental to advanced concepts tailored for data science and AI applications. Learn Python step by step from basics to advanced. Learn all libraries, functions, and modules to perform data science projects by analyzing and building ML & AI models using Python.

 

Module 1: Core Python Programming

  • Python Environment
  • Data Types & Operators
  • Operators & Loop controls

 

Project: Build a simple calculator

 

Module 2: Advanced Python Programming

  • Functions & Modules
  • Regular Expressions (RegEx)
  • File Handling & Exception Handling
  • Generators & Decorators

 

Class Hands-on:

25+ programs/coding exercises on data types, loops, operators, functions, generators, file I/O, reg-ex, and exception handling

 

Module 3: Web Scraping using Python

  • Introduction to Web Scraping
  • Web Requests & HTTP
  • Parsing HTML with Beautiful Soup

 

Project: Scrape and Analyze Data from a Website (2-3 Projects)

 

Module 4: OOPs in Python

  • Classes and Objects
  • Encapsulation, Inheritance, and Polymorphism
  • Abstraction and Interfaces
  • Method Overriding and Overloading
  • Class Variables and Instance Variables

 

Module 5: Python For Data Analytics

  • Data Analysis using NumPy (Array Operations)
  • Data Analysis using Pandas (On Dataframes)
  • Data Visualization using Matplotlib
  • Data Visualization using Seaborn

 

Tools Covered: NumPy, Pandas, MatplotLib, Seaborn, Beautiful Soup

 

EDA Project (Create Insights using Data Analytics) 

2 Full-Length Projects on Data Analytics using Pandas, MatplotLib & Seaborn to analyze Data to Gain Insights and Identify Patterns.

UNIT 4: Data Analytics Tools (84 Hours)

Learn practically data mining, using SQL database. Data visualization and analytics using Power BI & Tableau and data handling using Excel.

 

Module 1: SQL – Structured Query Language 

  • Introduction to SQL
  • SQL & RDBMS
  • SQL Syantax and data types
  • CRUD operations in SQL
  • Retrieving Data with SQL
  • Filtering, sorting & formatting query results
  • Advanced SQL Queries
  • Database Design and Normalization
  • Advanced Database Concepts
  • Stored Procedures
  • Integrating SQL with Python for Data

 

Hands-on practice:

  • Joins, Sub-queries, Aggregation query
  • Views, Filtering, Sorting
  • Group By and Having clause



Module 2: Power BI 

  • Introduction to Power BI
  • Data Preparation and Modeling
  • Clean, transform & load data in Power BI
  • Data Visualization Techniques
  • Advanced Analytics in Power BI
  • Designing Interactive Dashboards
  • Power Query
  • Design Power BI Reports
  • Connecting Power BI to SQL
  • Create, Share, and Collaborate on Power BI Dashboards

 

Class Project & Assignments:

Project 1: Education Institute’s student data analysis

Project 2: Sales Data Analysis

– Learn to visualize data to find patterns & insights using interactive charts

 

Module 3: Tableau

  • Introduction to Tableau
  • Connecting Tableau to data sources
  • Data Types in Tableau
  • Data Preparation and Transformation
  • Building Visualizations in Tableau
  • Advanced Analytics in Tableau
  • Tableau Dashboards and Storytelling
  • Connecting Tableau to SQL
  • Tableau Online to collaborate, share & publish dashboards

 

Class Project & Assignments:

Project 1: Supermarket data analysis

Project 2: Covid Data Analysis

– Learn to visualize data to find patterns & insights using interactive charts

– Deployment of Predictive model in Tableau

 

Tools Covered: Power BI, Tableau, Excel

 

Module 4: Excel for Analytics 

  • Introduction to Excel for Analytics
  • Basic Formulas & Function
  • Data Preparation and Cleaning
  • Charts & Graphs in Excel
  • Data Analysis Techniques in Excel
  • PivotTables and PivotCharts for data summarization
  • Data visualization techniques in Excel
  • Excel’s data analysis add-ins

UNIT 5: Math & Statistical Approach for Data Analytics (24 Hours)

This course provides a comprehensive overview of statistical concepts for analytics & machine learning techniques with their practical applications.

