List and Tuples

Dictionaries

Sets

Conditions and Branching

Loops

Functions

Exception Handling

Objects and Classes

Reading Files with Open

Writing Files with Open

Pandas: Loading Data

Pandas: Working with and Saving Data

Numpy: One Dimensional Numpy

Numpy: Two Dimensional Numpy

Application Program Interface

REST APIs & HTTP Requests - Part 1

REST APIs & HTTP Requests - Part 2

(OPTIONAL) HTML for Web Scraping

(OPTIONAL) Web Scraping

Working with Different File Formats

Exploratory Data Analysis in Pandas

Visualizing Data using Python

Median, Mean, Mode, Percentile _ Math, Statistics for data science

Data Science : Covariance and Correlation Analysis

Supervised vs Unsupervised vs Reinforcement Learning

Machine Learning : What Is Machine Learning

Common ML applications

Building a simple Linear Regression or Classification model

Train/test split, accuracy metrics

Jupyter Notebooks – Common in data science workflows

Virtual Environments & Package Management – Using pip, venv, conda

Basic Git/GitHub Workflow – For version control and collaboration