Course curriculum
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1
Introduction : Python for Data Science
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Introduction : Python for Data Science
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Introduction to Data Science with Python -Getting Started with Numpy
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2
Section-A Getting started wIth Numpy
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Chapter 1 ) Numpy Built in Functions -Arrray , Arange , Linspace , Zeros,Ones and Eye
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Chapter 2: Methods of Random Numbers in Numpy
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Chapter-3 Numpy Indexing and Selection Methods
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Chapter-4 Universal Functions in Numpy
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3
Section-B Getting Started with Pandas
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Introduction to Pandas in Python
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Create Data Frame (data , index , column name) (df=pd.DataFrame)
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Conditional Selection
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Missing Data and Groupby
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Data Frames - Concatenation and Merge
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Input Operations on Excel , CSV and HTML Files
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Pandas Exercise on Kaggle Dataset SF Salaries
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4
Section-c Matplotlib