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Statistics: The Backbone of Data Analysis & Data Science

Statistics provides the methods to collect, analyze, and interpret data effectively. It helps uncover patterns, test hypotheses, and make data-driven decisions, forming the foundation for data analysis, machine learning, and predictive modeling.

4.0
|9h 28m
Statistics: The Backbone of Data Analysis & Data Science course

What's Included

24

Lessons

9h 28m

Duration

Certificate

What You'll Master

Skills and outcomes you'll walk away with

1. Introduction to Statistics & Data Science

2. Fundamentals of Mathematics for Statistics

3. Data Collection & Sampling Techniques

4. Descriptive Statistics

5. Data Visualization for Statistics

6. Probability Fundamentals

Course Curriculum

24 lessons • 9h 28m total

1

1. Introduction to Statistics & Data Science

23m
2

2. Fundamentals of Mathematics for Statistics

21m
3

3. Data Collection & Sampling Techniques

26m
4

4. Descriptive Statistics

22m
5

5. Data Visualization for Statistics

23m
6

6. Probability Fundamentals

24m
7

7. Probability Distributions

24m
8

8. Inferential Statistics

25m
9

9. Correlation & Covariance

21m
10

10. Regression Analysis

24m
11

11. Statistical Tests

21m
12

12. Exploratory Data Analysis (EDA)

21m
13

13. Feature Engineering & Statistical Pre-processing

23m
14

14. Bayesian Statistics

22m
15

15. Time Series Statistics

24m
16

16. Multivariate Statistics

24m
17

17. Statistical Machine Learning

26m
18

18. Deep Statistical Concepts

24m
19

19. Statistical Computing Tools

24m
20

20. Real-World Statistical Applications

25m
21

21. Advanced Research Statistics

24m
22

22. Statistical Ethics & Responsible AI

24m
23

23. Capstone Projects & Case Studies

25m
24

24. Interview Preparation & Career Readiness

28m

Certification Path

Certification Exam

30 multiple-choice questions • 70% passing score required

Final Capstone: Multi-Platform Real-Time Collaboration Tool

For this final project, you will build a full-stack application using the Firebase suite. The application must include: 1) Firebase Authentication (Email/Password or Social login), 2) Cloud Firestore for real-time data persistence of a shared resource (like a chat room, project board, or inventory tracker), 3) Firebase Storage for user-generated media, and 4) Firebase Cloud Functions to automate a backend task such as sending a welcome email or resizing an image. You must also deploy your web app using Firebase Hosting and configure Security Rules to ensure data privacy.

Verified Certificate

Earn a verified PDF certificate with unique verification ID upon completion • ₹299

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