Live Interactive Classes
Hiring Partners
Guaranteed Job Referrals
Avg. Salary Hike
1stepGrow’s Advanced Data Analytics Course offers intensive training on an wide range of topics in Python programming from basic to advanced. It will give important competencies in data analytics, cleaning, wrangling, and visualization. Additionally SQL for Database management and visualization using Power BI & Tableau are covered in depth. The course helps students expertise in important tools and techniques for Data Analytics.
CERTIFICATION
Undergrad or postgrad students from any discipline of study.
No prior work experience is required for this program.
Ideal for freshers or experienced students from unrelated field.
Ambitious individuals aiming for hands-on experience
Harness Extensive Industry Network of 510+ Companies with Relevant Skills
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
Begin an enriching journey with 1stepGrow’s meticulously designed Data Analytics course. Engage in hands-on learning through real-world projects and interactive live sessions. Establish a solid foundation in the ever-evolving field of Data Analytics. Dive into this all-encompassing program, crafted by industry experts, to enhance your skills and excel in the industry.
Begin an enriching journey with 1stepGrow’s meticulously designed Data Analytics course. Engage in hands-on learning through real-world projects and interactive live sessions. Establish a solid foundation in the ever-evolving field of Data Analytics. Dive into this all-encompassing program, crafted by industry experts, to enhance your skills and excel in the industry.
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
Module 2: Fundamentals of Programming
Tools Covered: Python, Anaconda, Jupyter, Google Colab
Module 3: Fundamentals of Statistics
Note:
Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.
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)
Application: Initiate, collaborate, and work on a real-time project
Tools Covered: Git, GitHub
Module 2: LinkedIn Profile building
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
Project: Build a simple calculator
Module 2: Advanced Python Programming
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
Project: Scrape and Analyze Data from a Website (2-3 Projects)
Module 4: OOPs in Python
Module 5: Python For Data Analytics
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.
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
Hands-on practice:
Module 2: Power BI
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
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
Learn modern techniques of Data Analysis using Python and popular open-source libraries like pandas, scikit-learn and NumPy and transform data into insights.
Module 1: Introduction
Module 2: Data Wrangling
Module 3: Exploratory Data Analysis
Module 4: Model Development
Module 5: Model Evaluation
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
Module 2: Fundamentals of Programming
Tools Covered: Python, Anaconda, Jupyter, Google Colab
Module 3: Fundamentals of Statistics
Note:
Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.
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)
Application: Initiate, collaborate, and work on a real-time project
Tools Covered: Git, GitHub
Module 2: LinkedIn Profile building
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
Project: Build a simple calculator
Module 2: Advanced Python Programming
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
Project: Scrape and Analyze Data from a Website (2-3 Projects)
Module 4: OOPs in Python
Module 5: Python For Data Analytics
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.
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
Hands-on practice:
Module 2: Power BI
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
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
Learn modern techniques of Data Analysis using Python and popular open-source libraries like pandas, scikit-learn and NumPy and transform data into insights.
Module 1: Introduction
Module 2: Data Wrangling
Module 3: Exploratory Data Analysis
Module 4: Model Development
Module 5: Model Evaluation
Gate a chance to win Upto 20% Scholarship
Take the test and prove your interest in Advanced Data Analytics skill development for your better career.
Get a chance to win Upto 20% Scholarship
Take the test and prove your interest in Data Analytics skill development for your better career
Industry Projects
Wide Range Of Tools & Modules
Products in the markets are
1stepGrow provides you with
1stepGrow Advanced Data Analytics Course focuses on Focused Group Training with Live projects
Two years of live class support with access to various batches and instructors.
Never miss a session with unlimited access to recorded classes
Get offline feeling in online mode: unmute, ask, and clear doubts in real time
Advantage for revision: get lifetime access to class recordings and material
Invest in your future with quality education
Program Fee:
₹ 39,000
+ 18% GST
Invest in your future with quality education
Program Fee:
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Weekday Batch
Weekend Batch
Weekday Batch
Weekend Batch
Enrolling at 1stepGrow Academy has been a fantastic experience. Their knowledgeable and approachable tutors break down complex concepts into easy-to-understand explanations. Small class sizes ensure personalized attention, and the well-organized administration communicates promptly. This training helped me secure a promotion at J.P. Morgan. Overall, 1stepGrow Academy exceeded my expectations, and I highly recommend it for mastering essential corporate applications.
1stepGrow is an excellent training institute for Data Science. Despite being a startup, I opted for them due to their small batch size. The vibrant class environment and interactive trainers greatly enhanced my skills. The encouraging atmosphere allowed me to ask questions and actively participate. Within just 6 months, I achieved success as a Data Analyst. My journey with 1stepGrow was truly amazing.
