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Python Data Science

Learning Outcome Learn about the fundamentals of Python Data Science. Know about system and environment setup. Understand Python numbers and …

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i Last Updated: 31st October 2022
◎ English
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Course Curriculum

Course Introduction and Table of Contents
Course Introduction and Table of Contents 00:09:00
Introduction to Python, Pandas and Numpy
Introduction to Python, Pandas and Numpy 00:07:00
System and Environment Setup
System and Environment Setup 00:08:00
Python Strings
Python Strings – Part 1 00:11:00
Python Strings – Part 2 00:09:00
Python Numbers and Operators
Python Numbers and Operators – Part 1 00:06:00
Python Numbers and Operators – Part 2 00:07:00
Python Lists
Python Lists – Part 1 00:05:00
Python Lists – Part 2 00:06:00
Python Lists – Part 3 00:05:00
Python Lists – Part 4 00:07:00
Python Lists – Part 5 00:07:00
Tuples in Python
Tuples in Python 00:06:00
Sets in Python
Sets in Python – Part 1 00:05:00
Sets in Python – Part 2 00:04:00
Python Dictionary
Python Dictionary – Part 1 00:07:00
Python Dictionary – Part 2 00:07:00
NumPy Library - Introduction
NumPy Library Intro – Part 1 00:05:00
NumPy Library Intro – Part 2 00:05:00
NumPy Library Intro – Part 3 00:06:00
NumPy Array Operations and Indexing
NumPy Array Operations and Indexing – Part 1 00:04:00
NumPy Array Operations and Indexing – Part 2 00:06:00
NumPy Multi-Dimensional Arrays
NumPy Multi-Dimensional Arrays – Part 1 00:07:00
NumPy Multi-Dimensional Arrays – Part 2 00:06:00
NumPy Multi-Dimensional Arrays – Part 3 00:05:00
Introduction to Pandas Series
Introduction to Pandas Series 00:08:00
Introduction to Pandas Dataframes
Introduction to Pandas Dataframes 00:07:00
Pandas Dataframe conversion and drop
Pandas Dataframe conversion and drop – Part 1 00:06:00
Pandas Dataframe conversion and drop – Part 2 00:06:00
Pandas Dataframe conversion and drop – Part 3 00:07:00
Pandas Dataframe summary and selection
Pandas Dataframe summary and selection – Part 1 00:06:00
Pandas Dataframe summary and selection – Part 2 00:06:00
Pandas Dataframe summary and selection – Part 3 00:07:00
Pandas Missing Data Management and Sorting
Pandas Missing Data Management and Sorting – Part 1 00:07:00
Pandas Missing Data Management and Sorting – Part 2 00:07:00
Pandas Hierarchical-Multi Indexing
Pandas Hierarchical-Multi Indexing 00:06:00
Pandas CSV File Read Write
Pandas CSV File Read Write – Part 1 00:05:00
Pandas CSV File Read Write – Part 2 00:07:00
Pandas JSON File Read Write
Pandas JSON File Read Write Operations 00:07:00
Pandas Concatenation Merging and Joining
Pandas Concatenation Merging and Joining – Part 1 00:05:00
Pandas Concatenation Merging and Joining – Part 2 00:04:00
Pandas Concatenation Merging and Joining – Part 3 00:04:00
Pandas Stacking and Pivoting
Pandas Stacking and Pivoting – Part 1 00:06:00
Pandas Stacking and Pivoting – Part 2 00:05:00
Pandas Duplicate Data Management
Pandas Duplicate Data Management 00:07:00
Pandas Mapping
Pandas Mapping 00:04:00
Pandas Grouping
Pandas Groupby 00:06:00
Pandas Aggregation
Pandas Aggregation 00:09:00
Pandas Binning or Bucketing
Pandas Binning or Bucketing 00:08:00
Pandas Re-index and Rename
Pandas Re-index and Rename – Part 1 00:04:00
Pandas Re-index and Rename – Part 2 00:05:00
Pandas Replace Values
Pandas Replace Values 00:05:00
Pandas Dataframe Metrics
Pandas Dataframe Metrics 00:07:00
Pandas Random Permutation
Pandas Random Permutation 00:08:00
Pandas Excel sheet Import
Pandas Excel sheet Import 00:07:00
Pandas Condition Selection and Lambda Function
Pandas Condition Selection and Lambda Function – Part 1 00:05:00
Pandas Condition Selection and Lambda Function – Part 2 00:05:00
Pandas Ranks Min Max
Pandas Ranks Min Max 00:06:00
Pandas Cross Tabulation
Pandas Cross Tabulation 00:07:00
Matplotlib Graphs and plots
Graphs and plots using Matplotlib – Part 1 00:06:00
Graphs and plots using Matplotlib – Part 2 00:02:00
Matplotlib Histograms
Matplotlib Histograms 00:03:00

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