Curriculum
5 Sections
30 Lessons
10 Weeks
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Module 1: Python for Data Science
8
1.1
Chapter 1: Python Installation & Setup
45 Minutes
1.2
Chapter 2: Basic Syntax & Data Types
45 Minutes
1.3
Chapter 3: Operators in Python
45 Minutes
1.4
Chapter 4: Data Structures – Strings, Lists, Tuples, Sets & Dictionaries
45 Minutes
1.5
Chapter 5: Conditional Statements & Loops
45 Minutes
1.6
Chapter 6: Functions, Lambda Functions & Modules
45 Minutes
1.7
Chapter 7: Exception Handling & File Handling
45 Minutes
1.8
Chapter 8: Hands-on Mini Project
45 Minutes
Module 2: Data Analysis & SQL
5
2.1
Chapter 9: Introduction to NumPy: Arrays & Operations
45 Minutes
2.2
Chapter 10: Pandas: DataFrames, Data Handling & Cleaning
45 Minutes
2.3
Chapter 11: SQL Basics: Queries, Joins & Data Manipulation
45 Minutes
2.4
Chapter 12: Exploratory Data Analysis (EDA) with Pandas
45 Minutes
2.5
Chapter 13: Hands-on Data Analysis Project
45 Minutes
Module 3: Data Visualization
5
3.1
Chapter 14: Introduction to Data Visualization
45 Minutes
3.2
Chapter 15: Matplotlib: Creating Charts & Graphs
45 Minutes
3.3
Chapter 16: Seaborn: Advanced Visualizations
45 Minutes
3.4
Chapter 17: Plotly: Interactive Graphs & Dashboards
45 Minutes
3.5
Chapter 18: Hands-on Visualization Project
45 Minutes
Module 4: Introduction to Machine Learning
6
4.1
Chapter 19: What is Machine Learning? Basics & Applications
45 Minutes
4.2
Chapter 20: Supervised vs. Unsupervised Learning
45 Minutes
4.3
Chapter 21: Data Preprocessing & Feature Engineering
45 Minutes
4.4
Chapter 22: Model Evaluation Metrics
45 Minutes
4.5
Chapter 23: Introduction to Regression & Classification
45 Minutes
4.6
Chapter 24: Hands-on Predictive Modeling Project
45 Minutes
Module 5: Final Projects & Career Guidance
6
5.1
Chapter 25: Customer Sales Data Analysis
45 Minutes
5.2
Chapter 26: Sentiment Analysis on Product Reviews
45 Minutes
5.3
Chapter 27: Stock Market Data Visualization
45 Minutes
5.4
Chapter 28: House Price Prediction Using Regression
45 Minutes
5.5
Chapter 29: Final Assessment & Certification
45 Minutes
5.6
Chapter 30: Career Guidance: Freelancing, Jobs & Internships
45 Minutes
Data Science
Curriculum
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