Learn the fundamentals of Python programming language.

• Introduction to Python - Duration: 1 hour
• Control Flow Statements - Duration: 1.5 hours
• Functions and Modules - Duration: 2 hours
• Error Handling - Duration: 1.5 hours
• File Handling - Duration: 2 hours
• Object-Oriented Programming (OOP) - Duration: 3 hours
• Regular Expressions - Duration: 2.5 hours
• Python Standard Library - Duration: 2 hours
• Python Best Practices - Duration: 2.5 hours

Master data manipulation techniques using Python libraries like NumPy and Pandas.

• NumPy Basics - Duration: 2 hours
• Data Analysis with Pandas - Duration: 3 hours
• Data Visualization with Matplotlib - Duration: 3.5 hours
• Data Cleaning - Duration: 2 hours
• Data Wrangling - Duration: 2.5 hours
• Working with Time Series Data - Duration: 3 hours
• Handling Missing Data - Duration: 2 hours
• Exploratory Data Analysis (EDA) - Duration: 3 hours
• Data Preprocessing - Duration: 2.5 hours
• Data Aggregation and Grouping - Duration: 2.5 hours

Learn machine learning algorithms and techniques using Python libraries like Scikit-learn.

• Introduction to Machine Learning - Duration: 3 hours
• Supervised Learning - Duration: 4 hours
• Unsupervised Learning - Duration: 4 hours
• Model Evaluation and Selection - Duration: 3.5 hours
• Feature Engineering - Duration: 3 hours
• Model Deployment - Duration: 2 hours
• Hyperparameter Tuning - Duration: 3 hours
• Ensemble Learning - Duration: 3.5 hours
• Deep Learning Fundamentals - Duration: 4 hours
• Natural Language Processing (NLP) - Duration: 3.5 hours