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    • Data Engineering

    Data Engineering Courses Online

    Learn data engineering for building data pipelines and infrastructure. Understand data integration, storage, and processing technologies.

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    Explore the Data Engineering Course Catalog

    • I

      IBM

      IBM Back-end JavaScript Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Containerization, Kubernetes, Server Side, MongoDB, Application Deployment, Cloud-Native Computing, NoSQL, Restful API, OpenShift, Git (Version Control System), Cloud Applications, GitHub, Serverless Computing, Back-End Web Development, HTML and CSS, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Business Analyst

      Skills you'll gain: Microsoft Power Platform, Excel Formulas, Process Flow Diagrams, Business Process Modeling, User Story, Business Requirements, Stakeholder Management, Data Modeling, Microsoft Excel, Microsoft Visio, Software Development Life Cycle, Requirements Analysis, Requirements Elicitation, Quality Management, Pivot Tables And Charts, Power BI, Microsoft Power Automate/Flow, Scrum (Software Development), Business Analysis, Project Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      945 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Microsoft

      Master Microsoft Office 365 and Power Platform

      Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Outlook, Data Integration, Business Intelligence, Business Process Automation, Productivity Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      SkillUp EdTech

      Prep for Microsoft Azure Data Engineer Associate Cert DP-203

      Skills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Quality, Microsoft Azure, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Data Lakes, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      554 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Information Technology (IT) and Cloud Fundamentals

      Skills you'll gain: Cloud Computing Architecture, Peripheral Devices, Cloud Services, Cybersecurity, Computing Platforms, Cloud Security, Cloud Infrastructure, Network Troubleshooting, Cloud Platforms, Data Storage, Software Development Life Cycle, Cyber Attacks, Security Awareness, Networking Hardware, Application Development, Information Technology, Cloud Computing, Databases, Computer Hardware, Computer Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Front-End Developer

      Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, User Centered Design, Cloud-Native Computing, React Redux, NoSQL, Git (Version Control System), GitHub, Webpack, Application Development, MongoDB, React.js, Agile Methodology, HTML and CSS, Front-End Web Development, JavaScript Frameworks, Browser Compatibility, Development Environment, Version Control, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM iOS and Android Mobile App Developer

      Skills you'll gain: React Native, Software Development Life Cycle, iOS Development, Flutter (Software), Swift Programming, Apple Xcode, Mobile Development, Android Studio, User Centered Design, Android Development, Apple iOS, React Redux, Git (Version Control System), GitHub, Mobile Development Tools, React.js, Android (Operating System), HTML and CSS, AI Personalization, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Image Analysis, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google

      Play It Safe: Manage Security Risks

      Skills you'll gain: Threat Management, Cybersecurity, Risk Management Framework, Risk Management, Business Risk Management, Incident Response, Vulnerability Management, Security Information and Event Management (SIEM), Security Controls, Continuous Monitoring, Information Systems Security, Enterprise Security, Risk Analysis, Threat Detection, Information Assurance, Open Web Application Security Project (OWASP), Auditing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Change Management, Vendor Management, Health Policy, Health Care, Process Improvement, Workflow Management, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Clinical Leadership, Organizational Change, Decision Support Systems, Solution Design, IT Management, Clinical Data Management, Health Systems, Project Management, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      886 reviews

      Beginner · Specialization · 3 - 6 Months

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    1…272829…721

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

    • IBM Back-end JavaScript Developer: IBM
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Microsoft Business Analyst: Microsoft
    • Master Microsoft Office 365 and Power Platform: Microsoft
    • Prep for Microsoft Azure Data Engineer Associate Cert DP-203: SkillUp EdTech
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Information Technology (IT) and Cloud Fundamentals: IBM
    • IBM Front-End Developer: IBM
    • IBM iOS and Android Mobile App Developer: IBM
    • Generative AI for Human Resources (HR) Professionals: IBM

    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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