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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
      A

      Aptly

      Search Advertising with Google

      Skills you'll gain: Google Ads, Advertising Campaigns, Content Performance Analysis, Pay Per Click Advertising, Search Engine Marketing, Performance Metric, Campaign Management, Performance Analysis, Keyword Research, Performance Measurement, Bidding, Digital Advertising, Web Analytics, Registration, Advertising, Marketing, Digital Marketing, Key Performance Indicators (KPIs), Test Planning, Copywriting

      Beginner · Specialization · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Visualization (Computer Graphics), Python Programming, Algorithms, Spatial Analysis, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      How to Build a BI Dashboard Using Google Data Studio and BigQuery

      Skills you'll gain: Dashboard, Data Import/Export, Business Intelligence, Google Cloud Platform, Data Integration, Database Development, Data Migration, Query Languages

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Connect an App to a Cloud SQL for PostgreSQL Instance

      Skills you'll gain: Application Deployment, Kubernetes, Cloud Applications, Google Cloud Platform, Cloud Management, Databases, Containerization, Data Access, PostgreSQL, SQL

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      University of Nebraska

      High Level Biocontainment for Healthcare Facilities

      Skills you'll gain: Patient Positioning, Infection Control, Infectious Diseases, Patient Safety, Environment Health And Safety, Public Health, Health And Safety Standards, Medical Equipment and Technology, Mental Health, Media and Communications, Emergency Response

      4.7
      Rating, 4.7 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Quantifying Relationships with Regression Models

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exploratory Data Analysis in AWS

      Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Analysis, Real Time Data, Applied Machine Learning, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation

      Beginner · 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

    • P

      Peking University

      社会调查与研究方法 (上)Methodologies in Social Research (Part I)

      Skills you'll gain: Surveys, Research Methodologies, Research Design, Social Sciences, Scientific Methods, Research, Experimentation, Data Collection, Qualitative Research, Sociology, Sample Size Determination, Economics, Policy, and Social Studies, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Python for the Absolute Beginner

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Debugging, Computer Programming, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Seguridad en la red

      Skills you'll gain: IT Security Architecture, Computer Security Incident Management, Network Security, Incident Response, Information Systems Security, Cybersecurity, Cloud Security, Cyber Security Strategy, Intrusion Detection and Prevention, Data Security, Security Controls

      4.8
      Rating, 4.8 out of 5 stars
      ·
      106 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

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

    • Search Advertising with Google: Aptly
    • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
    • How to Build a BI Dashboard Using Google Data Studio and BigQuery: Google Cloud
    • Connect an App to a Cloud SQL for PostgreSQL Instance: Google Cloud
    • High Level Biocontainment for Healthcare Facilities: University of Nebraska
    • Quantifying Relationships with Regression Models: Johns Hopkins University
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Exploratory Data Analysis in AWS: Whizlabs
    • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
    • 社会调查与研究方法 (上)Methodologies in Social Research (Part I): Peking 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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