My experience with 1stepGrow was fantastic. Their exceptional support enabled me to transition to the Data Science team in my company. Through hands-on work in the IT domain, I gained a deep understanding of the practical aspects of being a Data Scientist. The journey was seamless, thanks to the real-world experience provided by 1stepGrow.
Get a chance to win Upto 20% Scholarship
Take the test and prove your interest in Data Analytics skill development for your better career
This Advanced Data Analytics course is meant for beginners who will take participants through the foundational building blocks of data analytics. The course does not assume your previous programming knowledge as it is meant for non-tech and non-programmer backgrounds.
The Advanced Data Analytics Course is an online data science training program designed to make the non-programmers skilled in the area of data science and AI. You’ll learn how to:
Visit the syllabus for the complete curriculum!
This is quality training with personal attention; therefore, we have been limiting the number of trainees in a batch to about 15 to 20 students. A smaller group size typically ensures maximum involvement of students with trainer interaction, thus ultimately leading to an enriched environment for learning.
With this course, the students can avail two full years of continued mentorship and job referral opportunities through live classes. The premise behind this is to create a neurocycle of continuous learning and support for students both during and after training. Indeed, the initiative serves as a motivator for keeping the students hooked to the present industrial trends and employability.
The duration of advanced data analytics course training is for approximately 160 hours i.e. around 4 months in which online sessions in practice and projects are distributed with interview training.
The course allows students to take classes on weekdays or weekends:
Weekend Batch: 4 months, Saturday and Sunday, 3 to 4 hours/day
This Advanced Data Analytics Course concentrates on skilling candidates, exposing them to the real world with real-time projects in Analytics. The demand for skillful data analyst professionals has risen beyond imagination; however, this course has made the candidate even more employable and has given them highly advanced abilities in the use of modern approaches and tools in data analytics, as well as industry practices that run those advanced careers, giving them an edge in a highly competitive market.
Clearly, examinations and tests form part of the Advanced Data Analytics Course and are intended to test the student’s aptitude in various aspects of the course. These separate assessments and projects form part of the course which assures prowess in both concept understanding with case studies and practical applications through projects. Evaluations, assignments, and projects do provide opportunities for feedback towards improvement to really ensure that learners are well-prepared for the real world.
The Advanced Data Analytics Course is very much a practical course. The students will be required to work on real-world analytics projects using tools like Python and PowerBI to equip themselves with the applicable skills for tackling problems that they face on the floor today in data analytics. Such practice will help build both confidence and the ability to work on bona-fide, industry-relevant projects
The Advanced Data Analytics course is based on live projects derived from industry data, from which sensitive information has been masked for confidentiality purposes. Real-time projects allow the learners to battle their knowledge regarding concepts and algorithms on a real dataset, thus learning the practical experience. This course includes 15 real-time industry projects and covers a variety of scenarios and will prepare students to apply their knowledge learned practically before facing challenges in the real world.
The advanced data analytics course contains 2 Capstone projects. These projects are designed to enable students to apply their knowledge to real-life situations, thus providing the most important kinds of hands-on learning experiences.
Our Job Assistance Program offers you the employment assistance you need to land your dream job. It includes:
Job Interviews
Referrals to help you connect with prospective employers in the industry.
Students enrolled for the Advanced Data Analytics Course would be able to avail themselves of unlimited job referrals for the subscription period of two years. We indeed have been continuously busy referring your profile to our vast network of partner consultancy firms and companies for maximum job opportunities.
To qualify for job assistance from 1stepGrow, you must meet these criteria:
The total fee for the Advanced Data Analytics Course is INR 39,000/- plus 18% GST.
We offer multiple payment methods for your convenience:
Reach out to us and your career guide will get
in touch with you shortly
All Answers To Your Future Career
This Advanced Data Analytics course is meant for beginners who will take participants through the foundational building blocks of data analytics. The course does not assume your previous programming knowledge as it is meant for non-tech and non-programmer backgrounds.
The Advanced Data Analytics Course is an online data science training program designed to make the non-programmers skilled in the area of data science and AI. You’ll learn how to:
Visit the syllabus for the complete curriculum!
This is quality training with personal attention; therefore, we have been limiting the number of trainees in a batch to about 15 to 20 students. A smaller group size typically ensures maximum involvement of students with trainer interaction, thus ultimately leading to an enriched environment for learning.
With this course, the students can avail two full years of continued mentorship and job referral opportunities through live classes. The premise behind this is to create a neurocycle of continuous learning and support for students both during and after training. Indeed, the initiative serves as a motivator for keeping the students hooked to the present industrial trends and employability.
The duration of advanced data analytics course training is for approximately 160 hours i.e. around 4 months in which online sessions in practice and projects are distributed with interview training.
