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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

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Data Ethics, Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Applied Machine Learning, Data Visualization, Bayesian Statistics, Unsupervised Learning, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Linear Algebra

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Network Security, Troubleshooting, & Certification Prep

      Skills you'll gain: Network Troubleshooting, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Hardening, Network Administration, Network Monitoring, Intrusion Detection and Prevention, Threat Modeling, Network Protocols, Cybersecurity, Information Systems Security, Firewall, Network Infrastructure, General Networking, Authentications, Identity and Access Management, Local Area Networks, Networking Hardware, Encryption, Virtual Local Area Network (VLAN)

      Intermediate · Course · 1 - 3 Months

    • B

      Ball State University

      Master of Science in Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Operating Systems, Android Development, Database Design, Bioinformatics, Feature Engineering, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic, Database Systems, Microarchitecture

      Earn a degree

      Degree · 1 - 4 Years

    • I

      IIT Guwahati

      Bachelor of Science in Data Science & AI

      Skills you'll gain: Package and Software Management, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Econometrics, R Programming, Text Mining, Probability Distribution, Artificial Intelligence, Time Series Analysis and Forecasting, Data Processing, C (Programming Language), Visualization (Computer Graphics)

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Illinois Institute of Technology

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Semiconductor Photonics Graduate Certificate

      Skills you'll gain: Semiconductors, Power Electronics, Display Devices, Control Systems, Computer Displays, Electronic Systems, Systems Design, Technical Design, Electrical Engineering, USB, Electronic Components, Electrical Systems, Electronics, Electronics Engineering, Electrical Power, Electric Power Systems, Simulation and Simulation Software, Equipment Design, Systems Analysis, Engineering, Scientific, and Technical Instruments

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Power Electronics Graduate Certificate

      Skills you'll gain: Power Electronics, Debugging, Tensorflow, Computer Vision, Display Devices, Control Systems, Computer Displays, Image Analysis, Semiconductors, Electrical Engineering, Electronic Systems, PyTorch (Machine Learning Library), Systems Design, Artificial Neural Networks, Applied Machine Learning, USB, Electrical Systems, Computer Programming Tools, Electrical Power, Technical Design

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Surveys, Bayesian Statistics, Graphing, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • O

      O.P. Jindal Global University

      MBA Business Analytics

      Skills you'll gain: Operations Management, Data Storytelling, Design Thinking, Data Visualization, Active Listening, Business Ethics, Working Capital, Database Management, Sampling (Statistics), Environmental Social And Corporate Governance (ESG), Project Estimation, Financial Statements, Business Analytics, Financial Accounting, Predictive Analytics, Big Data, Regression Analysis, Marketing, Marketing Management, Emerging Technologies

      Earn a degree

      Degree · 1 - 4 Years

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

    • Master of Science in Data Science (Statistics): University of Leeds
    • Network Security, Troubleshooting, & Certification Prep: Packt
    • Master of Science in Data Science: Ball State University
    • Bachelor of Science in Computer Science: BITS Pilani
    • Bachelor of Science in Data Science & AI: IIT Guwahati
    • Master of Data Science: Illinois Institute of Technology
    • Semiconductor Photonics Graduate Certificate: University of Colorado Boulder
    • Master of Data Science: University of Pittsburgh
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Power Electronics Graduate Certificate: 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

    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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