Course Content
Lesson
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Introduction to Programming
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Different IDE Exploration Jupyter Notebook Exploration Chapter 1
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Strings
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Task Review
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Python Programming Chapter 3,4,5
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Python Programming Chapter 4,5
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Python Data Structure Python Libraries Exploration Reading files from different directories
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Panda Chapters 1,2,3,4
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Panda Chapters 5,6,7,8
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Python Data Structure Python Libraries Exploration Reading files from different directories
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Numpy
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Business Presentation
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OOPs
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OOPs – 2
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Pandas Data Cleaning In Class Assistance
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Statistics – MCT – MD – ND – Skewness Kurtosis
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Random Variables
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Probabilities Theory Inferential Stats – Confidence Interval
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Day 19
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Day 19
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Day 19
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Day 19
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Day 19
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Day 21
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Day 22
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