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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 Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Data Warehousing, Relational Databases, Database Architecture and Administration, Databases, Database Management, Database Systems, Database Theory, Data Modeling, Query Languages, Big Data, Data Integrity, Data Access, Data Analysis, Data Manipulation, Data Processing, Transaction Processing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Microsoft Front-End Developer

      Skills you'll gain: GitHub, C# (Programming Language), Secure Coding, HTML and CSS, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Open Web Application Security Project (OWASP), Git (Version Control System), Object Oriented Programming (OOP), Web Development, Web Design, Debugging, Mockups, Web Content Accessibility Guidelines, Microsoft Copilot, Adobe XD, Authentications, Front-End Web Development, Programming Principles, UI Components

      4.3
      Rating, 4.3 out of 5 stars
      ·
      85 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Skills you'll gain: Python Programming, Data Structures, Computer Programming, Program Development, Application Development, Algorithms, File Management

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      People Analytics

      Skills you'll gain: People Analytics, Human Resource Strategy, Talent Management, Workforce Planning, Organizational Effectiveness, Performance Analysis, Data-Driven Decision-Making, Workforce Management, Analytics, Performance Measurement, Employee Retention, Staff Management, Data Analysis, Predictive Analytics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IE Business School

      Marketing Mix Implementation

      Skills you'll gain: Product Lifecycle Management, Marketing Communications, Integrated Marketing Communications, Advertising, Marketing, Brand Strategy, Marketing Budgets, Strategic Decision-Making, Brand Management, Customer experience strategy (CX), Price Negotiation, Marketing Analytics, Marketing Strategies, Marketing Channel, Strategic Marketing, Product Strategy, Revenue Management, Merchandising, Conflict Management, Market Opportunities

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Data Processing, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Motion Graphics, Linear Algebra, Color Theory, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • L

      L&T EduTech

      Design Basics of RCC Buildings

      Skills you'll gain: Architectural Drawing, Structural Engineering, Structural Analysis, Engineering Drawings, Building Design, Engineering Documentation, Building Codes, Civil Engineering, Construction, Vibrations, Engineering Practices, Engineering Calculations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Demand Planning, Competitive Intelligence, Strategic Sourcing, Competitive Analysis, Procurement, Market Intelligence, Purchasing, Supplier Management, Supply Chain, Inventory Management, Supply Management, Vendor Management, Management Consulting, Data Collection, Inventory Control, Business Consulting, Supply Chain Management, Inventory Control Systems, Forecasting, Supplier Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Northwestern University

      Social Media Marketing

      Skills you'll gain: Blogs, Social Media Marketing, Integrated Marketing Communications, Peer Review, Key Performance Indicators (KPIs), Social Media Strategy, Business Marketing, Real Time Data, Marketing Effectiveness, Content Marketing, Strategic Marketing, Marketing Strategies, Marketing, Target Audience, Social Media, Social Media Campaigns, Budgeting, Digital Transformation, Big Data, Marketing Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Managerial Economics and Business Analysis

      Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Statistical Inference, Business Analytics, Financial Systems, Financial Policy, Banking, Probability Distribution, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Statistics, Regression Analysis, Microsoft Excel, Economics, Financial Market, Business Economics, Risk Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Operational Excellence, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Business Process Management, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Databases for Data Scientists: University of Colorado Boulder
    • Microsoft Front-End Developer: Microsoft
    • Generative AI for Educators & Teachers: Vanderbilt University
    • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile
    • People Analytics: University of Pennsylvania
    • Marketing Mix Implementation: IE Business School
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Design Basics of RCC Buildings: L&T EduTech
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Social Media Marketing: Northwestern University

    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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