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Module 1: Introduction to Data Science and Machine Learning (Duration:10 hr)
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Module 2 – Python Programming and Data Manipulation (Duration:50 hr)
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Orientation
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Environment setup | Python Basics
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Data types and Variable assignments
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Conditional Statements and Loops
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Functions, Modules and Packages
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Mini Project Building (Practical)
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File Handling | Regular Expression
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Data manipulation with NumPy and pandas
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Object Oriented Programming
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Major Project Building (Practical)
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Orientation
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Module 3 – Introduction to SQL (Duration:30 hr)
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Module 4 - Data Visualization and Exploratory Data Analysis (Duration:30 hr)
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Module 5: Machine Learning Basics (Duration:20 hr)
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Module 6: Advanced Machine Learning Techniques (Duration:30 hr)
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Module 7: Introduction to Neural Networks and Deep Learning (Duration:30 hr)
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Module 8: Natural Language Processing (NLP) (Duration:20 hr)
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Module 9: Time Series Analysis and Forecasting (Duration:20 hr)
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Module 10: Capstone Project (Duration:30 hr)
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Module 11: Data Ethics and Privacy (Duration:20 hr)
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Module 12: Tools and Deployment (Duration:30 hr)
Introduction to cloud platforms (AWS, GCP, Azure)
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