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career track

Data Engineer

In this track, you’ll discover everything you need to know to become a data engineer by learning Python, SQL, and Git from scratch. You'll discover how to interact with relational databases to query, input, and modify data and get hands-on experience in importing and cleaning data in Python, optimizing your code for efficiency, and writing tests to validate your code. Throughout this track, you’ll learn some of the essential data engineering tools, starting with SQL and Python, before moving on to topics such as cloud computing, clearing data, and working with Git. These foundational skills will allow you to work with data in various ways, building the knowledge you need to become a data engineer.   You'll also learn the key concepts and skills required by data engineers such as how to interpret data visualizations, create functions, and utilize version control.  By the end of this track, you'll be equipped with the necessary tools and knowledge to progress your career by handling common data engineering duties.

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Loved by learners at thousands of companies

1
Theory
Understanding Data Engineering

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

2 hours

Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

2
SQL
Introduction to SQL

Learn how to create and query relational databases using SQL in just two hours.

2 hours

Izzy Weber Headshot

Izzy Weber

Data Coach at iO-Sphere

3
SQL
Intermediate SQL

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

4 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

4
SQL
Joining Data in SQL

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

4 hours

Maham Khan Headshot

Maham Khan

Senior Data Science Content Developer at DataCamp

5
SQL
Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

4 hours

Timo Grossenbacher Headshot

Timo Grossenbacher

Head of Newsroom Automation at Tamedia

6
SQL
Database Design

Learn to design databases in SQL.

4 hours

Lis Sulmont Headshot

Lis Sulmont

Content Program Manager at Duolingo

7
Python
Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

8
Python
Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

9
Python
Introduction to Importing Data in Python

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

10
Python
Intermediate Importing Data in Python

Improve your Python data importing skills and learn to work with web and API data.

2 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

11
Theory
Understanding Cloud Computing

A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.

2 hours

Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

12
Python
Cleaning Data in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hours

Adel Nehme Headshot

Adel Nehme

Content Developer @ DataCamp

13
Python
Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours

Logan Thomas Headshot

Logan Thomas

Scientific Software Technical Trainer, Enthought

14
Python
Streamlined Data Ingestion with pandas

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

4 hours

Amany Mahfouz Headshot

Amany Mahfouz

Data scientist via spatial analytics and geography.

15
Python
Designing a Bank Marketing Database

Use your data cleaning and database design skills to author a script that sets up tables in a PostgreSQL database for bank marketing campaigns!

2 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

16
Theory
Understanding Data Visualization

An introduction to data visualization with no coding involved.

2 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

17
Git
Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

18
Python
Software Engineering for Data Scientists in Python

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hours

Adam Spannbauer Headshot

Adam Spannbauer

Machine Learning Engineer at Eastman

Instructors

  • Hadrien Lacroix Headshot
    Hadrien LacroixCurriculum Manager at DataCampSee Profile
  • Izzy Weber Headshot
    Izzy WeberData Coach at iO-SphereSee Profile
  • Jasmin Ludolf Headshot
    Jasmin LudolfData Science Content Developer, DataCampSee Profile
  • Maham Khan Headshot
    Maham KhanSenior Data Science Content Developer at DataCampSee Profile