Live Online Python Course for Data Science

Python for Data Science – Live Course Module

Total Duration: 6 Weeks (36 Hours)

1. Week 1 – Python Foundations (6 Hours)

   • Introduction to Python, IDEs (Jupyter, VS Code, Google Colab) – 1 hr

   • Variables, Data Types, Operators – 1 hr

   • Control Structures (if-else, loops) – 2 hrs

   • Functions, Scope, and Modules – 2 hrs

2. Week 2 – Data Structures & Libraries (6 Hours)

   • Lists, Tuples, Sets, Dictionaries – 2 hrs

   • String Handling & Regular Expressions – 1 hr

   • Introduction to NumPy (arrays, indexing, operations) – 2 hrs

   • Working with Pandas (Series & DataFrames) – 1 hr

3. Week 3 – Data Handling & Cleaning (6 Hours)

   • Importing Data (CSV, Excel, JSON, SQL) – 1 hr

   • Handling Missing Values & Duplicates – 1 hr

   • Data Transformation (merge, join, groupby, pivot) – 2 hrs

   • Exploratory Data Analysis (EDA) Basics – 2 hrs

4. Week 4 – Data Visualization (6 Hours)

   • Matplotlib Basics (line, bar, scatter, pie) – 2 hrs

   • Seaborn for Statistical Plots – 2 hrs

   • Advanced Visualizations (heatmaps, pairplots, subplots) – 2 hrs

5. Week 5 – Statistics & Machine Learning Foundations (6 Hours)

   • Descriptive Statistics (mean, median, mode, variance, correlation) – 2 hrs

   • Probability & Distributions – 1 hr

   • Introduction to Scikit-learn – 1 hr

   • Basic ML Models (Linear Regression, Logistic Regression) – 2 hrs

6. Week 6 – Project & Case Studies (6 Hours)

   • Mini Project 1: Data Cleaning & Visualization – 2 hrs

   • Mini Project 2: Predictive Modeling with Scikit-learn – 2 hrs

   • Final Project (End-to-End Data Science Workflow) – 2 hrs