DataCamp

Jun 2024 - Now

Ongoing Tracks
1

Associate Data Scientist in Python

90 Hours | 23 Courses

Completed Tracks
1

Associate Data Analyst in SQL

39 Hours | 11 Courses

2

Data Literacy Professional

15 Hours | 8 Courses

3

Associate Data Engineer in SQL

30 Hours | 9 Courses

4

SQL Fundamentals

26 Hours | 7 Courses

5

Python Data Fundamentals

28 Hours | 7 Courses

Completed Courses
1

Introduction to SQL

2 Hours

2

Intermediate SQL

4 Hours

3

Joining Data in SQL

4 Hours

4

Data Manipulation in SQL

4 Hours

5

PostgreSQL Summary Stats and Window Functions

4 Hours

6

Functions for Manipulating Data in PostgreSQL

4 Hours

7

Introduction to Statistics

4 Hours

8

Exploratory Data Analysis in SQL

4 Hours

9

Data-Driven Decision Making in SQL

4 Hours

10

Understanding Data Visualization

2 Hours

11

Data Communication Concepts

3 Hours

12

Understanding Data Engineering

2 Hours

13

Introduction to Data

2 Hours

14

Communicating Data Insights

2 Hours

15

Introduction to Data Literacy

2 Hours

16

Introduction to Data Culture

1 Hour

17

Forming Analytical Questions

1 Hour

18

Data Storytelling Concepts

2 Hours

19

Data Literacy Case Study: Remote Working Analysis

1 Hour

20

Introduction to Relational Databases in SQL

4 Hours

21

Database Design

4 Hours

22

Data Warehousing Concepts

4 Hours

23

Introduction to Snowflake

3 Hours

24

Introduction to Python

4 Hours

25

Intermediate Python

4 Hours

26

Data Manipulation with pandas

4 Hours

27

Joining Data with pandas

4 Hours

28

Introduction to Statistics in Python

4 Hours

29

Introduction to Data Visualisation with Matplotlib

4 Hours

30

Introduction to Data Visualisation with Seaborn

4 Hours

31

Introduction to Functions in Python

3 Hours

32

Python Toolbox

4 Hours

33

Exploratory Data Analysis in Python

4 Hours

34

Working with Categorical Data in Python

4 Hours

35

Introduction to Importing Data in Python

3 Hours

36

Cleaning Data in Python

4 Hours

37

Working with Dates and Times in Python

4 Hours

38

Writing Functions in Python

4 Hours

39

Introduction to Regression with statsmodels in Python

4 Hours

40

Sampling in Python

4 Hours

41

Hypothesis Testing in Python

4 Hours

42

Experimental Design in Python

4 Hours

43

Supervised Learning with scikit-learn

4 Hours