Python

1. Python Basics (Data Types, Variables, Loops, Conditions)
2. Functions and Modules
3. File Handling
4. Exception Handling
5. Object-Oriented Programming (OOP)
6. Working with Libraries
7. Decorators and Generators
8. Regular Expressions
9. Python Comprehensions
10. Multi-threading and Multiprocessing

NumPy

1. NumPy Arrays and Array Operations
2. Indexing, Slicing, and Iterating
3. Data Types and Attributes
4. Mathematical Functions and Operations
5. Broadcasting and Vectorization
6. Array Manipulation (Reshaping, Joining, Splitting)
7. Statistical and Random Functions
8. Linear Algebra with NumPy
9. NumPy I/O
IF
• Looping Constructs (LOOP, WHILE, FOR)

Pandas

1. Pandas Data Structures (Series, Data Frame)
2. Indexing, Slicing, and Subsetting Data
3. Data Cleaning and Preprocessing
4. Handling Missing Data
5. Data Aggregation and Grouping
6. Merging and Joining Data Frames
7. Pivot Tables and Cross-tabulation
8. Time Series Analysis
9. Data Visualization with Pandas

Matplotlib

1. Basic Plotting (Line, Bar, Scatter Plots)
2. Customizing Plots (Labels, Titles, Legends)
3. Subplots and Grids
4. Working with Colours and Styles
5. Plot Annotations
6. Advanced Plot Types (Histograms, Pie Charts, 3D Plots)
7. Interactive Plots
8. Exporting Plots to Files

MySQL

1. Basic SQL Queries (SELECT, INSERT, UPDATE, DELETE)
2. Joins (INNER, LEFT, RIGHT, FULL)
3. Aggregate Functions (SUM, AVG, COUNT)
4. Indexing and Query Optimization
5. Stored Procedures and Triggers
6. Transaction Management
7. Backup and Restore
8. Connecting MySQL with Python

Scikit-learn

1. Introduction to Supervised and Unsupervised Learning
2. Data Pre-processing and Feature Engineering
3. Classification Algorithms (Logistic Regression, SVM)
4. Regression Algorithms (Linear, Polynomial)
5. Clustering Algorithms (K-Means, DBSCAN)

TensorFlow & Keras

1. Basics of Tensors and Operations
2. Neural Networks Basics
3. Convolutional Neural Networks (CNNs)
4. Recurrent Neural Networks (RNNs)
5. Transfer Learning and Pre-trained Models
6. Saving and Loading Models