About This Course

Welcome to the course Python Essentials With Pandas, Numpy, And Matplotlib For Data Science!

In this course, we will learn the basics of Python data structures and the most important Data Science libraries like NumPy and Pandas with step-by-step examples!

In this course, we will cover:

  • an introduction to Python, its applications and the libraries
  • Anaconda, which is a platform you can use for quick and easy installation of Python and its libraries.
  • Jupyter notebook, which is the IDE that we will use throughout this course for Python coding
  • Python data types like strings, numbers and its operations
  • Data structures in Python like lists, tuples and sets
  • Python dictionaries
  • NumPy library
  • Pandas library and dataframes
  • how to import CSV and JSON file data as a dataframe to do the operations and later convert this dataframe to either CSV and JSON objects 
  • how to concatenate, join and merge two pandas dataframes
  • Matplotlib library to generate graphs and plots
  • histogram to group numbers into ranges

Overall, this course is a perfect starter pack for your long journey ahead with big data and machine learning. 

Who this course is for:

  • Data science enthusiasts who want to begin their career

Our Promise to You

By the end of this course, you will have learned Python essentials for Data Science.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about Python and Data Science.

Course Curriculum

Section 1 - Introduction
Course Introduction And Table of Contents 00:00:00
Course Resources 00:00:00
Introduction To Python, Pandas And Numpy 00:00:00
System And Environment Setup 00:00:00
Section 2 - Python
Python Strings – Part 1 00:00:00
Python Strings – Part 2 00:00:00
Python Numbers And Operators – Part 1 00:00:00
Python Numbers And Operators – Part 2 00:00:00
Python Lists – Part 1 00:00:00
Python Lists – Part 2 00:00:00
Python Lists – Part 3 00:00:00
Python Lists – Part 4 00:00:00
Python Lists – Part 5 00:00:00
Tuples In Python 00:00:00
Sets In Python – Part 1 00:00:00
Sets In Python – Part 2 00:00:00
Python Dictionary – Part 1 00:00:00
Python Dictionary – Part 2 00:00:00
Section 3 - NumPy
NumPy Library Introduction – Part 1 00:00:00
NumPy Library Introduction – Part 2 00:00:00
NumPy Library Introduction – Part 3 00:00:00
NumPy Array Operations And Indexing – Part 1 00:00:00
NumPy Array Operations And Indexing – Part 2 00:00:00
NumPy Multi-Dimensional Arrays – Part 1 00:00:00
NumPy Multi-Dimensional Arrays – Part 2 00:00:00
NumPy Multi-Dimensional Arrays – Part 3 00:00:00
Section 4 - Pandas
Introduction To Pandas Series 00:00:00
Introduction To Pandas Dataframes 00:00:00
Pandas Dataframe Conversion And Drop – Part 1 00:00:00
Pandas Dataframe Conversion And Drop – Part 2 00:00:00
Pandas Dataframe Conversion And Drop – Part 3 00:00:00
Pandas Dataframe Summary And Selection – Part 1 00:00:00
Pandas Dataframe Summary And Selection – Part 2 00:00:00
Pandas Dataframe Summary And Selection – Part 3 00:00:00
Pandas Missing Data Management And Sorting – Part 1 00:00:00
Pandas Missing Data Management And Sorting – Part 2 00:00:00
Pandas Hierarchical-Multi Indexing 00:00:00
Pandas CSV File Read Write – Part 1 00:00:00
Pandas CSV File Read Write – Part 2 00:00:00
Pandas JSON File Read Write Operations 00:00:00
Pandas Concatenation Merging And Joining – Part 1 00:00:00
Pandas Concatenation Merging And Joining – Part 2 00:00:00
Pandas Concatenation Merging And Joining – Part 3 00:00:00
Pandas Stacking And Pivoting – Part 1 00:00:00
Pandas Stacking And Pivoting – Part 2 00:00:00
Pandas Duplicate Data Management 00:00:00
Pandas Mapping 00:00:00
Pandas Groupby 00:00:00
Pandas Aggregation 00:00:00
Pandas Binning Or Bucketing 00:00:00
Pandas Re-Index And Rename – Part 1 00:00:00
Pandas Re-Index And Rename – Part 2 00:00:00
Pandas Replace Values 00:00:00
Pandas Dataframe Metrics 00:00:00
Pandas Random Permutation 00:00:00
Pandas Excel Sheet Import 00:00:00
Pandas Condition Selection And Lambda Function – Part 1 00:00:00
Pandas Condition Selection And Lambda Function – Part 2 00:00:00
Pandas Ranks Min Max 00:00:00
Pandas Cross Tabulation 00:00:00
Section 5 - Matplotlib
Graphs And Plots Using Matplotlib – Part 1 00:00:00
Graphs And Plots Using Matplotlib – Part 2 00:00:00
Matplotlib Histograms 00:00:00
Template Design © VibeThemes. All rights reserved.

Setup Menus in Admin Panel