Section 1 : Introduction

lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
lecture 2 About Certification Pdf
lecture 3 About Proctor Testing Pdf

Section 2 : Installation

lecture 4 Anaconda Installation 1:28
lecture 5 Jupyter Notebooks 2:39

Section 3 : Why Python

lecture 6 Features of Python
lecture 7 Multi-paradigm 1:22
lecture 8 Open Source
lecture 9 Diversified 1:1
lecture 10 Interpretation 1:22
lecture 11 Easy and Simple 0:45
lecture 12 Dynamic Typing 1:33
lecture 13 Large Standard Library 1:0

Section 4 : Python Hands-on

lecture 14 Numbers 4:17
lecture 15 Variables
lecture 16 Operators 4:24
lecture 17 Dynamic Typing in Python 1:21
lecture 18 Strings in Python 4:49
lecture 19 String Operations 5:37
lecture 20 String Methods 3:7
lecture 21 Immutability 3:16
lecture 22 String Formatting 6:22
lecture 23 Lists 5:9
lecture 24 List Methods 4:34
lecture 25 Tuples 3:43
lecture 26 Dictionaries 4:25
lecture 27 Dictionary Methods 3:2
lecture 28 Sets and Booleans 3:46
lecture 29 Statements 5:22
lecture 30 For Loop 3:10
lecture 31 While Loop 3:51
lecture 32 Functions 4:17
lecture 33 Decorators 2:20
lecture 34 Generators 3:5
lecture 35 Objects and Classes 5:18
lecture 36 Attributes 5:16
lecture 37 Methods 10:41
lecture 38 Inheritance 7:12
lecture 39 Polymorphism 5:36

Section 5 : Data Analytics with NumPy

lecture 40 Intro to NumPy 2:43
lecture 41 NumPy Arrays 6:35
lecture 42 NumPy Data Types 7:25
lecture 43 NumPy Array Attributes 8:13
lecture 44 Maths with NumPy 5:49

Section 6 : Data Analytics with Pandas

lecture 45 Intro to Pandas 3:8
lecture 46 Reading data in Pandas 6:4
lecture 47 Pandas Data Manipulation-1 6:11
lecture 48 Pandas Data Manipulation-2 4:48
lecture 49 Pandas Data Manipulation-3 8:4

Section 7 : Data Analytics and Visualization with Matplotlib

lecture 50 Intro to Matplotlib
lecture 51 Plotting Arrays 8:8
lecture 52 Plot Styling 5:42
lecture 53 Customizing plots 4:29
lecture 54 Variants of Graphs