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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 Science, Analytics & Artificial 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

 

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 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 Structures & Algorithms in Python (40 Hours)

  • Introduction to Data Structures
  • Arrays & Linked List
  • Stacks & Queues
  • Dictionary & Hashing
  • Trees and Binary Search Trees
  • Traversal Algorithms in Trees
  • Graphs & Graph Representation
  • Traversal algorithms in Graphs
  • Searching & Sorting
  • Greedy Algorithm
  • Pattern Searching
  • Time Complexity Analysis

UNIT 5: Statistics & Machine Learning (60 Hours)

This course provides a comprehensive overview of statistical concepts and machine learning techniques, along with their practical applications. You will learn machine learning algorithms, explore various case studies to understand real-world applications and build models to reinforce your learning.

 

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

 

Module 2: 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 3: Advanced Machine Learning

  • Clustering & K-means
  • K-Means Clustering Model
  • Ensemble approach
  • Bootstrapping + Aggregation = Bagging
  • Bagging vs Boosting
  • Hyperparameter Tuning for GridSearchCV
  • XGBoost Explanatory Model Building
  • Boosting Ensemble Models
  • Adaptive Boosting (AdaBoost)
  • Handling Imbalanced Dataset
    • Resampling (Oversampling & Undersampling)
    • Oversampling Technique (SMOTE)
  • Gradient Boosting
  • CatBoost
  • LightGBM
  • Support Vector Classifier (SVC) & Support Vector Machines (SVM)
  • Principal Component Analysis (PCA)
    • Use of Dimensionality Reduction Technique
    • Difference with Feature Selection Techniques
  • Density-based Spatial Clustering of Applications with Noise (DBSCAN)
  • Hyperparameter Tuning

 

Tools Covered: Pandas, Matplotlib, Sk Learn, LightGBM

 

Class Projects:

  • Project with practical application of Regression, Classification, and Clustering algorithms using Machine Learning concepts.
  • Case studies in various domains (e.g., healthcare, finance, marketing, supply chain, etc.) like:
  • Spam Mail Classifier using Naive Bayes Algorithm
  • Detect car Insurance Fraud Claims
  • Heart disease detection using ML

 

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

UNIT 6: Time-Series Analysis (12 Hours)

The Time Series Analysis course will help you learn how to model, forecast, and analyze time-based data that contains date and time parameters. These techniques are used for predictions in various industries. Eg. Stock Price Prediction,  ECG Anomaly Detection, Earthquake Prediction, Inflation Rate Prediction, Migration Prediction, Rainfall Prediction, Internet Traffic Prediction, Energy Demand Forecasting, etc.

 

Module 1: 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

UNIT 7: NLP - Natural Language Processing (16 Hours)

The NLP specialization will help you gain experience in techniques such as; text preprocessing, sentiment analysis, and building text-based models. These concepts will further help us build Machine Learning & AI models like Grammarly, ChatGPT, and Alexa.

 

Module 1: NLP

  • Introduction to Natural Language Processing
  • Text Preprocessing
  • Text Embedding Techniques
  • Word2Vec Text Embedding
  • Topic modeling (LDA, LSA)
  • Named Entity Recognition (NER)
  • Part-of-Speech Tagging (POS Tagging)
  • Transformer architecture and BERT model
  • Text classification models

 

Class Projects:

  • To classify an email as spam or not spam
  • Social media sentiment analysis
  • Translation & summarization of News
  • Generate optimized title/headline
  • Case Study on Recommendation Engine

 

Tools Covered: NLTK, Spacy, BERT

UNIT 8: Deep Learning & Reinforcement Learning (24 Hours)

Deep Learning, is a subset of machine learning that focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data. On the other hand, in reinforcement Learning, you will learn to build a sequential model that interacts with the environment to achieve a goal by receiving real-time feedback.

