Data Science Essentials

Level: Beginner
 50% OFF 
Pre-requisites for the course : None
This course teaches everything from scratch. No coding background required. You only require a working laptop and a good internet connection.
Date: New batch will start soon
Only 30 Students Per Batch
Syllabus

1. Introduction to data science

  • What is data science

  • What are companies looking for

  • How it helps businesses to make right the decisions

  • What tools are used

  • Installing Python and Jupyter with Anaconda

2. Python fundamentals - I 

  • Importing libraries

  • Variables and data types

  • Lists

  • Dictionary

3. Python Fundamentals - II 

  • Conditional statements

  • Functions

  • Loops

4. Pandas and Numpy fundamentals 

  • Why pandas and numpy

  • Importing Pandas and Numpy

  • Exploring data with pandas

  • Boolean indexing

5. Statistics and Probability

  • Descriptive statistics

  • Probability concepts

  • Random variables

  • Probability distribution functions

  • Central Limit Theorem (CLT)

6. Linear Algebra

  • Linear combinations

  • Vectors and Matrices

  • Matrix Decomposition

  • Eigen Vectors and Eigen Values

 

7. Data Cleaning and Analysis

  • Missing values

  • Duplicate data 

  • Working with strings

  • Grouping and combining

8. Data visualization in Python - I

  • Matplotlib basics

  • Line charts

  • Bar plots

  • Scatter Plots

  • Histogram and box plots

9. Data visualization in Python - II

  • Seaborn Basics

  • Line plots

  • Bar plots

  • Scatter plots

  • Histogram and box plots

10. Project

  • Problem Statement

  • Exploratory Data Analysis

  • Data Cleaning

  • Data Visualization

  • Insights and Conclusion

$1599

$799