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Why Should You enroll?
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Resources for the Course
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Day-1
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Day-2
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Day-3
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Day-4
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Day-5
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Day-6
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Day-7
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Day-8
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Day-9
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Day-10
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Day-11
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Day-12
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Day-13
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Day-15
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Day-16 (No lectures- Take Rest/Revise and enjoy the day)
Day-17
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Day-18
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Day-19
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Day-20
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Day-21 (Automatics EDA-1)
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Day-22 (Automatic EDA-2)
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Day-23 (Automatic EDA-3)
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Day-24 (AI-News and Automatic EDA)
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Day-25 (Pandas-1)
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Day-26 (Pandas-2)
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Day-27 (Pandas-3)
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Day-29
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Day-30 (Take a break and revise your previous lessons)
Day-31: Statistics for Data Science-(Part-1)
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Day-32: Statistics for Data Science-(Part-2)
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Day-33: Statistics for Data Science-(Part-3)
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Day-34: Statistics for Data Science- (Part-4)
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Day-35: Statistics for Data Science- (Part-5)
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Day-36: Mathematics for Data Science and Machine Learning
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Day-37, 38, 39, 40: NumPy for Data Science
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Day-41: Data Visualization (Part-1)
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Complete Projects A-Z
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