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Course: Python for Data Science, Data Analysis & Visualization: 2019

Python for Data Science, Data Analysis & Visualization: 2019

  • Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App
About this Course

Hello Python Programmer,

In this course you will learn,

  • All core concepts of Python
  • Python for Data Analysis and Visualization

It is the Most Comprehensive and Straight-Forward Python Course to build foundation for Data Science !

Master Python 3 for Data Science, Data Analysis and Visualization

List of some Topics that we will cover,

1) NumPy :

  • NumPy array, Indexing and Selection, NumPy Operations

2) Pandas :

  • DataFrames, Series, Matrix, Working on missing data, Reading and Writing files

3) Matplotlib:

  • Data Visualization, Plotting different graphs

4) Data Types

5) If-else statement, For loop and While loop

6) Functions and Methods

7) Object Oriented Programming

Learn Python to advance your Career and increase your knowledge in a fun and practical way !!!

Regards,

Vijay Gadhave

Basic knowledge
  • No Prior Knowledge or Experience Needed, Only a passion to learn!
What you will learn
  • Python for Data Science and Machine Learning
  • Complete Understanding of Python from Scratch
  • NumPy for Numerical Data
  • NumPy Array, NumPy Operations
  • Pandas for Data Analysis
  • DataFrames, Pandas Series, Pandas Matrix
  • Working on Missing Data, Reading and Writing Files
  • Matplotlib for Data Visualization
  • Plotting different Graphs
  • How to Code in Spyder IDE
  • Data Types in Python 3
  • If-else statement, For loop and While loop
  • Functions and Methods
  • Master Object Oriented Programming (OOP) in Python 3
Curriculum
Number of Lectures: 52
Total Duration: 06:36:35
Welcome to the Course !
  • Introduction  
Installation and Setup
  • Installation and Setup  
Python Basics
  • Basics  
  • Variables  
Data Types in Python
  • Data Types Introduction  
  • Numbers  
  • Strings Part 1  
  • Strings Part 2  
  • Strings Part 3  
  • Strings Part 4  
  • Lists  
  • Dictionaries  
  • Tuples  
  • Sets  
  • Booleans  
Python Statements
  • If, Elif and Else  
  • For loop  
  • While Loop  
  • Useful functions in Python  
Functions and Lambda Expressions in Python
  • Functions Part 1  
  • Functions Part 2  
  • Map, Filter and Lambda Expression  
  • Scope of Variables in Python  
Object Oriented Programming (OOP)
  • Introduction of Object Oriented Programming  
  • Class and Attributes  
  • Methods  
  • Inheritance  
NumPy : Data Analysis
  • Introduction to NumPy  
  • NumPy Arrays  
  • NumPy Arrays : Indexing and Selection  
  • NumPy Operations  
Pandas : Data Analysis
  • Introduction of Pandas  
  • Pandas Series  
  • DataFrames Part 1  
  • DataFrames Part 2  
  • DataFrames Part 3  
  • Working with Missing Data  
  • Groupby Method  
  • Merging, Joining and Concatenating DataFrames  
  • Pandas Operations  
  • Reading and Writing Files  
Matplotlib : Data Visualization
  • Matplotlib Introduction  
  • Matplotlib Part 1  
  • Matplotlib Part 2  
  • Matplotlib Part 3  
  • Matplotlib Part 4  
  • Matplotlib Part 5  
  • Matplotlib Part 6  
  • Matplotlib Part 7  
  • Matplotlib Part 8  
  • Matplotlib Part 9  
  • Matplotlib Part 10  
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