 

Module 1: Deep Learning 

  • Introduction to Deep Learning
  • Forward Propagation in ANN
  • Backpropagation in ANN
  • ReLU vs Leaky ReLU
  • Exploding Gradient Problem
  • Stochastic Gradient Descent (SGD) Optimizer
  • Artificial Neural Network (ANN)
  • L1 & L2 Regularization in ANN
  • Loss Functions for Regression (MSE, RMSE, MAE, Huber Loss)
  • Loss functions for classification (Cross Entropy Loss)
  • Weight Initialisation Techniques
  • Recurrent Neural Network (RNN)
  • Vanishing Gradient Problem in RNN
  • Long Short Term Memory (LSTM) Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Generative Adversarial Networks (GAN)
  • Autoencoders & Variational Autoencoders (VAEs)
  • Optimization Techniques for Deep Learning
  • Hyperparameter Tuning

 

Class Projects

  • Diabetes detection using Artificial Neural Network (ANN)
  • Fake News Classification using LSTM Network
  • Sentiment analysis for social media & customer reviews
  • Stock Price Forecasting using LSTM Neural Network
  • Applications in Information Retrieval & Recommendation Systems
  • Heart Disease Detection project

 

Tools Covered: Tensorflow, Keras, PyTorch

 

Module 2: Reinforcement Learning 

  • Fundamentals of Reinforcement Learning
  • Markov Decision Processes (MDPs)
  • Monte Carlo Methods
  • Temporal Difference Learning
  • Q-Learning and SARSA
  • Policy Gradient Methods
  • Multi-Agent & Hierarchical Reinforcement Learning
  • Reinforcement Learning with Deep Learning
  • Deep Q-Networks (DQN)
  • Transfer Learning & Lifelong learning and Fine-tuning

 

Class Projects:

  • Dynamic Pricing Strategies in E-commerce
  • Optimizing Supply Chain Logistics
  • Personalized Healthcare Treatment Planning
  • Reinforcement Learning-Based Autonomous Driving

UNIT 9: Computer Vision (12 Hours)

In this unit, we’ll delve into computer vision for image analysis. We’ll explore image classification, object detection, and segmentation in computer vision using deep-learning architectures like CNNs.

 

Module 1: Computer Vision 

  • Introduction to Computer Vision
  • Convolutional Neural Network (CNN)
  • Difference between CNN and other neural networks
  • Concept of CNN architectures
  • Introduction to OpenCV
  • Image Processing using OpenCV
  • Deep CNN
  • Capturing videoframes
  • Object Tracking using HSV colorspace range
  • Image Thresholding techniques
  • Canny Edge Detection Algorithm & Implementation
  • Hough Line & Circle Transform
  • Image classification & segmentation using OpenCV
  • Identifying Contours using OpenCV
  • Object Detection in OpenCV

 

Class Project:

  • Tomato Leaf Disease Classification using OpenCV Inception V3
  • Objects/Persons Tracking using OpenCV
  • Road Lane Detection using OpenCV
  • Face & Eye detection using OpenCV

 

Tools Used: Tensorflow, Keras, Open CV

UNIT 10: Generative AI & Prompt Engineering (28 Hours)

In this unit, we’ll delve into generative AI and prompt engineering tools. Generative AI will introduce us to large language models, GANs, and autoregressive models for creating new content. At the same time, prompt engineering tools will help us craft effective prompts for guiding AI models, particularly language models like GPT.

 

Module 1: Generative AI and Large Language Models 

  • Introduction to Generative AI
  • Traditional AI vs Generative AI
  • Regular Model Building vs Generation
  • Introduction to Transformer Architecture 
  • Embedding component (Word Embedding & Positional Embedding)
  • BERT (Encoder-Decoder Architecture) vs GPT (Decoder Architecture)
  • Introduction to Generative Pretrained Transformers (GPT) – Text Generation: Word Generation, Sentence Generation
  • ChatGPT (GPT-3.5-Turbo & GPT-4 model)
  • Open Source Large Language Models (LLMs)
  • Huggingface Open LLM Leaderboard
  • LLM Benchmarking datasets
  • Prompts, Contexts, and Structure of Prompts
  • Retrieval Augmented Generation (RAG) Workflow
  • Langchain implementation of RAG
  • Fine-tuning: Concepts of Text Embeddings, Text Similarity 
  • Generation vs Chat Generation
  • Text Generation Model vs Chat Model
  • Reinforcement Learning Human Feedback (RLHF) loop
  • Image Generation: Generative Adversarial Networks (GANs)
  • Auto Encoders & Variational Autoencoders

 

Tools Covered: Open AI, BERT, Huggingface 

 

Class Project:

  • Fake news classification using LSTM
  • Domain-specific (eg: Healthcare) Chatbot using Gen AI
  • Chatbot using Meta/Llama-2 LLM
  • Context-based chatbot using RAG workflow – Indexing a PDF file on Pinecone Vector Database, Implementation using Langchain library

 

Module 2: 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 11: Database Management (40 Hours)

Learn practically data mining, optimizing query performance, and ensuring data integrity on SQL. Advanced topics include NoSQL databases like MongoDB, distributed systems, and data warehousing, preparing students for diverse data roles.

