Module 1: Introduction to Data Science

• Understanding the Data Science Lifecycle
• Role of Data Scientists in Industry
• Overview of Python in Data Science

Module 2: Python Basics for Data Science

• Python Installation and Setup
• Variables, Data Types, and Operations
• Control Structures: Loops and Conditionals

Module 3: Data Manipulation with Pandas

• Introduction to Pandas Library
• Data Loading and Exploration
• Data Cleaning and Preprocessing

Module 4: Data Visualization with Matplotlib and Seaborn

• Creating Basic Plots with Matplotlib
• Advanced Visualizations with Seaborn
• Customizing and Presenting Plots

Module 5: Statistical Analysis with Python

• Descriptive Statistics using NumPy
• Probability Distributions
• Hypothesis Testing and Statistical Inference

Module 6: Machine Learning Basics

• Overview of Machine Learning
• Supervised and Unsupervised Learning
• Model Training and Evaluation

Module 7: Building Predictive Models

• Model Selection and Evaluation Metrics
• Regression Analysis
• Classification Algorithms

Module 8: Natural Language Processing (NLP)

• Introduction to NLP
• Text Preprocessing Techniques
• Sentiment Analysis and Text Classification

Module 9: Deep Learning Foundations

• Basics of Neural Networks
• Deep Learning Frameworks: TensorFlow or PyTorch
• Image Recognition and Classification

Module 10: Time Series Analysis

• Handling Time Series Data
• Time Series Forecasting Techniques
• Analyzing Trends and Seasonal Patterns

Module 11: Big Data Analytics with Python

• Overview of Big Data Concepts
• Processing Large Datasets with Spark or Dask
• Distributed Computing with Python

Module 12: Capstone Project

• Solving a Real-World Data Science Problem
• Project Planning and Execution
• Presentation of Findings

Module 13: Ethical Considerations in Data Science

• Privacy and Security in Data Science
• Addressing Bias and Fairness
• Responsible Data Collection Practices

Module 14: Career Paths and Further Learning

• Exploring Career Opportunities in Data Science
• Professional Development and Networking
• Resources for Continuous Learning