Python for Data Science and Data Analysis Masterclass: 2020
4.1 (400 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
36,297 students enrolled

Python for Data Science and Data Analysis Masterclass: 2020

Learn Python for Data Science, Machine Learning, Deep Learning & Data Analysis, Hand's on NumPy, Pandas and Matplotlib !
4.1 (400 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
36,297 students enrolled
Created by Vijay Gadhave
Last updated 7/2020
English
English [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
23 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 6.5 hours on-demand video
  • 3 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Python for Data Science and Data Analysis
  • 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
  • Seaborn for statistical visualization
  • Plotly for Collaborative, web-based graphing and analytics
  • Data Visualization with Pandas
Course content
Expand all 51 lectures 06:41:37
+ Python Crash Course Part 1: Data Types
11 lectures 01:09:12
Strings Part 1 - Basics
05:00
Strings Part 2 - Indexing and Slicing
09:13
Strings Part 3 - Properties and Methods
05:36
Strings Part 4 - String Formatting
09:02
Lists
12:18
Dictionaries
08:54
Tuples
07:07
Sets
03:48
Booleans
02:14
+ Python Crash Course Part 2: Python Statements
4 lectures 54:18
For loop
18:51
While Loop
10:56
Useful functions in Python
17:31
+ Python Crash Course Part 3: Functions
4 lectures 45:10
Functions Part 2
10:25
*args and **kwargs
11:42
Map, Filter and Lambda Expression
13:17
+ Data Analysis with Numpy
7 lectures 40:47
Numpy Arrays Part 2
10:47
Numpy Arrays Part 3
05:33
Numpy Indexing and Selection Part 1
09:09
Numpy Indexing and Selection Part 2
05:20
Numpy Operations
05:16
+ Data Analysis with pandas
10 lectures 01:34:21
DataFrames Part 1
13:34
DataFrames Part 2
10:04
DataFrames Part 3
10:57
Missing Data
08:17
Groupby Method
10:27
Merging, Joining and Concatenating DataFrames
09:52
Pandas Operations
08:21
Reading and Writing Files in Pandas
08:40
+ Data Visualization with matplotlib
6 lectures 57:35
Matplotlib Part 1 - Object Oriented Method
08:25
Matplotlib Part 2 - Subplots Method
06:52
Matplotlib Part 2 - Figure size, Aspect ratio and DPI
09:41
Matplotlib Part 3
07:04
Matplotlib Part 4
12:26
Requirements
  • No Prior Knowledge or Experience Needed, Only a Passion to Learn !
Description

Hello Data Scientist,

Welcome to this course, on Python Programming !


In this course we will learn,

1) Complete understanding of Python from Scratch

2) Python for Data Science, Data Analysis and Visualization

It is the Most Comprehensive and Straight-Forward Course to build a solid foundation for Data Science and Data Analysis


List of the Topics that you will learn,

1) Python Crash Course:

Part 1: Data Types

Part 2: Python Statements

Part 3: Functions

Part 4: Object Oriented Programming (OOP)

2) Data Analysis with numPy :

NumPy array, Indexing and Selection, NumPy Operations

3) Data Analysis with pandas :

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

4) Data Visualization with matplotlib :

Amazing visualization library in Python for 2D plots of arrays


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


Regards,

Vijay Gadhave

Who this course is for:
  • Beginners who have Never Programmed in Python Before
  • Data Science, Machine Learning Aspirants who want to start with Python