 

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: MongoDB 

  • Introduction to MongoDB
  • MongoDB essentials
  • Structure of MongoDB
  • Advanced MongoDB Queries
  • Integrating MongoDB with Python for Data

 

Tools Covered: MySQL, SQL Server, MongoDB

UNIT 12: Data Visualization & Analytics (36 Hours)

This unit consists of two of the most prominently used tools for data visualization & analytics: Power BI and Tableau. You will learn to create interactive dashboards, reports, and visualizations to analyze and communicate insights effectively.

 

Module 1: 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 2: 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 3: 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 13: Big Data Analytics (48 Hours)

In this unit, you will delve into two of the big data analytics tools Spark, Hadoop, and Kafka, the key components of modern data processing ecosystems. You will learn to harness Spark’s distributed computing power, Hadoop’s storage and processing capabilities, and Kafka’s real-time data streaming for scalable data processing & analysis.

 

Module 1: Apache Hadoop 

  • Overview of Big Data and Distributed Computing
  • The Hadoop ecosystem and its components
  • Architecture: HDFS and MapReduce
  • Setting Up Hadoop Environment
  • Managing files and directories in HDFS
  • Performing HDFS operations
  • MapReduce paradigm: mapper, reducer, and shuffle phases
  • Running and monitoring MapReduce jobs on Hadoop clusters
  • YARN and Hadoop Ecosystem
  • Hadoop ecosystem projects: Hive, Pig, HBase, etc.
  • SQOOP (SQL in HADOOP)
  • Integrating Hadoop with other Big Data technologies

 

Module 2: Apache Spark 

  • Overview of Apache Spark and its features
  • Spark architecture: RDDs, DAGs, and transformations/actions
  • Introduction to Spark ecosystem components
  • Setting Up Spark Environment
  • Managing Spark clusters with Apache Mesos or Hadoop YARN
  • Understanding RDDs: creation, transformation, and actions
  • Spark SQL and DataFrames
  • Querying structured data with SQL and DataFrame operations
  • Interoperability between RDDs and DataFrames
  • Spark Streaming for real-time data processing
  • Integrating Spark Streaming with Kafka
  • Spark MLlib: machine learning library for Spark
  • Building and training machine learning models with MLlib
  • Performing analytics tasks with Spark MLlib

 

Module 3: Apache Kafka

  • Overview of Apache Kafka and its Features
  • Kafka architecture: topics, partitions, and replication
  • Ecosystem components: producers, consumers, and brokers
  • Setting Up Kafka Environment
  • Managing Kafka brokers, topics, and partitions
  • Kafka command-line tools and administrative interfaces
  • Producers and Consumers
  • Transformations, aggregations, and windowing operations with Kafka Streams
  • Integrating Kafka Connect with databases, file systems, and other data sources

 

Tools Covered: Spark, Hadoop, Kafka

UNIT 14: Cloud Deployment of ML & AI 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. 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

UNIT 15: MLOps & Machine Learning Pipeline (60 Hours)

This unit includes MLOps, or Machine Learning Operations, the practice of streamlining and automating the lifecycle of machine learning models. You will learn MLOps using any of MLFlow, Kubeflow & TFX to integrate machine learning models into production environments efficiently and reliably.

 

Module 1: MLFlow 

  • Introduction to MLOps and MLflow
  • MLflow: architecture, components, and key features
  • Experiment Tracking with MLflow
  • MLflow Projects
  • Packaging and Deploying Models with MLFlow
  • Scalable Machine Learning Workflows with MLflow and Apache Spark
  • Continuous Integration and Continuous Deployment (CI/CD) with MLflow
  • Monitoring and Model Performance Management
  • Collaboration and Reproducibility

 

Module 2: Kubeflow 

  • Introduction to MLOps and Kubeflow
  • Kubeflow: architecture, components, and key features
  • Setting up the Kubeflow Environment
  • Building Machine Learning Pipelines with Kubeflow Pipelines
  • Training and Experimentation with Kubeflow Katib
  • Model Serving with Kubeflow Serving
  • Model Monitoring and Management with Kubeflow Metadata
  • Continuous Integration and Continuous Deployment (CI/CD) with Kubeflow

