Introduction to Data Analysis

Learn how to analyze data using Python and Pandas (IBM Course).

Free Course

Course Curriculum

01

Introduction to Data Analysis

Getting started with data analysis and its importance.

02

IBM Course - Lecture 1

Understanding the content of IBM Data Analysis Certificate.

03

IBM Course - Lecture 2

Continuing the IBM Data Analysis curriculum.

04

IBM Course - Lecture 3

Deep dive into data analysis concepts.

05

IBM Course - Lecture 4 (Database & SQL)

Database, DBMS, SQL & NoSQL essentials.

06

IBM Course - Lecture 5

Advanced data analysis techniques.

07

IBM Course - Lecture 6

Data visualization and reporting.

08

IBM Course - Lecture 7 (How to tell a story)

Communicating data insights effectively.

09

IBM Course - Lecture 8

How to be a great data analyst.

10

Data Analysis - Part 1

Advanced concepts and practical examples.

11

Data Analysis - Part 2

Advanced concepts and practical examples.

12

Data Analysis - Part 3

Advanced concepts and practical examples.

13

Data Analysis - Part 4

Advanced concepts and practical examples.

14

Data Analysis - Part 5

Advanced concepts and practical examples.

15

Data Analysis - Part 6

Advanced concepts and practical examples.

16

Data Analysis - Part 7

Advanced concepts and practical examples.

17

Data Analysis - Part 8

Advanced concepts and practical examples.

18

Data Analysis - Part 9

Advanced concepts and practical examples.

19

Data Analysis - Part 10

Advanced concepts and practical examples.

20

Data Analysis - Part 11

Advanced concepts and practical examples.

21

Data Analysis - Part 12

Advanced concepts and practical examples.

22

Data Analysis - Part 13

Advanced concepts and practical examples.

23

Data Analysis - Part 14

Advanced concepts and practical examples.

24

Data Analysis - Part 15

Advanced concepts and practical examples.

25

Data Analysis - Part 16

Advanced concepts and practical examples.

26

Data Analysis - Part 17

Advanced concepts and practical examples.

27

Data Analysis - Part 18

Advanced concepts and practical examples.

28

Data Analysis - Part 19

Advanced concepts and practical examples.

29

Data Analysis - Part 20

Advanced concepts and practical examples.

30

Data Analysis - Part 21

Advanced concepts and practical examples.

31

Data Analysis - Part 22

Advanced concepts and practical examples.