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  1. Home
  2. Learning Paths

Python, Bash and SQL Essentials for Data Engineering Learning Path

Python, Bash and SQL Essentials for Data Engineering is a Specialization designed by Coursera. It consists of four courses and can be completed in four months with 6 hours of learning content .

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Description

If you are interested in developing the skills needed to be a data engineer, the Python, Bash and SQL Essentials for Data Engineering Specialization is a great place to start. We live in a world that is driven by big data - from what we search online to the route we take to our favorite restaurant, and everything in between. Businesses and organizations use this data to make decisions that impact the ways in which we navigate our lives. How do engineers collect this data? How can this data be organized so that it can be appropriately analyzed? A data engineer is specialized in this initial step of accessing, cleaning and managing big data.

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Free Learning Paths by Career Track

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

Included Courses

Coursera
Duke University
Free
1. Python and Pandas for Data Engineering

38 hours

Beginner
Apache Spark Git Jupyter NumPy Pandas Arrays Data Analysis Debugging Functions Loops
Coursera
Duke University
2. Linux and Bash for Data Engineering

22 hours

Intermediate
Amazon Web Services Github Linux Python SQL Databases Loops Machine Learning Regular Expressions Terminal
Coursera
Duke University
3. Scripting with Python and SQL for Data Engineering

19 hours

Intermediate
MySQL Python SQL Scrapy Databases JSON Programming Reporting
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