 

Module 3: TensorFlow Extended (TFX)

  • Introduction to MLOps and TensorFlow Extended (TFX)
  • TensorFlow Extended (TFX): architecture, components, and key features
  • Setting up the TFX Environment
  • Data Validation and Preprocessing with TFX Data Validation and TFX Transform
  • Model Training with TFX Trainer
  • Model Evaluation with TFX Model Analysis
  • Model Serving with TFX Serving
  • Model Monitoring and Management with TFX Metadata and TFX ML Metadata
  • Continuous Integration and Continuous Deployment (CI/CD) with TFX

 

Tools Covered: MLFlow, Kubeflow, TFX

UNIT 16: Project Management - Agile, Scrum & Jira (20 Hours)

In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints. Utilizing project management tools such as Asana, Trello, or Jira enhances efficiency in task management, collaboration, and tracking progress.

 

Module 1: Introduction to Project Management

  • Importance of project management
  • Project life cycle and phases
  • Feasibility studies and project selection criteria
  • Project Planning & Execution
  • Performance measurement & Metrics
  • Agile Project Management
  • Project Management Tools
  • Project management templates

 

Module 2: Agile & Scrum

  • Introduction to Agile Methodologies
  • Benefits & Challenges of Agile Implementation
  • Understanding the Agile methodology and principles
  • Scrum Framework Overview
  • Scrum roles, events & artifacts
  • Daily Scrum and Task Management
  • Agile Planning and Estimation
  • Sprint Execution and Delivery
  • Scrum Master Role and Responsibilities
  • Agile Execution and Monitoring
  • Agile Metrics and Reporting
  • Adaptation and Continuous Improvement
  • Agile tools and software (Eg. Jira, Trello, Asana)

 

Module 3: Jira

  • Introduction to Jira
  • Jira projects, issues, and workflows
  • Jira interface and project navigation
  • Creating and Managing Projects
  • Task Management and Collaboration
  • Managing Issues and Workflows
  • Configuring Agile Boards (Scrum & Kanban)
  • Reporting and Dashboards
  • Integrating Jira with other Tools and Systems

 

Tools Covered: Agile. Scrum, Jira, Kanban

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    All Answers To Your Future Career

    Learn More About Your Learning Options

    All Answers To Your Future Career

    Which courses are available with 1stepGrow?

    At 1stepGrow Academy, we offer a range of Advance Skill Development Courses to empower students who can drive digital transformation in the corporate sector.. Currently, our training programs include courses in the following areas: 

    • Data Science
    • Data Analytics
    • Machine Learning
    • Artificial Intelligence
    • Digital Marketing

    I come from a non-technical background and have no programming experience. Can I enroll in technical courses?

    At 1stepGrow, we understand that everyone has a unique background and skillset. Before enrolling in our training programs, our experts conduct personalized counseling sessions to assess various factors such as your educational background, ability to comprehend the subject matter, willingness to implement what you learn, and past experience with tools and technology. Based on this assessment, we suggest the most suitable program for your personal career growth.

    How many students are typically in each batch?

    We believe in providing quality training that includes personal attention from mentors. To ensure a healthy and effective learning experience, we maintain small batch sizes. Our batches typically have a maximum of 15 students, allowing for one-on-one training and daily doubt-solving sessions to cater to the individual needs of our students.

    Do you conduct live training sessions or recorded sessions for the online training courses?

    At 1stepGrow, our training sessions are conducted through 100% live, instructor-led interactive sessions. This means that you will participate in real-time classes with an experienced instructor guiding you. Additionally, we understand the importance of flexibility, so you will also have access to recorded sessions of the classes conducted. This enables you to revise, recap, or catch up on any missed sessions according to your convenience.

    What are the benefits of choosing an online training program at 1stepGrow?

    We have observed a growing trend of students switching from offline to online training programs, and there are several reasons for this shift. At 1stepGrow, our online training courses offer numerous advantages, including:

    • Availability of recorded sessions, reducing the chances of missing any classes
    • Time saved on commuting to physical training centers
    • More time and energy for practice and learning
    • Immediate solutions to your queries through live sessions with expert trainers

    What can I expect from a Free Career Counseling Session at 1stepGrow for Skill Development Courses?

