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    • Data Engineering

    Data Engineering Courses

    Data engineering courses can help you learn how to design, build, and maintain data systems and pipelines that support analytics, machine learning, and business intelligence.

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    Find the Best Data Engineering Course for Your Goals

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Debugging: A Systematic Approach

      Skills you'll gain: Debugging, Large Language Modeling, Programming Principles, Computer Programming, Python Programming, Prompt Engineering, Data Manipulation, Software Documentation, Technical Documentation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Essentials

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Spreadsheet Software, Box Plots, Probability Distribution, Statistical Visualization, Histogram

      Beginner · Course · 1 - 3 Months

    • E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Microsoft SQL Server Development for Everyone

      Skills you'll gain: Microsoft SQL Servers, SQL, Database Design, Database Management, Stored Procedure, Relational Databases, Database Architecture and Administration, Query Languages, Data Integrity, Data Manipulation, Scripting, Authentications, User Accounts

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Electrical Characterization: MOSFETs

      Skills you'll gain: Semiconductors, Electronic Components, Laboratory Research, Electrical Engineering, Electronics, Data Analysis Software, Product Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Beer Quality: Flavor

      Skills you'll gain: Food and Beverage, Biochemistry, Chemistry, Process Control, Laboratory Testing, Scientific Methods, Product Testing, Quantitative Research, Human Factors, Microbiology

      5
      Rating, 5 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations

      Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Unit Testing, Disaster Recovery

      3.6
      Rating, 3.6 out of 5 stars
      ·
      17 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create surveys with Qualtrics

      Skills you'll gain: Customer Retention, Customer Insights, Customer Data Management, User Feedback, Customer experience improvement, Market Research

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Visualizing Data in the Tidyverse

      Skills you'll gain: Ggplot2, Plot (Graphics), Statistical Visualization, Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Histogram, Animations, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of California, Berkeley

      Master of Advanced Study in Engineering Degree Preview

      Skills you'll gain: Environmental Engineering, Electronics Engineering, Electronics, Civil Engineering, Manufacturing Processes, Control Systems, Manufacturing and Production, Environmental Issue, Electronic Systems, Electronic Components, Semiconductors, Engineering, Production Process, Engineering Management, Electrical Engineering, Energy and Utilities, Electrical and Computer Engineering, Systems Engineering, Robotic Process Automation, Automation

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Health Care, Unsupervised Learning, Healthcare Industry Knowledge, Healthcare Ethics, Algorithms, Data Cleansing, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Python Debugging: A Systematic Approach: University of Michigan
    • Excel Skills for Statistics and Data Analysis: Essentials: Macquarie University
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • Microsoft SQL Server Development for Everyone: Packt
    • Electrical Characterization: MOSFETs: Arizona State University
    • Beer Quality: Flavor: University of California, Davis
    • Serverless Data Processing with Dataflow: Operations: Google Cloud
    • Create surveys with Qualtrics: Coursera Project Network
    • Visualizing Data in the Tidyverse: Johns Hopkins University
    • Interpretable Machine Learning Applications: Part 2: Coursera Project Network

    Why Learn Data Engineering?

    Data engineering focuses on preparing and structuring data so it can be accessed and analyzed efficiently. It involves working with databases, cloud platforms, ETL processes, and big data tools. Learning data engineering can help you manage complex data workflows, ensure data quality, and support data-driven decision-making in tech-driven organizations.

    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

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to 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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