Learn Data Analysis From Scratch 2022

In this course you will learn about Data Analysis in a step by step manner. This course is divided into 4 parts. Following are the course Structure

LEARN DATA ANALYSIS FROM SCRATCH

Part I : Tools For Data Analysis

Python Refresher

01 Course Pre–Requisite

Learn Coding From Scratch With Python3

02 Ipython Interpreter

03 Jupyter Notebook

Running Jupyter Notebook

Object introspection

%Run Command

%load Command

Executing Code from Clipboard

Shortcut of Jupyter Notebook

Magic Command

Matplotlib Integration

04 Python Refresher – Basic DataTypes

05 Python Refresher – Collection Types – Lists

06 Python Refresher – Collection Types – Dictionaries

07 Python Refresher – Collection Types – Sets

08 Python Refresher – Collection Types – Tuples

09 Python Refresher – Functions

10 Python Refresher – Classes And Objects

Numpy Core Concept For Data Analysis

Step 1 : Concept : Numpy Introduction

What is Numpy?

Why Use Numpy?

Step 2 : Concept : Arrays Revisited

Types Of Arrays

Step 3 : Lab : Ways to Create Arrays

1. Create Arrays Using Python List

2. Using Numpy’s Methods

Step 4 : Concept + Lab : Numpy Array Internals

Dimensions

Shape

Strides

Step 5 : Concept + Lab : Data Types and Casting

Step 6 : Concept + Lab : Slicing And Indexing