    Our Career Counsellors at 1stepGrow are industry experts who understand the job demands and requirements of various industries. During a Free Career Counseling Session, our counselors will focus on understanding your profile, strengths, and weaknesses. They will provide you with personalized guidance and recommend the most suitable career path for you. You can also ask questions about project experience, course structure, and any other queries you may have.

    What does "instructor-led online training" mean at 1stepGrow?

    “Instructor-led online training” at 1stepGrow refers to a training model where experienced instructors conduct interactive training sessions with students over the internet. These sessions allow for active learning and interaction between you and your trainer. Our instructors guide you through the course material, provide explanations, and address your queries in real-time, ensuring a dynamic and engaging learning experience.

    What should I do if I miss a live session?

    We understand you may miss a live session due to various reasons. At 1stepGrow, we have a solution for that. Every student is provided with access to our Learning Management System (LMS), where all class recordings and class notes are uploaded after each session. If you happen to miss a live session, you can access the class recording through the LMS and go through the session before the next class to stay up to date with the course.

    How does having a smaller batch size enhance the learning experience at 1stepGrow?

    We believe that a smaller batch size contributes to a more conducive learning environment. Larger batch sizes can resemble simple recorded sessions, where students may find it challenging to ask questions and resolve their queries during the session. At 1stepGrow, we maintain smaller batch sizes, typically limited to 15 students per batch that allows for a healthier interaction between students and trainers.

    Can students ask questions during the live training sessions?

    Absolutely! The objective of conducting live online classes at 1stepGrow is to provide students with an opportunity to interact with the trainer and clear their doubts as they arise. We understand the importance of active participation and engagement.

    What are the different modes of payment available for the Skill Development Courses at 1stepGrow?

    At 1stepGrow, we offer multiple convenient modes of payment for our Skill Development Courses. You can choose from the following options:

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

    How can I avail a No-Cost EMI option for the course fees at 1stepGrow?

    We have partnered with a Non-Banking Financial Company (NBFC) to provide interest-free loan facilities to our students. To avail the No-Cost EMI option, you will need to share documents such as Aadhar, PAN, and 3-month bank statements with our banking partner. They will evaluate your credit score and approve the loan accordingly. Once approved, you can choose the zero-cost EMI option for the respective course and proceed with the payment.

    What does "instructor-led online training" mean at 1stepGrow?

    “Instructor-led online training” at 1stepGrow refers to a training model where experienced instructors conduct interactive training sessions with students over the internet. These sessions allow for active learning and interaction between you and your trainer. Our instructors guide you through the course material, provide explanations, and address your queries in real-time, ensuring a dynamic and engaging learning experience.

    What should I do if I miss a live session?

    We understand you may miss a live session due to various reasons. At 1stepGrow, we have a solution for that. Every student is provided with access to our Learning Management System (LMS), where all class recordings and class notes are uploaded after each session. If you happen to miss a live session, you can access the class recording through the LMS and go through the session before the next class to stay up to date with the course.

    How does having a smaller batch size enhance the learning experience at 1stepGrow?

    We believe that a smaller batch size contributes to a more conducive learning environment. Larger batch sizes can resemble simple recorded sessions, where students may find it challenging to ask questions and resolve their queries during the session. At 1stepGrow, we maintain smaller batch sizes, typically limited to 15 students per batch that allows for a healthier interaction between students and trainers.

    Can students ask questions during the live training sessions?

    Absolutely! The objective of conducting live online classes at 1stepGrow is to provide students with an opportunity to interact with the trainer and clear their doubts as they arise. We understand the importance of active participation and engagement.

    What are the different modes of payment available for the Skill Development Courses at 1stepGrow?

    At 1stepGrow, we offer multiple convenient modes of payment for our Skill Development Courses. You can choose from the following options:

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

    How can I avail a No-Cost EMI option for the course fees at 1stepGrow?

    We have partnered with a Non-Banking Financial Company (NBFC) to provide interest-free loan facilities to our students. To avail the No-Cost EMI option, you will need to share documents such as Aadhar, PAN, and 3-month bank statements with our banking partner. They will evaluate your credit score and approve the loan accordingly. Once approved, you can choose the zero-cost EMI option for the respective course and proceed with the payment.

    What are real-time projects and how do they benefit me?