 

Module 1: Statistics & Probability

  • Fundamentals of Math, Probability & Statistics
  • Descriptive vs inferential statistics
  • Types of data, Sample and Population
  • Descriptive Statistics
  • Handling outliers & missing values in data
  • Discrete and continuous probability distributions
  • Normal distribution and central limit theorem
  • Linear Algebra, Sampling and Estimation
  • Hypothesis Testing Workflow
  • Confusion Matrix, Performance Metrics
  • P-values, Z Scores, Confidence Level
  • Significance Level, Sampling Techniques
  • Parametric Tests: T-test, Z-test, F-test, ANOVA test
  • Non-Parametric Tests: Chi-square test, Man Whitney U Test & Wilcoxon Rank Sum Test
  • Regression & Classification Analysis

 

Class Hands-on:

Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study

 

UNIT 6: Predictive Analytics using Machine Learning (24 Hours)

You will learn forecasting from data and model building from scratch with various case studies to practice on real-world applications.

 

Module 1: Machine Learning

  • Set Theory
  • Data Preprocessing
  • Traditional coding vs Machine learning
  • Supervised and unsupervised learning
  • Model evaluation
  • Exploratory Data Analysis
  • Data Analysis & Visualisation
  • Feature Engineering
  • Machine learning model building & evaluation
    • Linear Regression Model & Evaluation
    • L1 & L2 Regularization (Lasso and Ridge Regression)
    • Logistic Regression Model & Evaluation
    • K Nearest Neighbours (KNN) & Evaluation
    • Decision Tree Classifier & Regressor
    • Random Forest Classifier & Regressor
    • Naive Bayes Classifier
  • Overfitting, bias-variance tradeoff
  • Cross-validation

 

Project:

  • EDA for Weight Prediction task from Height (Regression task)
  • 1 project each for Regression & Classification

 

Module 2: Time-Series Data Analysis 

  • Introduction to time series data
  • Linear Regression Vs ARIMA model
  • Time series visualization and exploration
  • Time series decomposition
  • Stationarity and its tests
  • Autoregressive (AR) Models
  • Moving Average (MA) Models
  • Autoregressive Integrated Moving Average (ARIMA) Models
  • Seasonal ARIMA (SARIMA) models
  • Exponential smoothing methods

 

Class Projects:

  • Project to predict the number of customers of an Airline organization using Time Series Model ARIMA & SARIMAX
  • Financial Market Stock Price analysis and forecasting
  • Sales data forecasting to understand trend and seasonality



Tools Covered: SciKit Learn, Pandas, Matplotlib

 

Note: Once this unit is completed, the Capstone Project will be released for the batch.

UNIT 7: Prompt Engineering (10 Hours)

Expertise with prompt engineering with generative AI tools to learn efficient prompt building to guide AI models for specific tasks.

 

Module 1: Prompt Engineering 

  • Exploring prompt tools
  • Understanding prompt tools & their architecture
  • Future advancement in AI and Large Language tools
  • Overview of tools like (GPT, Dall E, Midjourney Etc.)

 

ChatGPT: Prompt for text Generation (Natural Language Processing)

  • Introduction to NLP concept and role in GPT tools
  • ChatGPT and its architecture
  • Hands-on with ChatGPT / Microsoft Copilot prompt for Text Generation
  • Tuning ChatGPT for desired output and application

 

Dall E / Midjourney: Prompt for image Generation

  • Introduction to image generation using prompt
  • Exploring Midjourney / Dall E 2 & 3 / Gencraft prompt for Image generation
  • Tuning prompt for the desired output
  • Ethical consideration for AI-generated images

 

Synthesia for Video Generation & Slides AI for PPT creation

  • Learning prompt with Slides AI (from Google) / Simplified.com for PPT generation
  • Using prompt on Synthesia / Invideo AI for Video Generation

 

Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI

UNIT 8: Cloud Deployment of ML Models (32 Hours)

In this cloud deployment unit, you will learn to deploy machine learning models using AWS and Azure, two leading cloud platforms. You’ll gain proficiency in deploying, scaling, and managing models in the cloud environments through practical exercises.



