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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

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      Capstone: Create Value from Open Data

      Skills you'll gain: Peer Review, Complex Problem Solving, Data Synthesis, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      54 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modelling: Integration Applications

      Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Mathematical Modeling, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Exploratory Data Analysis, Data Quality, Data Cleansing, Google Cloud Platform, Machine Learning, Data Pipelines, Data Strategy, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Deep Learning, Performance Tuning, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique

      Vers l'infiniment grand - Voyages de l'infiniment grand à l'infiniment petit

      Skills you'll gain: Physics, Global Positioning Systems, Physical Science, General Science and Research, Technology Solutions, Engineering, Scientific, and Technical Instruments, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Generative AI in Marketing

      Skills you'll gain: Generative AI, Customer Engagement, Customer Acquisition Management, Marketing Strategies, Marketing, Content Creation, ChatGPT, Marketing Effectiveness, Prompt Engineering, Large Language Modeling, Intellectual Property, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Meet

      Skills you'll gain: Google Workspace, Generative AI, Collaborative Software, Prompt Engineering

      4
      Rating, 4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Marketing Analysts: Innovate Marketing Strategies

      Skills you'll gain: Marketing Analytics, Google Analytics, Campaign Management, Generative AI, Marketing Automation, Performance Analysis, Social Media Campaigns, Marketing Strategies, Customer Insights, Data Ethics, OpenAI, ChatGPT, Business Ethics, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Scikit-Learn to Solve Regression Machine Learning Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Random Forest Algorithm

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Network Security

      Skills you'll gain: Network Security, OSI Models, TCP/IP, Threat Modeling, Network Protocols, Computer Networking, Cybersecurity, Application Security, Network Architecture, Cryptographic Protocols, Vulnerability Assessments, Network Infrastructure

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Fundamentals of Database Systems

      Skills you'll gain: Information Systems, Database Software, Database Systems, Database Design, Information Management, Databases, Relational Databases, Database Management, Data Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      27 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      The DMAIC Framework: Analyze, Improve, and Control Phase

      Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Quality Improvement, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

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

    • Calculus for Engineers: The Hong Kong University of Science and Technology
    • Capstone: Create Value from Open Data: ESSEC Business School
    • Calculus through Data & Modelling: Integration Applications: Johns Hopkins University
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • Vers l'infiniment grand - Voyages de l'infiniment grand à l'infiniment petit: École Polytechnique
    • Generative AI in Marketing: Emory University
    • Gemini in Google Meet: Google Cloud
    • GenAI for Marketing Analysts: Innovate Marketing Strategies: Coursera Instructor Network
    • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
    • Introduction to Network Security: University of London

    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)

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