    Real-time projects at 1stepGrow refer to projects or data sourced directly from the industry. These projects are designed to help you learn and apply concepts and related tools in a practical setting. Working on these projects enables you to gain hands-on experience, bridge the gap between theory and practice, and develop practical skills that are highly valued in the industry.

     

    Why are domain specializations important and what do they entail?

    At 1stepGrow, we recognize the importance of domain specialization in the ever-evolving job market. We provide industry-specific training by incorporating capstone projects and mentorship based on industry-wide data and practices. Domain specializations allow you to expand your knowledge and gain expertise in specific industries or sectors. By focusing on a particular domain, you increase your chances of clearing interviews and landing job opportunities that align with your interests and career goals.

    What is project experience, and how can I obtain certification for it from 1stepGrow and partnering companies?

    Project experience refers to the practical experience gained by working on end-to-end projects during your training at 1stepGrow. These projects involve implementing the concepts and tools you learn in the class and provide you with hands-on experience in a real-world context. Upon completion of a project, it is assessed by 1stepGrow and our partner companies. If your project meets the required standards, we issue a project experience certificate in collaboration with our partner company. This certificate validates your practical skills and serves as a valuable addition to your professional portfolio.

    Can I choose my own mentor for the program?

    At 1stepGrow, we provide a specialized mentor for each subject to ensure expertise and comprehensive guidance. So, the students have different trainers from industry for different subjects who hold expertise in their areas. 1stepGrow provides a specialised mentor for each subject to the batch as one mentor can never resolve queries of all the subjects with same expertise.

    However, if the batch is not satisfied with the mentor’s training method, they can raise the same to the management on student forum and the same will be resolved by allocating a different mentor for the batch.

    How can I get my queries resolved outside of class?

    We provide a student forum where you can connect with other students and trainers. If you have doubts or encounter errors while practicing, you can post your queries on the forum and get assistance.

    Are the mentors available 24x7 for calls or Zoom meetings to address class queries?

    While mentors are not available for immediate calls or Zoom sessions, they are dedicated to everyday doubt solving during classes. They are working professionals with expertise in their training area and will respond to forum queries in their free time.

    Do you conduct doubt-solving sessions?

    Yes, we conduct regular doubt-solving sessions in class. In addition to these sessions, we also organize separate doubt-solving sessions, assignment discussions, and project discussions at regular intervals.

    What is a job assistance program with 1stepGrow?

    We offer a comprehensive job assistance program for all our students enrolled in full-length courses. The job assistance program is designed to provide you with the necessary support and guidance to enhance your employability and increase your chances of securing a job. It includes various steps such as portfolio building, resume preparation, mock interviews, and job referrals.

    What is included in the Job Assistance program by 1stepGrow?

    At 1stepGrow, we understand the importance of securing a job after completing a training program. Our Job Assistance program is designed to provide you with the necessary support to help you achieve your dream job in the market. It consists of four key steps:

    • Portfolio/Profile Building: We assist you in creating a strong portfolio or profile that highlights your skills, projects, and achievements.
    • Resume Preparation: Our experts help you in crafting a professional and targeted resume that showcases your qualifications and experiences effectively.
    • Mock Interviews: We conduct mock interviews to simulate real interview scenarios and provide valuable feedback to improve your interview skills.
    • Job Referrals: We leverage our network and industry connections to refer you to relevant job opportunities and connect you with potential employers.

    Which courses are available with 1stepGrow?

    At 1stepGrow Academy, we offer a range of Advance Skill Development Courses to empower students who can drive digital transformation in the corporate sector.. Currently, our training programs include courses in the following areas: 

    • Data Science
    • Data Analytics
    • Machine Learning
    • Artificial Intelligence
    • Digital Marketing

    I come from a non-technical background and have no programming experience. Can I enrol in technical courses?

    At 1stepGrow, we understand that everyone has a unique background and skillset. Before enrolling in our training programs, our experts conduct personalized counseling sessions to assess various factors such as your educational background, ability to comprehend the subject matter, willingness to implement what you learn, and past experience with tools and technology. Based on this assessment, we suggest the most suitable program for your personal career growth.

    How many students are typically in each batch?

    We believe in providing quality training that includes personal attention from mentors. To ensure a healthy and effective learning experience, we maintain small batch sizes. Our batches typically have a maximum of 15 students, allowing for one-on-one training and daily doubt-solving sessions to cater to the individual needs of our students.

