2 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
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Start date

About

The Data Engineering Foundations course is offered by Coursera in partnership with IBM. Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.

Visit programme website for more information

Overview

The Data Engineering Foundations course is offered by Coursera in partnership with IBM.

What you'll learn

  • Working knowledge of Data Engineering Ecosystem and Lifecycle. Viewpoints and tips from Data professionals on starting a career in this domain.
  • Python programming basics including data structures, logic, working with files, invoking APIs, using libraries such as Pandas and Numpy, doing ETL.
  • Relational Database fundamentals including Database Design, Creating Schemas, Tables, Constraints, and working with MySQL, PostgreSQL & IBM Db2.
  • SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procs, working with multiple tables, JOINs, & transactions.

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM

Skills you'll gain

  • Data Management
  • Databases
  • Network Security
  • Big Data
  • Data Analysis
  • Leadership and Management
  • SQL

Programme Structure

Courses included:

  • Introduction to Data Engineering
  • Python for Data Science, AI & Development
  • Python Project for Data Engineering
  • Introduction to Relational Databases (RDBMS)
  • Databases and SQL for Data Science with Python

Key information

Duration

  • Part-time
    • 2 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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
  • Recommended experience: Basic Computer & IT Literacy, and working experience on one or more Operating Systems. No prior knowledge or experience of Data Engineering needed.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • 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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