Course curriculum

  • 1

    Let's get started here..!

    • Student Guide Book

    • Know About Your Trainer

    • Jupyter Note Book Installation Guide

    • DATA SCIENCE THE BIG FUTURE: INTRODUCTION AND SCOPE
  • 2

    CHAPTER:Module 1

    • Data Science Live Session 1
  • 3

    CHAPTER:Module 2

    • Data Science Live Session 2
  • 4

    CHAPTER:Module 3

    • Data Science Session 3
  • 5

    CHAPTER:Module 4

    • Data Science Session 4
  • 6

    CHAPTER:Module 5

    • Data Science Session 5
  • 7

    CHAPTER:Module 6

    • Data Science Session 6
  • 8

    IMPORTANT:Material_DS

    • Assignment 1: Python Basics

    • Data Structure in Python

    • Control Flow and Loops in Python

    • Assignment 2: Practice and FAQ's

    • Practice Statistics Question

    • Statistics
  • 9

    CHAPTER:Module 7

    • Data Science Session 7
  • 10

    CHAPTER:Module 8

    • Data Science Session 8
  • 11

    CHAPTER:Module 9

    • Data Science Session 9
  • 12

    CHAPTER:Module 10

    • Data Science Session 10
  • 13

    CHAPTER:Module 11

    • Data Science Session 11
  • 14

    CHAPTER:Module 12

    • Data Science Session 12
  • 15

    CHAPTER:Module 13

    • Data Science Session 13
  • 16

    CHAPTER:Module 14

    • Data Science Session 14
  • 17

    CHAPTER:Module 15

    • Data Science Session 15
  • 18

    CHAPTER:Important Reading Material

    • Statistics

    • NUMPY

    • PANDAS
  • 19

    CHAPTER :Reference Material

    • EDA Dataset

    • DataPerts - MATPLOTLIB

    • DataPerts - SEABORN

    • DataPerts - EDA

    • Session 1 - Types of Data, Measures of Central & Dispersion_stats

    • Session 2 - Skewness, Kurtosis, Descriptive Stats
  • 20

    CHAPTER:Module 16

    • Data Science Session 16
  • 21

    CHAPTER Project

    • Titanic.csv

    • Problem Statement

    • Project Submission Link
  • 22

    CHAPTER:Module 17

    • Data Science Session 17
  • 23

    CHAPTER:Module 18

    • Data Science Session 18