    Do you conduct live training sessions or recorded sessions for the online training courses?

    At 1stepGrow, our training sessions are conducted through 100% live, instructor-led interactive sessions. This means that you will participate in real-time classes with an experienced instructor guiding you. Additionally, we understand the importance of flexibility, so you will also have access to recorded sessions of the classes conducted. This enables you to revise, recap, or catch up on any missed sessions according to your convenience.

    What are the benefits of choosing an online training program at 1stepGrow?

    We have observed a growing trend of students switching from offline to online training programs, and there are several reasons for this shift. At 1stepGrow, our online training courses offer numerous advantages, including:

    • Availability of recorded sessions, reducing the chances of missing any classes
    • Time saved on commuting to physical training centers
    • More time and energy for practice and learning
    • Immediate solutions to your queries through live sessions with expert trainers

    What can I expect from a Free Career Counseling Session at 1stepGrow for Skill Development Courses?

    Our Career Counsellors at 1stepGrow are industry experts who understand the job demands and requirements of various industries. During a Free Career Counseling Session, our counselors will focus on understanding your profile, strengths, and weaknesses. They will provide you with personalized guidance and recommend the most suitable career path for you. You can also ask questions about project experience, course structure, and any other queries you may have.

    What does "instructor-led online training" mean at 1stepGrow?

    “Instructor-led online training” at 1stepGrow refers to a training model where experienced instructors conduct interactive training sessions with students over the internet. These sessions allow for active learning and interaction between you and your trainer. Our instructors guide you through the course material, provide explanations, and address your queries in real-time, ensuring a dynamic and engaging learning experience.

    What should I do if I miss a live session?

    We understand you may miss a live session due to various reasons. At 1stepGrow, we have a solution for that. Every student is provided with access to our Learning Management System (LMS), where all class recordings and class notes are uploaded after each session. If you happen to miss a live session, you can access the class recording through the LMS and go through the session before the next class to stay up to date with the course.

    How does having a smaller batch size enhance the learning experience at 1stepGrow?

    We believe that a smaller batch size contributes to a more conducive learning environment. Larger batch sizes can resemble simple recorded sessions, where students may find it challenging to ask questions and resolve their queries during the session. At 1stepGrow, we maintain smaller batch sizes, typically limited to 15 students per batch that allows for a healthier interaction between students and trainers.

    Can students ask questions during the live training sessions?

    Absolutely! The objective of conducting live online classes at 1stepGrow is to provide students with an opportunity to interact with the trainer and clear their doubts as they arise. We understand the importance of active participation and engagement.

    What are the different modes of payment available for the Skill Development Courses at 1stepGrow?

    At 1stepGrow, we offer multiple convenient modes of payment for our Skill Development Courses. You can choose from the following options:

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

    How can I avail a No-Cost EMI option for the course fees at 1stepGrow?

    We have partnered with a Non-Banking Financial Company (NBFC) to provide interest-free loan facilities to our students. To avail the No-Cost EMI option, you will need to share documents such as Aadhar, PAN, and 3-month bank statements with our banking partner. They will evaluate your credit score and approve the loan accordingly. Once approved, you can choose the zero-cost EMI option for the respective course and proceed with the payment.

    What does "instructor-led online training" mean at 1stepGrow?

    “Instructor-led online training” at 1stepGrow refers to a training model where experienced instructors conduct interactive training sessions with students over the internet. These sessions allow for active learning and interaction between you and your trainer. Our instructors guide you through the course material, provide explanations, and address your queries in real-time, ensuring a dynamic and engaging learning experience.

    What should I do if I miss a live session?

    We understand you may miss a live session due to various reasons. At 1stepGrow, we have a solution for that. Every student is provided with access to our Learning Management System (LMS), where all class recordings and class notes are uploaded after each session. If you happen to miss a live session, you can access the class recording through the LMS and go through the session before the next class to stay up to date with the course.

    How does having a smaller batch size enhance the learning experience at 1stepGrow?

    We believe that a smaller batch size contributes to a more conducive learning environment. Larger batch sizes can resemble simple recorded sessions, where students may find it challenging to ask questions and resolve their queries during the session. At 1stepGrow, we maintain smaller batch sizes, typically limited to 15 students per batch that allows for a healthier interaction between students and trainers.