Module 1: AWS

  • Introduction to Cloud Deployment for ML and AI Models
  • AWS cloud platform and its services for model deployment
  • Understanding deployment architectures and best practices
  • AWS IAM (Identity and Access Management)
  • Elastic Compute Cloud (Amazon EC2)
  • Elastic Block Storage (EBS) and Elastic File System (EFS)
  • Model Deployment with AWS
  • Model Deployment using Python on AWS using Flask
  • Model Deployment using Python on AWS using Django

 

Module 2: Azure

  • Azure cloud platform and its services for model deployment
  • Understanding deployment architectures and best practices
  • Fundamental Principles of Machine Learning on Azure
  • Model Deployment on Azure
  • Model Deployment using Python on Azure using Flask
  • Model Deployment using Python on Azure using Django

 

Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django

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      What are the prerequisites for the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics is designed for beginners, introducing foundational concepts at the start. Students joining the program should possess problem-solving skills and a strong mathematical aptitude.

      What will I be preparing for in the Advanced Data Analytics Course with Predictive Analytics?

      This advanced data analytics program with predictive analytics focuses on developing the necessary skills for descriptive and predictive analytics using machine learning concepts. The program includes:

       

      • Python Programming
      • Web Scraping
      • GitHub
      • Statistics for data analytics
      • Machine learning
      • SQL
      • Power BI
      • Tableau
      • Hadoop
      • Excel for Data Analytics

      Am I eligible for this program if I belong to a non-technical background with no programming background?

      Yes, this program is specifically designed for professionals looking for career transition in data analytics and are non-programmers. The advanced data analytics with predective analytics is recommended for candidates with little to no prior knowledge of statistics and Python/R programming.

      How many students are there in one batch?

      The Advanced Data Analytics Course with Predictive Analytics aims to deliver top-notch training through personalized attention. To foster an interactive learning environment and ensure effective doubt-solving, we keep our batch sizes small, with a maximum limit of 15 students. This approach enables mentors to provide focused guidance and promotes active participation among learners.

      What are the benefits of a 2-year subscription to the program?

      Students undertaking our Advanced+- Data Analytics Course with Predictive Analytics are granted a 2-year subscription. This provides them with continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.

      How does the online training program benefit students?

      The online training program for the Advanced Data Analytics Course with Predictive Analytics offers students a range of benefits:

      • Prompt resolution of queries during live sessions.
      • Access to recorded classes for reviewing previous sessions and addressing doubts.
      • Availability of recorded discussions on assignments and projects.
      • Access to session recordings and comprehensive course materials for future reference.

      What is the duration of the Advanced Data Analytics Course with Predictive Analytics?

      The duration of the Advanced Data Analytics Course with Predictive Analytics is approximately 6 months (180 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 5 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 6 months, with classes on Saturdays and Sundays for 3.5 hours per day.

      What does instructor-led online training entail in the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics offers instructor-led online training, which involves live sessions facilitated by skilled instructors. Students actively participate in these sessions, fostering an interactive learning environment. The course focuses on advanced data analytics techniques and predictive analytics, enabling participants to apply their knowledge to real-world scenarios.

      What happens if I miss a live session in the Advanced Data Analytics Course with Predictive Analytics?

      In the Advanced Data Analytics Course with Predictive Analytics, if you are unable to attend a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the material. This ensures that you can continue your learning journey smoothly and benefit from the comprehensive course content.

      How does a smaller batch size contribute to better learning in the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics benefits from a smaller batch size, which creates an environment conducive to effective learning. With fewer students, participants can engage more actively and have their queries resolved within the session. The trainer can also tailor the course pace to meet the specific needs of the students, resulting in an enhanced learning experience.

      Can students interact and ask questions during the live training sessions in the Advanced Data Analytics Course with Predictive Analytics?

      Absolutely! We highly encourage student interaction and questions during the live training sessions in the Advanced Data Analytics Course with Predictive Analytics. Our aim is to provide a supportive learning environment where students can engage with the trainer and address any queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.

      How will this course help me in my career?

      The Advanced Data Analytics Course unleashes the power of data analytics. Learn advanced techniques, statistical models, and predictive analytics methodologies. Apply data visualization, machine learning algorithms, and predictive modeling using tools like data visualization and machine learning to drive strategic decision-making.

