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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

    • T

      Tableau Learning Partner

      Data Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Presentation, Tree Maps, Dashboard, Heat Maps, Geospatial Mapping, Data Storytelling, Data Manipulation, Data Mapping, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 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

    • I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      332 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Davis

      Fundamentals of Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Data Presentation, Tree Maps, Data Analysis, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Artificial Neural Networks, Governance, Prompt Engineering, Machine Learning, Automation, Digital Transformation, Business Transformation, Business Technologies, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      601 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Introduction to Tableau

      Skills you'll gain: Tableau Software, Data Presentation, Interactive Data Visualization, Data Visualization Software, Business Analytics, Business Intelligence, Data Integration, Data Analysis, Data Cleansing, Data Processing, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      256 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

    • 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

    • U

      University of Michigan

      Python Basics

      Skills you'll gain: Debugging, Programming Principles, Python Programming, Data Structures, Scripting Languages, Computer Programming, Pseudocode, Computer Graphics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Excel Formulas, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Methods, Sample Size Determination, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Data Visualization with Tableau: Tableau Learning Partner
    • Google Cloud Fundamentals: Core Infrastructure: Google Cloud
    • Data Analysis with R: IBM
    • Fundamentals of Visualization with Tableau: University of California, Davis
    • Introduction to Genetics and Evolution: Duke University
    • Introduction to Artificial Intelligence (AI): IBM
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Introduction to Tableau: Tableau Learning Partner
    • Data Visualization with R: IBM
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud

    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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