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  1. Home
  2. Learning Paths

Free Data Engineer Learning Path

Description

Data engineers create data pipelines that take raw data and transform it into a format that is clean, consistent, and actionable by analysts and data scientists. They play a critical role in maintaining the data assets of an organization and helping to put data models into production.

The DataKwery Data Engineer learning path will provide you with the foundational knowledge and skills to enter or advance in a data engineer role…all at no cost!

Data Engineer Career Guide

  • DataKwery Logo

Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Online Learning
Microsoft
1. Microsoft Azure Data Fundamentals

2 hours

Beginner
Microsoft Azure NoSQL
edX
Georgia Institute of Technology
2. Computing in Python I: Fundamentals and Procedural Programming

5 weeks, 10 hours/week

Beginner
Python
edX
Georgia Institute of Technology
3. Computing in Python II: Control Structures

5 weeks, 10 hours/week

Beginner
Python
edX
Georgia Institute of Technology
4. Computing in Python III: Data Structures

5 weeks, 10 hours/week

Beginner
Python
edX
Georgia Institute of Technology
5. Computing in Python IV: Objects & Algorithms

5 weeks, 10 hours/week

Beginner
Python
Udacity
6. Intro to Relational Databases
Karl Krueger

4 weeks

Intermediate
Python SQL
Udacity
Georgia Institute of Technology
7. Database Systems Concepts & Design
Leo Mark and Shabana Figueroa

16 weeks

Intermediate
SQL
Udacity
Mode
8. SQL for Data Analysis
Derek Steer

4 weeks

Beginner
SQL
Udacity
9. Spark
David Drummond and Judit Lantos

10 hours

Intermediate
Apache Spark PySpark Python SQL
Udacity
MongoDB
10. Data Wrangling with MongoDB
Gundega Dekena and Shannon Bradshaw

2 months

Intermediate
MongoDB XML
Udacity
11. Linux Command Line Basics

1 weeks

Beginner
Linux Shell
Coursera
12. Introduction to Designing Data Lakes in AWS

14 hours

Intermediate

6,402
Amazon Web Services S3
edX
IBM
13. Building ETL and Data Pipelines with Bash, Airflow and Kafka

5 weeks, 3 hours/week

Beginner
Kafka SQL Shell
edX
14. Data Warehousing and BI Analytics
Rav Ahuja and Ramesh Sannareddy

6 weeks, 3 hours/week

Beginner
Cognos SQL Snowflake
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