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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: Free Trial
      Free Trial
      M

      Microsoft

      Work Smarter with Microsoft Word

      Skills you'll gain: Microsoft Word, Microsoft 365, Productivity Software, Proofreading, Document Management, Technical Documentation, Microsoft Windows, Presentations, Writing, Editing, Data Entry, Data Visualization, Grammar

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Design and Interpretation of Clinical Trials

      Skills you'll gain: Clinical Trials, Scientific Methods, Medical Science and Research, Biostatistics, Data Collection, Ethical Standards And Conduct, Regulatory Compliance, Sample Size Determination, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Payroll Specialist

      Skills you'll gain: Payroll, Payroll Processing, Payroll Systems, Payroll Administration, Payroll Tax, Payroll Reporting, Compensation Strategy, Tax Management, Data Entry, Employee Onboarding, Labor Compliance, Labor Law, Human Resource Strategy, Compensation Management, Compensation and Benefits, Non-Profit Accounting, Tax Compliance, Human Resources, Benefits Administration, Specialized Accounting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      458 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Programming with JavaScript

      Skills you'll gain: Jest (JavaScript Testing Framework), Javascript, Unit Testing, Web Applications, Programming Principles, Object Oriented Programming (OOP), Event-Driven Programming, Node.JS, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Program Development, Functional Design

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Security Analyst Fundamentals

      Skills you'll gain: Cyber Threat Hunting, Incident Response, Cyber Threat Intelligence, Penetration Testing, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Modeling, Threat Detection, Threat Management, MITRE ATT&CK Framework, Cryptography, Security Testing, Incident Management, Application Security, Encryption, Cybersecurity, Code Review, Vulnerability Scanning, Vulnerability Assessments, Open Web Application Security Project (OWASP)

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Martin E. P. Seligman’s Visionary Science

      Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Human Development, Creativity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Data Storytelling with Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Dashboard, Data Visualization Software, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Modeling, Business Intelligence, Microsoft Excel, Data Manipulation, Performance Reporting, Data Cleansing, Report Writing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Back-End Developer

      Skills you'll gain: CI/CD, C# (Programming Language), Load Balancing, Continuous Integration, Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Debugging, SQL, Application Deployment, Microsoft Azure, Cloud Services, Microsoft Copilot, Relational Databases, Graph Theory, Back-End Web Development, Program Development, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Finance and Data Analysis Fundamentals

      Skills you'll gain: Capital Budgeting, Cash Flows, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Financial Analysis, Finance, Data Visualization, Probability, Statistics, Business Valuation, Financial Statement Analysis, Business Mathematics, Accounting, Return On Investment, General Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data engineering

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    1…484950…747

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

    • Work Smarter with Microsoft Word: Microsoft
    • Data Analytics Engineering: Probability & Techniques: Northeastern University
    • Design and Interpretation of Clinical Trials: Johns Hopkins University
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • ADP Entry-Level Payroll Specialist: Automatic Data Processing, Inc. (ADP)
    • Programming with JavaScript: Meta
    • Security Analyst Fundamentals: IBM
    • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
    • Data Storytelling with Power BI: Edureka
    • Everyday Excel: University of Colorado Boulder

    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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