      Are there any assessments or exams during the course?

      Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Advanced Data Analytics Course with Predictive Analytics. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.

      Will I have access to the course materials even after completing the program?

      Yes, you will receive lifetime access to the course materials. This includes recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.

      Can I access the learning materials on my mobile device?

      Yes, the learning materials for the Advanced Data Analytics Course with Predictive Analytics, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.

      Can I switch from the weekday batch to the weekend batch or vice versa?

      We understand that you may need to switch between batches due to office workload or personal reasons. If such a situation arises during the Advanced Data Analytics Course with Predictive Analytics, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.

      What kind of support can I expect during the course?

      During the Advanced Data Analytics Course with Predictive Analytics, you can expect comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly.

      Will I gain practical training in the Advanced Data Analytics Course with Predictive Analytics?

      Practical training is a key component of the Advanced Data Analytics Course with Predictive Analytics. You’ll engage in hands-on exercises and real-world projects, applying advanced analytics techniques and predictive modeling. This practical experience will strengthen your analytical skills and empower you to derive actionable insights from data.

      What is the role of real-time projects in the Advanced Data Analytics Course with Predictive Analytics?

      Real-time projects play a crucial role in the Advanced Data Analytics Course with Predictive Analytics. These projects utilize industry datasets (with confidential information modified) and enable participants to apply data analytics concepts and predictive algorithms to real-world scenarios. By working on 11 industry projects covering diverse scenarios, students can strengthen their practical skills, gain confidence, and become proficient in data analytics with predictive capabilities.

      Can you elaborate on the importance of domain specializations in the Advanced Data Analytics Course with Predictive Analytics?

      Domain specializations play a crucial role in the Advanced Data Analytics Course with Predictive Analytics. Through capstone projects and mentorship, these specializations provide industry-specific training and practical exposure to predictive analytics techniques in different domains. By working on real-world projects sourced from diverse industries, participants can enhance their skills, gain domain-specific knowledge, and become proficient in applying advanced data analytics and predictive techniques in specific business contexts.

      How many Capstone projects are included in the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics incorporates up to 1 end-to-end Capstone project. These projects enable participants to apply their skills and gain hands-on experience by working on real-world scenarios in the field of advanced data analytics with a focus on predictive analytics.

      What is project experience and how do I get certified for it?

      Project experience in our Advanced Data Analytics Course with Predictive Analytics involves engaging in industry projects relevant to domain specializations. Students work in groups with assigned mentors. Following successful completion, the project is evaluated by our institute and partner company. If it meets the required standards, we issue a project experience certificate, recognizing your practical experience in advance data analytics.

      Can I receive guidance from industry experts or mentors during the Advanced Data Analytics Course?

      Yes, the Advanced Data Analytics Course with Predictive Analytics allows you to connect with industry experts and mentors. These experienced professionals will be available to guide you, share their expertise, and provide mentorship as you explore advanced data analytics techniques and delve into the realm of predictive analytics.

      Will I have access to a community or forum for interaction and collaboration in the Advanced Data Analytics Course?

      Yes, the Advanced Data Analytics Course with Predictive Analytics provides a community forum for students to interact and collaborate. This forum enables you to connect with peers, discuss course topics, share insights, and seek feedback on your predictive analytics projects. It fosters a supportive community where you can engage in meaningful discussions and leverage collective knowledge.

      How can I resolve my queries outside the class for the Advanced Data Analytics Course with Predictive Analytics?

      For participants of the Advanced Data Analytics Course with Predictive Analytics, we offer a dedicated student forum where you can seek resolution for your queries outside the class. If you have any doubts or encounter challenges during your practice, simply post your queries on the forum. Our trainers and fellow students actively engage on the forum, providing assistance and valuable insights.

      What is the approach for conducting doubt-solving sessions in the Advanced Data Analytics Course?

      In the Advanced Data Analytics Course with Predictive Analytics, we understand the significance of addressing doubts and ensuring a comprehensive learning experience. As part of the course structure, we conduct regular doubt-solving sessions within the class, allowing participants to raise questions and seek clarification. These sessions contribute to a deeper understanding of the course topics and help participants overcome challenges.

