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  • Data Engineering

Data Engineering Courses

Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.


Popular Data Engineering Courses and Certifications


  • D

    Duke University

    MySQL-for-Data-Engineering

    Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation, Python Programming, Linux

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    195 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Presenting Data Using Charts with Canva

    Skills you'll gain: Presentations, Sales Presentations, Data Visualization, Productivity Software, Design

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Overview of Data Visualization

    Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    440 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Importing Data into R

    Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    Crash Course on Interactive Data Visualization with Plotly

    Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    371 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Data Modeling with Power BI: Advanced DAX Calculations

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Business Analysis, Financial Data, Business Intelligence, Data Modeling, Financial Analysis, Time Series Analysis and Forecasting, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    CFD Simulation Through a Centrifugal Pump

    Skills you'll gain: Simulation and Simulation Software, Simulations, Engineering Design Process, Finite Element Methods, Engineering Analysis, Hydraulics, Cloud-Based Integration, Verification And Validation, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    284 reviews

    Beginner · Guided Project · Less Than 2 Hours

Searches related to data engineering

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1234…72

In summary, here are 10 of our most popular data engineering courses

  • MySQL-for-Data-Engineering: Duke University
  • Data Science Challenge: Coursera
  • Getting Started in Google Analytics: Coursera
  • Presenting Data Using Charts with Canva: Coursera
  • Overview of Data Visualization: Coursera
  • Importing Data into R: Coursera
  • Crash Course on Interactive Data Visualization with Plotly: Coursera
  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Data Modeling with Power BI: Advanced DAX Calculations : Coursera
  • Scrape and analyze data analyst job requirements with Python: Coursera

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Data Engineering

Browse the data engineering courses below—popular starting points on Coursera.

  • DeepLearning.AI Data Engineering: DeepLearning.AI
  • Introduction to Data Engineering: IBM
  • IBM Data Engineering: IBM
  • Snowflake Data Engineering: Snowflake
  • Introduction to Data Engineering: DeepLearning.AI
  • Introduction to Modern Data Engineering with Snowflake: Snowflake
  • Data Engineering on AWS - Foundations: AWS‎

Yes. You can start learning data engineering on Coursera for free in two ways:

  • Preview the first module of many data engineering courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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