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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

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Database Integration and Management

      Skills you'll gain: SQL, Relational Databases, Microsoft Copilot, Database Management, Transaction Processing, Query Languages, Database Design, Databases, Object-Relational Mapping, Performance Tuning, Data Integrity, Data Modeling, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Query Language and Data Analysis

      Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      122 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Copenhagen

      Patient Perspectives on Medications: Qualitative Interviews

      Skills you'll gain: Interviewing Skills, Qualitative Research, Research, Research Design, Research Methodologies, Rapport Building, Patient Education and Support, Ethical Standards And Conduct, Non-Verbal Communication, Cultural Sensitivity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Essential Testing Techniques in Software Development

      Skills you'll gain: Test Case, Software Testing, Integration Testing, Software Development Life Cycle, System Testing, Acceptance Testing, Maintainability, Regression Testing, Test Planning, Software Quality Assurance, Unit Testing, Functional Testing, User Acceptance Testing (UAT)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • 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

    • 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

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Modern Web Development Specialization

      Skills you'll gain: Restful API, CI/CD, Model View Controller, ASP.NET, Cloud Infrastructure, Continuous Deployment, Load Balancing, OAuth, Continuous Integration, Continuous Delivery, Cloud Computing, Cloud Applications, Application Deployment, Cloud Computing Architecture, Cloud Platforms, Infrastructure As A Service (IaaS), Web Applications, Web Development, Microservices, Secure Coding

      4.9
      Rating, 4.9 out of 5 stars
      ·
      160 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Gen AI for Software Development: Code Generation for Python

      Skills you'll gain: Prompt Engineering, Generative AI, Development Environment, Computational Thinking, Artificial Intelligence, Python Programming, Computer Programming, Game Design, Debugging

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

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    1…417418419…746

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

    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Database Integration and Management: Microsoft
    • Splunk Query Language and Data Analysis: EDUCBA
    • Patient Perspectives on Medications: Qualitative Interviews: University of Copenhagen
    • Essential Testing Techniques in Software Development: Board Infinity
    • Python Debugging: A Systematic Approach: University of Michigan
    • Beer Quality: Flavor: University of California, Davis
    • Serverless Data Processing with Dataflow: Operations: Google Cloud
    • Excel Skills for Statistics and Data Analysis: Essentials: Macquarie University
    • Visualizing Data in the Tidyverse: Johns Hopkins University

    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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