      What is the Fee for the Advanced Data Analytics Program with Predictive Analytics?

      The total fees for advanced data analytics program with predictive analytics is INR 59,000/- + 18% GST

      Can I pay in instalments for the Advanced Data Analytics Program with Predictive Analytics?

      Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 3868/month for a 12-month EMI. You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking partner.

      What are the different modes of payments available?

      The different payment methods accepted by us are:

      • Unified Payments Interface (UPI)
      • Net Banking
      • Bank Transfer
      • Debit Card
      • Credit Card
      • Visa
      • *Zero-cost EMI

      Is there any scholarship/discount available?

      1stepGrow offers 15 – 20% scholarship on early-birds. Our counselors will inform you if an early bird discount is available for the course.

      What is Group Discount?

      Group discounts are available to promote ease in program fees. The discount applies to all members of a group who join the course together. For a group of 2, there is a 5% extra discount, and for a group of 3 or more, there is a 10% extra discount.

      What does the Job Assistance program in the Advanced Data Analytics Course with Predictive Analytics offer?

      The Advanced Data Analytics Course with Predictive Analytics includes a comprehensive Job Assistance program. This program is designed to support students in their job search and career advancement.

      Our job assistance program is a four step program:

      • Github & LinkedIn Profile building
      • Resume Preparation
      • Mock Interviews
      • Job Referrals

      How will the mock interview be conducted and how can I understand where to improve?

      Mock interviews for the Advanced Data Analytics Course with Predictive Analytics are conducted online using video mode. Feedback on your performance will be provided within a week. You will receive a recorded video of the interview, enabling you to identify areas for improvement in both soft skills and technical skills. This course includes up to 2 mock interviews.

      Is job assistance available after completing the Advanced Data Analytics Course with Predictive Analytics?

      Absolutely! We offer comprehensive job assistance to students upon the completion of the Advanced Data Analytics Course with Predictive Analytics. Our placement cell supports students in resume building, interview preparation, and connects them with relevant job opportunities in the field of data analytics and predictive analytics. We strive to empower our students to excel in their careers.

      How many job referrals will be provided?

      Our Advanced Data Analytics Course with Predictive Analytics offers job referral assistance to our students. We have established partnerships with various companies and consultancies in the data analytics field, and we refer our qualified students to these organizations for job opportunities.

      What’s the eligibility for a job assistance program at 1stepGrow?

      To be eligible for job assistance from 1stepGrow, you need to meet specific criteria. These include achieving a score of 70% or higher in all assessment tests, submitting assignments in a timely manner, completing real-time projects, and successfully completing Capstone project.

      Will I get a Course Completion Certificate from 1stepGrow?

      Yes, upon successfully completing the Advanced Data Analytics Course with Predictive Analytics, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in advanced data analytics techniques and predictive analytics.

      Are there academic certifications provided in the course?

      Yes, we provide academic certifications as part of the Advanced Data Analytics Course with Predictive Analytics. These certifications recognize your knowledge and skills in the field of data analytics and highlight your expertise in applying predictive analytics techniques. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized Data certificate by Microsoft.

      Will I get project experience certification from a company?

      Yes! Our course offers you the opportunity to work on real-world projects in collaboration with our partner companies. Upon successful completion of these projects, you will receive a Project Experience Certificate, demonstrating your practical skills and experience in data analytics and predictive analytics.

      As a college student or fresher, what kind of recognition should I expect from the course?

      As a college student or fresher, this course provides you with valuable recognition. You can expect a Course Completion Certificate that showcases your proficiency in Advanced Data Analytics with Predictive analytics. The project experience gained during the course will also enhance your resume and increase your chances of securing internships and entry-level positions in the data analytics field.

      As an on-job professional, what kind of recognition will help me progress in my career?

      As an on-job professional, this course offers recognition that can accelerate your career growth. You will receive a Course Completion Certificate, validating your expertise in Advanced Data Analytics with Predictive Analytics. The project experience and practical skills gained through the course will enhance your professional profile, enabling you to take on more challenging data analytics roles and responsibilities.

      How valuable is a project experience certification by a company?

