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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

    • J

      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Spatial Data Analysis, Data Visualization, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Data Literacy, Data Manipulation, Plotly, Storyboarding, Data Storytelling, Heat Maps

      4.8
      Rating, 4.8 out of 5 stars
      ·
      429 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      Skills you'll gain: Data Transformation, Big Data, Data Cleansing, Cloud Infrastructure, Google Cloud Platform, Data Analysis, Data Warehousing, SQL, Data Pipelines, Data Visualization Software, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Introduction to Structured Query Language (SQL)

      Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Databases, Data Modeling, Development Environment, PHP (Scripting Language), Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EDUCBA

      Data Center Security Management with Microsoft System Center

      Skills you'll gain: Incident Response, Incident Management, Data Centers, DevSecOps, System Monitoring, Threat Detection, Infrastructure Security, Microsoft Servers, Security Management, Payment Card Industry (PCI) Data Security Standards, Information Systems Security, Windows Servers, IT Infrastructure, Security Information and Event Management (SIEM), Disaster Recovery, IT Automation, Virtual Machines, Configuration Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Plant Bioinformatic Methods

      Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Microsoft 365 Copilot for Leaders

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Microsoft 365, Target Audience, Business Writing, Generative AI, Microsoft Teams, Leadership, Meeting Facilitation, Organizational Leadership, Productivity Software, Complex Problem Solving, Strategic Communication, Business Leadership, Proposal Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Internet of Things and AI Cloud

      Skills you'll gain: Session Initiation Protocols, Version Control, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Software Design, Amazon Web Services, Software Design Documents, Cloud Infrastructure, Git (Version Control System), Computer Vision, System Design and Implementation, Android Development, Android Studio, Telecommunications, Internet Of Things, Wireless Networks, Mobile Development, Digital Communications

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Reliable Google Cloud Infrastructure: Design and Process

      Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Applications, Key Performance Indicators (KPIs), DevOps, Data Storage, System Design and Implementation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Python Programming

      Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

      Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University at Buffalo

      Blockchain Basics

      Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Network Model, Data Structures, Distributed Computing, FinTech, Virtual Environment, Data Integrity, Emerging Technologies, Virtual Machines, Verification And Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…616263…728

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

    • Data Visualization & Dashboarding with R: Johns Hopkins University
    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • Introduction to Structured Query Language (SQL): University of Michigan
    • Data Center Security Management with Microsoft System Center: EDUCBA
    • Basic Statistics: University of Amsterdam
    • Plant Bioinformatic Methods: University of Toronto
    • Microsoft 365 Copilot for Leaders: Vanderbilt University
    • Internet of Things and AI Cloud: University of California San Diego
    • Reliable Google Cloud Infrastructure: Design and Process: Google Cloud
    • Introduction to Python Programming: University of Pennsylvania

    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

    Coursera’s Data Engineering courses offer learners a deep dive into the technical skills required to design, build, and manage data infrastructure:

    • Techniques for designing data models and databases.
    • Skills in data warehousing and data lake construction and management.
    • Proficiency in big data technologies such as Hadoop, Spark, and Apache Kafka.
    • Best practices for data integration, ETL (extract, transform, load) processes, and pipeline construction.
    • Understanding of data quality management and data governance.
    • Application of automation and monitoring tools to maintain data systems.‎

    Data Engineering courses on Coursera cater to learners of all backgrounds:

    • Beginners can start with introductory courses that teach the basics of data infrastructure and SQL.
    • Those with some technical experience can focus on advanced topics like big data processing or cloud data services.
    • Advanced learners can explore specialized areas such as machine learning data pipelines or real-time data processing.‎

    Learners who complete Data Engineering courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that demonstrate a foundational understanding and practical skills in data engineering.
    • Specializations that focus on detailed aspects of data engineering, such as performance tuning, scalability, or security.
    • Certificates that can potentially be recognized by technology companies and other employers as evidence of expertise in data engineering.‎

    Skills in data engineering can lead to a variety of roles within the technology and analytics sectors:

    • Data Engineer, responsible for designing and managing scalable data systems.
    • Database Administrator, maintaining and optimizing database performance.
    • Cloud Solutions Architect, focusing on cloud storage and data services.
    • Data Architect, shaping strategic data practices and architectures.
    • Machine Learning Engineer, preparing data infrastructure for predictive models.‎

    Yes, Coursera offers a variety of free courses across many topics, including data engineering. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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