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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

    • U

      University of California, Davis

      Search Engine Optimization (SEO)

      Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Content Creation, Social Media Strategy, Competitive Analysis, Target Audience, Client Services, Content Marketing, Peer Review, Social Media Marketing, Consumer Behaviour, Google Analytics, Presentations, Marketing, Forecasting, Digital Marketing, Expectation Management, Content Strategy, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Cleansing, Quality Assurance, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Attract and Engage Customers with Digital Marketing

      Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Google Ads, Online Advertising, Target Audience, Digital Marketing, Digital Advertising, Persona Development, Web Analytics and SEO, Keyword Research, Pay Per Click Advertising, Marketing, Customer Engagement, Customer Acquisition Management, Advertising, Marketing Strategies, Lead Generation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Data Visualization with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Global Environmental Management

      Skills you'll gain: Water Resources, Energy and Utilities, Environmental Engineering, Natural Resource Management, Civil Engineering, Environment, Environmental Management Systems, Public Works, Land Management, Environmental Resource Management, Environmental Science, Cultural Responsiveness, Waste Minimization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Duke University

      Introduction to Genetics and Evolution

      Skills you'll gain: Life Sciences, Molecular Biology, Biology, Biostatistics, Bioinformatics, Environment, Laboratory Research, Taxonomy, Scientific Methods, Experimentation, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistical Inference, Statistical Analysis, Statistical Software, Probability Distribution, Research, Correlation Analysis, Research Design, Sampling (Statistics), Research Reports, Science and Research, Probability, Interviewing Skills, Data Analysis, Sample Size Determination, Statistical Methods, Social Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Containerization, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Cloud Computing, Application Development, Generative AI, Network Infrastructure, NoSQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Application Deployment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • L

      L&T EduTech

      Basics of Electrical Protection System

      Skills you'll gain: Electrical Systems, Electrical Power, Electric Power Systems, Electrical Equipment, Electrical Safety, High Voltage, Basic Electrical Systems, Low Voltage, Electrical Engineering, Three-Phase, Failure Analysis, Engineering Calculations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      56 reviews

      Beginner · Course · 1 - 3 Months

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

    • Search Engine Optimization (SEO): University of California, Davis
    • Total Data Quality: University of Michigan
    • Sequence Models: DeepLearning.AI
    • Feature Engineering: Google Cloud
    • Attract and Engage Customers with Digital Marketing: Google
    • Data Visualization with R: IBM
    • Global Environmental Management: Technical University of Denmark (DTU)
    • Introduction to Genetics and Evolution: Duke University
    • Methods and Statistics in Social Sciences: University of Amsterdam
    • Google Cloud Fundamentals: Core Infrastructure: Google Cloud

    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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