      A project experience certification by a company holds significant value in the industry. It demonstrates your ability to apply advanced data analytics and predictive analytics techniques to real-world projects, showcasing your practical skills and problem-solving abilities. This certification enhances your credibility and can significantly impact your career advancement in the data analytics field.

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      What are the prerequisites for the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics is designed for beginners, introducing foundational concepts at the start. Students joining the program should possess problem-solving skills and a strong mathematical aptitude.

      What will I be preparing for in the Advanced Data Analytics Course with Predictive Analytics?

      This advanced data analytics program with predictive analytics focuses on developing the necessary skills for descriptive and predictive analytics using machine learning concepts. The program includes:

       

      • Python Programming
      • Web Scraping
      • GitHub
      • Statistics for data analytics
      • Machine learning
      • SQL
      • Power BI
      • Tableau
      • Hadoop
      • Excel for Data Analytics

      Am I eligible for this program if I belong to a non-technical background with no programming background?

      Yes, this program is specifically designed for professionals looking for career transition in data analytics and are non-programmers. The advanced data analytics with predective analytics is recommended for candidates with little to no prior knowledge of statistics and Python/R programming.

      How many students are there in one batch?

      The Advanced Data Analytics Course with Predictive Analytics aims to deliver top-notch training through personalized attention. To foster an interactive learning environment and ensure effective doubt-solving, we keep our batch sizes small, with a maximum limit of 15 students. This approach enables mentors to provide focused guidance and promotes active participation among learners.

      What are the benefits of a 2-year subscription to the program?

      Students undertaking our Advanced+- Data Analytics Course with Predictive Analytics are granted a 2-year subscription. This provides them with continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.

      How does the online training program benefit students?

      The online training program for the Advanced Data Analytics Course with Predictive Analytics offers students a range of benefits:

      • Prompt resolution of queries during live sessions.
      • Access to recorded classes for reviewing previous sessions and addressing doubts.
      • Availability of recorded discussions on assignments and projects.
      • Access to session recordings and comprehensive course materials for future reference.

      What is the duration of the Advanced Data Analytics Course with Predictive Analytics?

      The duration of the Advanced Data Analytics Course with Predictive Analytics is approximately 6 months (180 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 5 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 6 months, with classes on Saturdays and Sundays for 3.5 hours per day.

      What does instructor-led online training entail in the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics offers instructor-led online training, which involves live sessions facilitated by skilled instructors. Students actively participate in these sessions, fostering an interactive learning environment. The course focuses on advanced data analytics techniques and predictive analytics, enabling participants to apply their knowledge to real-world scenarios.

      What happens if I miss a live session in the Advanced Data Analytics Course with Predictive Analytics?

      In the Advanced Data Analytics Course with Predictive Analytics, if you are unable to attend a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the material. This ensures that you can continue your learning journey smoothly and benefit from the comprehensive course content.

      How does a smaller batch size contribute to better learning in the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics benefits from a smaller batch size, which creates an environment conducive to effective learning. With fewer students, participants can engage more actively and have their queries resolved within the session. The trainer can also tailor the course pace to meet the specific needs of the students, resulting in an enhanced learning experience.

      Can students interact and ask questions during the live training sessions in the Advanced Data Analytics Course with Predictive Analytics?

      Absolutely! We highly encourage student interaction and questions during the live training sessions in the Advanced Data Analytics Course with Predictive Analytics. Our aim is to provide a supportive learning environment where students can engage with the trainer and address any queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.

      How will this course help me in my career?

      The Advanced Data Analytics Course unleashes the power of data analytics. Learn advanced techniques, statistical models, and predictive analytics methodologies. Apply data visualization, machine learning algorithms, and predictive modeling using tools like data visualization and machine learning to drive strategic decision-making.

      Are there any assessments or exams during the course?

      Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Advanced Data Analytics Course with Predictive Analytics. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.

      Will I have access to the course materials even after completing the program?

      Yes, you will receive lifetime access to the course materials. This includes recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.

      Can I access the learning materials on my mobile device?

      Yes, the learning materials for the Advanced Data Analytics Course with Predictive Analytics, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.

      Can I switch from the weekday batch to the weekend batch or vice versa?

