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Python, Bash and SQL Essentials for Data Engineering Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
4 months
Duration
4 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Master foundational strategies and tools to become proficient in developing data engineering and machine learning solutions. This Python, Bash and SQL Essentials for Data Engineering course is offered by Coursera in partnership with Duke University. 

Overview

This Python, Bash and SQL Essentials for Data Engineering course is offered by Coursera in partnership with Duke University. 

What you'll learn

  • Develop data engineering solutions with a minimal and essential subset of the Python language and the Linux environment

  • Design scripts to connect and query a SQL database using Python

  • Use a scraping library in Python to read, identify and extract data from websites

Skills you'll gain

  • Computer Programming
  • Computer Programming Tools
  • Python Programming
  • Programming Principles
  • Data Management
  • Data Structures
  • Databases
  • Amazon Web Services
  • Data Analysis
  • SQL
  • DevOps

Key facts

  • 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.

Programme Structure

Courses included:

  • Python and Pandas for Data Engineering
  • Linux and Bash for Data Engineering
  • Scripting with Python for Data Engineering
  • Web Applications and Command-Line Tools for Data Engineering

Key information

Duration

  • Part-time
    • 4 months
    • 5 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • Students should have beginner level Linux skills. No experience in Python is required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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