Learn the complete data science workflow from collecting and cleaning data to analyzing trends and building predictive models. This beginner-friendly course introduces Python, data visualization, statistical thinking, and machine learning through practical projects that mirror real-world business and research scenarios.
Topics of Course
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Introduction to Python
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Working with Data Structures
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Introduction to Pandas
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Python Fundamentals
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Pandas & Data Structures
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Handling Missing Data
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Data Visualization Fundamentals
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Using Matplotlib and Seaborn
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Data Cleaning
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Visualization Assessment
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What Is Machine Learning?
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Supervised vs Unsupervised Learning
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Building Your First Model
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Machine Learning Basics
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Model Building Assessment
