Learn Python for Data Science
What you will learn
Data Analytics
Python Programming
Data Manipulation with Pandas
Data Visualization with MatPlotlib
NumPy
Python for Data Science
Description
Data Analytics is the trending technology in the present days. If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you.
It covers the following:
- Data Analytics
- Numpy Mathematical Operations
- Pandas Data Manipulation
- Data Visualization with Matplotlib
- Python programming
Pre-Requisites:
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- No Pre-Requisites are required
Target Audience:
- Any one who is passionate about Data Analytics
Resources:
- Code workbooks for Data Analytics part is provided
English
language
Content
Introduction
Introduction
About the Instructor
Installation
Anaconda Installation
Jupyter Notebooks
Why Python?
Features of Python
Multi-paradigm
Open Source
Diversified
Interpretation
Easy and Simple
Dynamic Typing
Large Standard Library
Python Hands-on
Numbers
Variables
Operators
Dynamic Typing in Python
Strings in Python
String Operations
String Methods
Immutability
String Formatting
Lists
List Methods
Tuples
Dictionaries
Dictionary Methods
Sets and Booleans
Statements
For Loop
While Loop
Functions
Decorators
Generators
Objects and Classes
Attributes
Methods
Inheritance
Polymorphism
Data Analytics with NumPy
Intro to NumPy
NumPy Arrays
NumPy Data Types
NumPy Array Attributes
Maths with NumPy
Data Analytics with Pandas
Intro to Pandas
Reading data in Pandas
Pandas Data Manipulation-1
Pandas Data Manipulation-2
Pandas Data Manipulation-3
Data Analytics and Visualization with Matplotlib
Intro to Matplotlib
Plotting Arrays
Plot Styling
Customizing plots
Variants of Graphs