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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
      P

      Packt

      Data Management with SQL

      Skills you'll gain: MySQL, SQL, Database Design, Database Management, Query Languages, Databases, Data Manipulation, Relational Databases, Data Analysis, Performance Tuning, Software Installation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Storytelling

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Tableau Software, Dashboard, LinkedIn, Storytelling, Professional Networking, Data Visualization Software, Looker (Software), Technical Communication, Power BI, Interviewing Skills

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Data Science Techniques

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, Machine Learning Algorithms, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Presentation, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Reporting, Statistical Methods, Data Cleansing, Forecasting, Applied Machine Learning, Analytics, R Programming, Machine Learning, Regression Analysis, Statistical Modeling

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Analytics and Deep Learning

      Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Data Presentation, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Tensorflow

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      Simplilearn

      Excel Data Analysis and DAX Essentials Course

      Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Processing, Data Presentation, Data Transformation, Data Analysis, Data Visualization, Barcoding, Microsoft PowerPoint, Productivity Software, Data Import/Export

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      From Likes to Leads: Interact with Customers Online

      Skills you'll gain: Social Media Strategy, Social Media Marketing, Content Creation, Social Media Campaigns, Social Media Management, Marketing Analytics, Customer Engagement, Digital Advertising, Brand Awareness, Advertising, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Pontificia Universidad Católica de Chile

      Análisis de sistemas térmicos usando Python

      Skills you'll gain: Thermal Management, Engineering Calculations, Mechanical Engineering, Engineering Analysis, Plot (Graphics), Scientific Visualization, HVAC, Graphical Tools, Simulation and Simulation Software, Energy and Utilities, Python Programming, NumPy, Computer Programming Tools

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Alteryx Mastery: Data Analytics & Workflow Automation

      Skills you'll gain: Data Import/Export, Alteryx, Data Visualization, Business Analytics, Data Governance, Workflow Management, Operational Efficiency, Data Cleansing, Data Management, Data Manipulation, Data Transformation, Data Analysis, Business Process Automation, Data Integration, Automation

      Beginner · Course · 1 - 4 Weeks

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    1…414243…746

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

    • Data Management with SQL: Packt
    • Foundations of ML & Python for Data Science: Packt
    • Data Storytelling: DeepLearning.AI
    • Introduction to Data Science Techniques: Illinois Tech
    • Data Analytics and Deep Learning: Illinois Tech
    • Excel Data Analysis and DAX Essentials Course: Simplilearn
    • From Likes to Leads: Interact with Customers Online: Google
    • Exploratory Data Analysis: University of Leeds
    • Developing Data Products: Johns Hopkins University
    • Statistics & Mathematics for Data Science & Data Analytics: Packt

    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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