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:

  • 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


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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