Module 1 – Data Science Overview

• Introduction to Data Science90 Mins

Module 2 – Python

• Python Setup Environment and Basics120 Mins
• Practice Program60 Mins
• Python Operators120 Mins
• Practice Program60 Mins
• Python Control Statements90 Mins
• Practice Program60 Mins
• Python Loops120 Mins
• Practice Program90 Mins
• List and Set120 Mins
• Practice Program60 Mins
• Tuple & Dictionary90 Mins
• Practice Program60 Mins
• Function60 Mins
• Practice Program90 Mins
• Python Modules90 Mins
• Practice Program60 Mins
• Assessment90 Mins
• Python OOPs – Class & Constructor120 Mins
• Practice Program60 Mins
• Python OOPs – Inheritance & Polymorphism120 Mins
• Python OOPs – Abstraction & Encapsulation60 Mins
• Practice Program60 Mins
• Python File & Exception Handling120 Mins
• Tkinter Introduction60 Mins
• Widgets90 Mins
• Practice Program90 Mins

Module 3 – Exploratory Data Analysis (EDA)

Exploratory Data Analysis using NumPy and Pandas

• Introduction to NumPy60 Mins
• NumPy Arrays90 Mins
• Array Indexing and Slicing60 Mins
• NumPy Operations60 Mins
• Array Manipulation60 Mins
• NumPy Linear Algebra120 Mins
• NumPy Random Module60 Mins
• NumPy Data Handling90 Mins
• Practice Questions30 Mins
• Introduction to Pandas30 Mins
• Creating and Accessing Data30 Mins
• Selecting and Modifying Data30 Mins
• Data Aggregation and Grouping30 Mins
• Advanced Data Handling60 Mins
• Practice Program30 Mins
• Introduction to Statistics180 Mins
• Data Visualization60 Mins
• Matplotlib60 Mins
• Seaborn60 Mins
• Practice Program120 Mins
• Assessment60 Mins
• Main Project180 Mins

Module 4 – Machine Learning

• Introduction of Machine Learning120 Mins
• Data Preprocessing120 Mins
• Probability90 Mins
• Hypothesis Testing90 Mins
• Bayes' Theorem60 Mins
• Sampling Techniques90 Mins
• Central Limit Theorem (CLT)60 Mins
• Statistical Decision Making: p-value Method60 Mins
• Feature Selection60 Mins
• Feature Extraction & Train_Test_Split120 Mins
• Introduction of Supervised Learning120 Mins
• Regression120 Mins
• Classification120 Mins
• Assessment120 Mins
• Supervised Learning – Project 1240 Mins
• Introduction of Unsupervised Learning120 Mins
• Clustering180 Mins
• Dimensionality Reduction180 Mins
• Assessment120 Mins
• Unsupervised Learning – Project 2120 Mins
• Reinforcement Learning180 Mins
• Assessment120 Mins
• Reinforcement Learning – Project 3120 Mins
• Assessment90 Mins

Module 5 – Streamlit

• Introduction to Streamlit90 Mins
• User Inputs60 Mins
• Streamlit with Machine Learning90 Mins
• Assessment30 Mins
• Streamlit Project90 Mins

Module 6 – Deep Learning

• Introduction to Deep Learning90 Mins
• Neural Networks90 Mins
• How Deep Learning Works120 Mins
• Deep Learning Life Cycle90 Mins
• Deep Learning Models240 Mins
• MCQ Test60 Mins
• Assessment30 Mins
• Main Project240 Mins

Module 7 – MySQL

• Fundamentals of MySQL60 Mins
• Practice Program60 Mins
• Querying & Filtering Data60 Mins
• Practice Program60 Mins
• Joins & Relational Queries60 Mins
• Practice Program60 Mins
• MySQL Connectivity Basics30 Mins
• Advanced MySQL Connectivity60 Mins
• Assessment60 Mins
• Project120 Mins

Module 8 – Power BI

• Introduction to Power BI60 Mins
• Why Power BI?90 Mins
• Getting Started with Power BI Desktop60 Mins
• Data Loading and Transformation45 Mins
• Introduction to Data Visualizations60 Mins
• Practice Task60 Mins
• Data Modeling and Relationships60 Mins
• Relationship Cardinality and Cross-Filtering45 Mins
• Creating Measures with DAX (Introduction)45 Mins
• Understanding Hierarchies45 Mins
• Power BI Query Editor60 Mins
• Practice Task90 Mins
• Advanced Data Modeling and DAX Functions60 Mins
• Aggregation Functions45 Mins
• Creating Calculated Tables60 Mins
• Handling Time Intelligence in Power BI90 Mins
• Introduction to Power BI Bookmarks60 Mins
• Practice Task90 Mins
• Practice Task90 Mins
• Visualizations and Reporting90 Mins
• Advanced Visualizations60 Mins
• Using Waterfall, Funnel, and TreeMap Visuals90 Mins
• Drillthrough, Drilldown, and Slicers90 Mins
• Power BI Report Interactivity90 Mins
• Practice Task90 Mins
• Publishing and Sharing Reports60 Mins
• Sharing Reports and Dashboards with Users45 Mins
• Power BI Data Refresh60 Mins
• Security and Permissions in Power BI60 Mins
• Practice Task90 Mins
• Assessment120 Mins
• Project240 Mins

Module 9 – Tableau

• Introduction to Tableau60 Mins
• Getting Started with Tableau Desktop60 Mins
• Basic Data Exploration and Visualizations90 Mins
• Introduction to Dashboards and Reports90 Mins
• Practice60 Mins
• Data Connections in Tableau60 Mins
• Data Relationships and Joins120 Mins
• Data Transformation in Tableau120 Mins
• Data Extracts and Refreshes120 Mins
• Advanced Data Transformations120 Mins
• Practice120 Mins
• Advanced Visualization Techniques120 Mins
• Advanced Formatting and Customization120 Mins
• Using Parameters in Tableau120 Mins
• Calculated Fields and Table Calculations120 Mins
• Analytics Pane120 Mins
• Practice120 Mins
• Creating Interactive Dashboards120 Mins
• Using Maps in Tableau120 Mins
• Responsive Dashboard Design120 Mins
• Dashboard and Report Navigation120 Mins
• Exporting and Sharing Dashboards120 Mins
• Practice120 Mins
• Assessment60 Mins
• Project180 Mins

Module 10 – Basic Excel

• Excel Interface and Basic Functions90 Mins
• Practice Task90 Mins
• Data Analysis with Excel120 Mins
• Practice Task90 Mins
• Charting and Graphing in Excel120 Mins
• Practice Task120 Mins
• Data Transformation and Modeling120 Mins
• Practice Task90 Mins
• Assessment60 Mins
• Project120 Mins

Module 11 – Advanced Excel

• Excel Automation and Macros120 Mins
• Excel for Collaboration and Security160 Mins
• Practice Task90 Mins
• Building Complex Data Models and Dashboards90 Mins
• Practice Task90 Mins
• Advanced Financial and Statistical Functions100 Mins
• Practice Task90 Mins
• Integrating Excel with Other Softwares100 Mins
• Practice Task120 Mins
• Working with Big Data in Excel120 Mins
• Practice Task120 Mins
• Assessment240 Mins
• Main Project360 Mins

Module 12 – AI Tools

Application of AI in Data Analytics

• GitHub Copilot120 Mins
• Cursor120 Mins