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  • Data Engineering

Results for "data+engineering"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Engineering Data Ecosystems: Pipelines, ETL, Spark

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Data Engineers: Scaling with GenAI

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Product Strategy, OpenAI, Data Pipelines, Data Modeling, ChatGPT, Data Transformation, Data Quality, Database Management, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    NLP in Engineering: Concepts & Real-World Applications

    Skills you'll gain: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • D

    Duke University

    MySQL-for-Data-Engineering

    Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation, Python Programming, Linux

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for your Professional Data Engineer Journey

    Skills you'll gain: Data Pipelines, Data Storage, Data Processing, Google Cloud Platform, Cloud Storage, Data Analysis, Cloud Engineering, Data Infrastructure, Data Architecture, Data Management, Data Preprocessing, Automation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Warehousing and Integration Part 2

    Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability

    Mixed · Course · 1 - 3 Months

1…6789

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

  • Scripting with Python and SQL for Data Engineering: Duke University
  • Engineer Features and Evaluate Models for Production: Coursera
  • Google BigQuery for Data and ML Engineers: Pearson
  • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera
  • GenAI for Data Engineers: Scaling with GenAI: Coursera
  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
  • MySQL-for-Data-Engineering: Duke University
  • Preparing for your Professional Data Engineer Journey: Google Cloud
  • Engineering Probability and Statistics Part 2: Northeastern University

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