The course allows students to take classes on weekdays or weekends:
Weekend Batch: 4 months, Saturday and Sunday, 3 to 4 hours/day
This Advanced Data Analytics Course concentrates on skilling candidates, exposing them to the real world with real-time projects in Analytics. The demand for skillful data analyst professionals has risen beyond imagination; however, this course has made the candidate even more employable and has given them highly advanced abilities in the use of modern approaches and tools in data analytics, as well as industry practices that run those advanced careers, giving them an edge in a highly competitive market.
Clearly, examinations and tests form part of the Advanced Data Analytics Course and are intended to test the student’s aptitude in various aspects of the course. These separate assessments and projects form part of the course which assures prowess in both concept understanding with case studies and practical applications through projects. Evaluations, assignments, and projects do provide opportunities for feedback towards improvement to really ensure that learners are well-prepared for the real world.
The Advanced Data Analytics Course is very much a practical course. The students will be required to work on real-world analytics projects using tools like Python and PowerBI to equip themselves with the applicable skills for tackling problems that they face on the floor today in data analytics. Such practice will help build both confidence and the ability to work on bona-fide, industry-relevant projects
The Advanced Data Analytics course is based on live projects derived from industry data, from which sensitive information has been masked for confidentiality purposes. Real-time projects allow the learners to battle their knowledge regarding concepts and algorithms on a real dataset, thus learning the practical experience. This course includes 15 real-time industry projects and covers a variety of scenarios and will prepare students to apply their knowledge learned practically before facing challenges in the real world.
The advanced data analytics course contains 2 Capstone projects. These projects are designed to enable students to apply their knowledge to real-life situations, thus providing the most important kinds of hands-on learning experiences.
Our Job Assistance Program offers you the employment assistance you need to land your dream job. It includes:
Job Interviews
Referrals to help you connect with prospective employers in the industry.
Students enrolled for the Advanced Data Analytics Course would be able to avail themselves of unlimited job referrals for the subscription period of two years. We indeed have been continuously busy referring your profile to our vast network of partner consultancy firms and companies for maximum job opportunities.
To qualify for job assistance from 1stepGrow, you must meet these criteria:
The total fee for the Advanced Data Analytics Course is INR 39,000/- plus 18% GST.
We offer multiple payment methods for your convenience:
Reach out to us and your career guide will get
in touch with you shortly
We provide online certification in Data Science and AI, Digital Marketing, Data Analytics with a job guarantee program. For more information, contact us today!
Courses
1stepGrow
Anaconda | Jupyter Notebook | Git & GitHub (Version Control Systems) | Python Programming Language | R Programming Langauage | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | Deep Learning | Neural Networks | Computer Vision | Reinforcement Learning | ANN | CNN | RNN | LSTM | Facebook Prophet | SQL | MongoDB | Advance Excel for Data Science | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Science Capstone Projects | ML Capstone Projects | AI Capstone Projects | Domain Training | Business Analytics
WordPress | Elementor | On-Page SEO | Off-Page SEO | Technical SEO | Content SEO | SEM | PPC | Social Media Marketing | Email Marketing | Inbound Marketing | Web Analytics | Facebook Marketing | Mobile App Marketing | Content Marketing | YouTube Marketing | Google My Business (GMB) | CRM | Affiliate Marketing | Influencer Marketing | WordPress Website Development | AI in Digital Marketing | Portfolio Creation for Digital Marketing profile | Digital Marketing Capstone Projects
Jupyter Notebook | Git & GitHub | Python | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | SQL | MongoDB | Advance Excel for Data Science | Alteryx | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Analytics Capstone Projects
Anjanapura | Arekere | Basavanagudi | Basaveshwara Nagar | Begur | Bellandur | Bommanahalli | Bommasandra | BTM Layout | CV Raman Nagar | Electronic City | Girinagar | Gottigere | Hebbal | Hoodi | HSR Layout | Hulimavu | Indira Nagar | Jalahalli | Jayanagar | J. P. Nagar | Kamakshipalya | Kalyan Nagar | Kammanahalli | Kengeri | Koramangala | Kothnur | Krishnarajapuram | Kumaraswamy Layout | Lingarajapuram | Mahadevapura | Mahalakshmi Layout | Malleshwaram | Marathahalli | Mathikere | Nagarbhavi | Nandini Layout | Nayandahalli | Padmanabhanagar | Peenya | Pete Area | Rajaji Nagar | Rajarajeshwari Nagar | Ramamurthy Nagar | R. T. Nagar | Sadashivanagar | Seshadripuram | Shivajinagar | Ulsoor | Uttarahalli | Varthur | Vasanth Nagar | Vidyaranyapura | Vijayanagar | White Field | Yelahanka | Yeshwanthpur
Mumbai | Pune | Nagpur | Delhi | Gurugram | Chennai | Hyderabad | Coimbatore | Bhubaneswar | Kolkata | Indore | Jaipur and More
