Data Science with AI & ML → Applying data analysis techniques to real-world datasets and problem-solving scenarios

Pre-Learning - Python
- Getting Started with Python
Introduction to Data Science
- Introduction to DS and the Stages of DS Life Cycle
- Formulating Problems and Storytelling (using Excel)
Basic Excel
- Introduction to Excel
- Essential Formulas and Functions
- Formatting and Conditional Formatting
- Working with Worksheets and Workbooks
- Sorting and Filtering Data
- Basic Charts and Graphs
Advanced Excel
- Advanced Formulae and Functions
- Data Analysis Tools
- Advanced Formatting and Conditional Formatting
- Advanced Charting and Visualization
- Working with Macros and Automation
- Data Import and Analysis
Python Refresher for Data Science
- Python Essentials for Data Science
Mathematics Refresher for Data Science
- Essential Mathematics and Statistics for Data Science
Applied Data Science using Python
- Introduction to Numerical Analysis using NumPy
- Introduction to Data Wrangling using Pandas
Data Visualization in Data Science
- Introduction to Data Visualization using Matplotlib
- Advanced Statistical Visualization using Seaborn
EDA
- Introductory Statistics and Exploratory Data Analysis
Introduction to Machine Learning
- Introduction to Artificial Intelligence and Machine Learning
- Supervised/Unsupervised Machine Learning
Data Mining
- Data Mining using Python
Advanced Data Preprocessing Techniques
- Data Wrangling
- Feature Engineering and Feature Selection
Supervised Machine Learning
- Supervised Machine Learning – A Deep Dive
- Classification
- Decision Trees and Random Forests
Unsupervised Machine Learning
- Unsupervised Learning
MySQL Basics
- Basic SQL Queries
- Basic Aggregation Queries
- Basic DDL Queries
- RDBMS Permission
- RDBMS Transactions (TCL Queries)
- Advanced DML Queries
- RDBMS Indices and Views
- SQL Windowing Functions
- Advanced Windowing Techniques
- SQL Common Table Expressions
Data Analytics with Power BI
- Data Analysis with Power BI
Business Intelligence and Reporting
- Business Intelligence and Reporting
Ethics and Privacy in Data Analysis
- Ethics and Privacy in Data Analysis
Communication and Presentation Skills
- Communication and Presentation Skills
Real-World Projects and Case Studies
- Applying data analysis techniques to real-world datasets and problem-solving scenarios

Pre-Learning - Python

Introduction to Data Science

Basic Excel

Advanced Excel

Python Refresher for Data Science

Mathematics Refresher for Data Science

Applied Data Science using Python

Data Visualization in Data Science

EDA

Introduction to Machine Learning

Data Mining

Advanced Data Preprocessing Techniques

Supervised Machine Learning

Unsupervised Machine Learning

MySQL Basics

Data Analytics with Power BI

Business Intelligence and Reporting

Ethics and Privacy in Data Analysis

Communication and Presentation Skills

Real-World Projects and Case Studies

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Data Science with AI & ML

Pre-Learning - Python

Introduction to Data Science

Basic Excel

Advanced Excel

Python Refresher for Data Science

Mathematics Refresher for Data Science

Applied Data Science using Python

Data Visualization in Data Science

EDA

Introduction to Machine Learning

Data Mining

Advanced Data Preprocessing Techniques

Supervised Machine Learning

Unsupervised Machine Learning

MySQL Basics

Data Analytics with Power BI

Business Intelligence and Reporting

Ethics and Privacy in Data Analysis

Communication and Presentation Skills

Real-World Projects and Case Studies

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