    Can students ask questions during the live training sessions?

    Absolutely! The objective of conducting live online classes at 1stepGrow is to provide students with an opportunity to interact with the trainer and clear their doubts as they arise. We understand the importance of active participation and engagement.

    What are the different modes of payment available for the Skill Development Courses at 1stepGrow?

    At 1stepGrow, we offer multiple convenient modes of payment for our Skill Development Courses. You can choose from the following options:

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

    How can I avail a No-Cost EMI option for the course fees at 1stepGrow?

    We have partnered with a Non-Banking Financial Company (NBFC) to provide interest-free loan facilities to our students. To avail the No-Cost EMI option, you will need to share documents such as Aadhar, PAN, and 3-month bank statements with our banking partner. They will evaluate your credit score and approve the loan accordingly. Once approved, you can choose the zero-cost EMI option for the respective course and proceed with the payment.

    What are real-time projects and how do they benefit me?

    Real-time projects at 1stepGrow refer to projects or data sourced directly from the industry. These projects are designed to help you learn and apply concepts and related tools in a practical setting. Working on these projects enables you to gain hands-on experience, bridge the gap between theory and practice, and develop practical skills that are highly valued in the industry.

     

    Why are domain specializations important and what do they entail?

    At 1stepGrow, we recognize the importance of domain specialization in the ever-evolving job market. We provide industry-specific training by incorporating capstone projects and mentorship based on industry-wide data and practices. Domain specializations allow you to expand your knowledge and gain expertise in specific industries or sectors. By focusing on a particular domain, you increase your chances of clearing interviews and landing job opportunities that align with your interests and career goals.

    What is project experience, and how can I obtain certification for it from 1stepGrow and partnering companies?

    Project experience refers to the practical experience gained by working on end-to-end projects during your training at 1stepGrow. These projects involve implementing the concepts and tools you learn in the class and provide you with hands-on experience in a real-world context. Upon completion of a project, it is assessed by 1stepGrow and our partner companies. If your project meets the required standards, we issue a project experience certificate in collaboration with our partner company. This certificate validates your practical skills and serves as a valuable addition to your professional portfolio.

    Can I choose my own mentor for the program?

    At 1stepGrow, we provide a specialized mentor for each subject to ensure expertise and comprehensive guidance. So, the students have different trainers from industry for different subjects who hold expertise in their areas. 1stepGrow provides a specialised mentor for each subject to the batch as one mentor can never resolve queries of all the subjects with same expertise.

    However, if the batch is not satisfied with the mentor’s training method, they can raise the same to the management on student forum and the same will be resolved by allocating a different mentor for the batch.

    How can I get my queries resolved outside of class?

    We provide a student forum where you can connect with other students and trainers. If you have doubts or encounter errors while practicing, you can post your queries on the forum and get assistance.

    Are the mentors available 24x7 for calls or Zoom meetings to address class queries?

    While mentors are not available for immediate calls or Zoom sessions, they are dedicated to everyday doubt solving during classes. They are working professionals with expertise in their training area and will respond to forum queries in their free time.

    Do you conduct doubt-solving sessions?

    Yes, we conduct regular doubt-solving sessions in class. In addition to these sessions, we also organize separate doubt-solving sessions, assignment discussions, and project discussions at regular intervals.

    What is a job assistance program with 1stepGrow?

    We offer a comprehensive job assistance program for all our students enrolled in full-length courses. The job assistance program is designed to provide you with the necessary support and guidance to enhance your employability and increase your chances of securing a job. It includes various steps such as portfolio building, resume preparation, mock interviews, and job referrals.

    What is included in the Job Assistance program by 1stepGrow?

    At 1stepGrow, we understand the importance of securing a job after completing a training program. Our Job Assistance program is designed to provide you with the necessary support to help you achieve your dream job in the market. It consists of four key steps:

    • Portfolio/Profile Building: We assist you in creating a strong portfolio or profile that highlights your skills, projects, and achievements.
    • Resume Preparation: Our experts help you in crafting a professional and targeted resume that showcases your qualifications and experiences effectively.
    • Mock Interviews: We conduct mock interviews to simulate real interview scenarios and provide valuable feedback to improve your interview skills.
    • Job Referrals: We leverage our network and industry connections to refer you to relevant job opportunities and connect you with potential employers.
    300 x 300

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    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

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