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Python Objects, Numbers & Booleans, Strings, Container objects, Mutability of objects Concept of Packages/Libraries – Important packages (Pandas, NumPy, SciPy, Scikit-learn, Seaborn, Matplotlib)
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Operators – Arithmetic, Bitwise, Comparison and Assignment Operators
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Conditions
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Loops
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Break and Continue Statement
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Range Functions
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Introduction exploratory data analysis
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Descriptive statistics, Frequency Tables and summarization
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Univariate Analysis (Distribution of data & Graphical Analysis)
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Bivariate Analysis (Cross Tabs, Distributions & Relationships, Graphical Analysis)
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Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc)
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Important Packages for Exploratory Analysis (NumPy Arrays, Matplotlib, seaborn, Pandas and SciPy. stats etc)
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Cleansing Data with Python
Cleansing Data with Python
Data Manipulation steps (Sorting, filtering, duplicates, merging, appending, subsetting, derived variables, sampling, Data type conversions, renaming, formatting etc)
Data Manipulation steps (Sorting, filtering, duplicates, merging, appending, subsetting, derived variables, sampling, Data type conversions, renaming, formatting etc)