      We understand that you may need to switch between batches due to office workload or personal reasons. If such a situation arises during the Advanced Data Analytics Course with Predictive Analytics, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.

      What kind of support can I expect during the course?

      During the Advanced Data Analytics Course with Predictive Analytics, you can expect comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly.

      Will I gain practical training in the Advanced Data Analytics Course with Predictive Analytics?

      Practical training is a key component of the Advanced Data Analytics Course with Predictive Analytics. You’ll engage in hands-on exercises and real-world projects, applying advanced analytics techniques and predictive modeling. This practical experience will strengthen your analytical skills and empower you to derive actionable insights from data.

      What is the role of real-time projects in the Advanced Data Analytics Course with Predictive Analytics?

      Real-time projects play a crucial role in the Advanced Data Analytics Course with Predictive Analytics. These projects utilize industry datasets (with confidential information modified) and enable participants to apply data analytics concepts and predictive algorithms to real-world scenarios. By working on 11 industry projects covering diverse scenarios, students can strengthen their practical skills, gain confidence, and become proficient in data analytics with predictive capabilities.

      Can you elaborate on the importance of domain specializations in the Advanced Data Analytics Course with Predictive Analytics?

      Domain specializations play a crucial role in the Advanced Data Analytics Course with Predictive Analytics. Through capstone projects and mentorship, these specializations provide industry-specific training and practical exposure to predictive analytics techniques in different domains. By working on real-world projects sourced from diverse industries, participants can enhance their skills, gain domain-specific knowledge, and become proficient in applying advanced data analytics and predictive techniques in specific business contexts.

      How many Capstone projects are included in the Advanced Data Analytics Course with Predictive Analytics?

      The Advanced Data Analytics Course with Predictive Analytics incorporates up to 1 end-to-end Capstone project. These projects enable participants to apply their skills and gain hands-on experience by working on real-world scenarios in the field of advanced data analytics with a focus on predictive analytics.

      What is project experience and how do I get certified for it?

      Project experience in our Advanced Data Analytics Course with Predictive Analytics involves engaging in industry projects relevant to domain specializations. Students work in groups with assigned mentors. Following successful completion, the project is evaluated by our institute and partner company. If it meets the required standards, we issue a project experience certificate, recognizing your practical experience in advance data analytics.

      Can I receive guidance from industry experts or mentors during the Advanced Data Analytics Course?

      Yes, the Advanced Data Analytics Course with Predictive Analytics allows you to connect with industry experts and mentors. These experienced professionals will be available to guide you, share their expertise, and provide mentorship as you explore advanced data analytics techniques and delve into the realm of predictive analytics.

      Will I have access to a community or forum for interaction and collaboration in the Advanced Data Analytics Course?

      Yes, the Advanced Data Analytics Course with Predictive Analytics provides a community forum for students to interact and collaborate. This forum enables you to connect with peers, discuss course topics, share insights, and seek feedback on your predictive analytics projects. It fosters a supportive community where you can engage in meaningful discussions and leverage collective knowledge.

      How can I resolve my queries outside the class for the Advanced Data Analytics Course with Predictive Analytics?

      For participants of the Advanced Data Analytics Course with Predictive Analytics, we offer a dedicated student forum where you can seek resolution for your queries outside the class. If you have any doubts or encounter challenges during your practice, simply post your queries on the forum. Our trainers and fellow students actively engage on the forum, providing assistance and valuable insights.

      What is the approach for conducting doubt-solving sessions in the Advanced Data Analytics Course?

      In the Advanced Data Analytics Course with Predictive Analytics, we understand the significance of addressing doubts and ensuring a comprehensive learning experience. As part of the course structure, we conduct regular doubt-solving sessions within the class, allowing participants to raise questions and seek clarification. These sessions contribute to a deeper understanding of the course topics and help participants overcome challenges.

      What is the Fee for the Advanced Data Analytics Program with Predictive Analytics?

      The total fees for advanced data analytics program with predictive analytics is INR 59,000/- + 18% GST

      Can I pay in instalments for the Advanced Data Analytics Program with Predictive Analytics?

      Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 3868/month for a 12-month EMI. You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking partner.

