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MODULE 1: Python Programming and Data Basics

Unlocking the Power of Python and MySQL for Data Manipulation

•   Master Python fundamentals and syntax.
•   Learn MySQL for efficient database operations.
•   Acquire essential skills in data extraction and preprocessing.
•   Understand CRUD (Create, Read, Update, Delete) operations in SQL.
•   Apply Python and MySQL together for streamlined data handling and manipulation.

MODULE 2: Data Visualization

Crafting Compelling Narratives with Data: The Art of Visualization

•   Understand the importance of data visualization in analysis.
•   Create static visualizations using Matplotlib and Seaborn.
•   Explore dynamic, interactive dashboards with Power BI.
•   Conduct an exploratory data analysis (EDA) project to extract insights.

MODULE 3: Machine Learning

From Data to Decisions: A Journey into Machine Learning

•   Grasp core machine learning concepts, types, and methodologies.
•   Implement various algorithms using Scikit-Learn.
•   Optimize models through feature engineering and feature selection techniques.
•   Explore neural networks and deep learning using TensorFlow and Keras.
•   Build and fine-tune predictive models using machine learning best practices.

MODULE 4: Advanced Topics and Real-World Applications in Data Science

Mastering Complexity: Advanced Techniques and Practical Applications

•   Dive deep into time series analysis and forecasting techniques.
•   Explore Natural Language Processing (NLP) for text analysis and applications.
•   Engage in advanced data analysis and machine learning projects using real-world datasets.