      What are the different modes of payments available?

      The different payment methods accepted by us are:

      • Unified Payments Interface (UPI)
      • Net Banking
      • Bank Transfer
      • Debit Card
      • Credit Card
      • Visa
      • *Zero-cost EMI

      Is there any scholarship/discount available?

      1stepGrow offers 15 – 20% scholarship on early-birds. Our counselors will inform you if an early bird discount is available for the course.

      What is Group Discount?

      Group discounts are available to promote ease in program fees. The discount applies to all members of a group who join the course together. For a group of 2, there is a 5% extra discount, and for a group of 3 or more, there is a 10% extra discount.

      What does the Job Assistance program in the Advanced Data Analytics Course with Predictive Analytics offer?

      The Advanced Data Analytics Course with Predictive Analytics includes a comprehensive Job Assistance program. This program is designed to support students in their job search and career advancement.

      Our job assistance program is a four step program:

      • Github & LinkedIn Profile building
      • Resume Preparation
      • Mock Interviews
      • Job Referrals

      How will the mock interview be conducted and how can I understand where to improve?

      Mock interviews for the Advanced Data Analytics Course with Predictive Analytics are conducted online using video mode. Feedback on your performance will be provided within a week. You will receive a recorded video of the interview, enabling you to identify areas for improvement in both soft skills and technical skills. This course includes up to 2 mock interviews.

      Is job assistance available after completing the Advanced Data Analytics Course with Predictive Analytics?

      Absolutely! We offer comprehensive job assistance to students upon the completion of the Advanced Data Analytics Course with Predictive Analytics. Our placement cell supports students in resume building, interview preparation, and connects them with relevant job opportunities in the field of data analytics and predictive analytics. We strive to empower our students to excel in their careers.

      How many job referrals will be provided?

      Our Advanced Data Analytics Course with Predictive Analytics offers job referral assistance to our students. We have established partnerships with various companies and consultancies in the data analytics field, and we refer our qualified students to these organizations for job opportunities.

      What’s the eligibility for a job assistance program at 1stepGrow?

      To be eligible for job assistance from 1stepGrow, you need to meet specific criteria. These include achieving a score of 70% or higher in all assessment tests, submitting assignments in a timely manner, completing real-time projects, and successfully completing Capstone project.

      Will I get a Course Completion Certificate from 1stepGrow?

      Yes, upon successfully completing the Advanced Data Analytics Course with Predictive Analytics, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in advanced data analytics techniques and predictive analytics.

      Are there academic certifications provided in the course?

      Yes, we provide academic certifications as part of the Advanced Data Analytics Course with Predictive Analytics. These certifications recognize your knowledge and skills in the field of data analytics and highlight your expertise in applying predictive analytics techniques. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized Data certificate by Microsoft.

      Will I get project experience certification from a company?

      Yes! Our course offers you the opportunity to work on real-world projects in collaboration with our partner companies. Upon successful completion of these projects, you will receive a Project Experience Certificate, demonstrating your practical skills and experience in data analytics and predictive analytics.

      As a college student or fresher, what kind of recognition should I expect from the course?

      As a college student or fresher, this course provides you with valuable recognition. You can expect a Course Completion Certificate that showcases your proficiency in Advanced Data Analytics with Predictive analytics. The project experience gained during the course will also enhance your resume and increase your chances of securing internships and entry-level positions in the data analytics field.

      As an on-job professional, what kind of recognition will help me progress in my career?

      As an on-job professional, this course offers recognition that can accelerate your career growth. You will receive a Course Completion Certificate, validating your expertise in Advanced Data Analytics with Predictive Analytics. The project experience and practical skills gained through the course will enhance your professional profile, enabling you to take on more challenging data analytics roles and responsibilities.

      How valuable is a project experience certification by a company?

      A project experience certification by a company holds significant value in the industry. It demonstrates your ability to apply advanced data analytics and predictive analytics techniques to real-world projects, showcasing your practical skills and problem-solving abilities. This certification enhances your credibility and can significantly impact your career advancement in the data analytics field.

      Have any questions in mind?

      Talk to our team directly

      Reach out to us and your career guide will get
      in touch with you shortly