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  • Thinking Like A Data Engineer

Results for "thinking like a data engineer"


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    SQL for Data Science

    Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Data Driven Manager

    Skills you'll gain: Sampling (Statistics), Engineering Management, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Estimation, Statistical Visualization, Data Analysis, Sample Size Determination, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Leadership and Management, Technical Management, Leadership, R (Software), Box Plots, Problem Solving

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    SkillUp

    Prep for Microsoft Azure Data Engineer Associate Cert DP-203

    Skills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    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, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Make Data-Driven Decisions

    Skills you'll gain: Business Metrics, Data Visualization, Data Visualization Software, Small Data, Decision Making, Key Performance Indicators (KPIs), Big Data

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, SQL, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    693 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Introducing Data Analytics and Analytical Thinking

    Skills you'll gain: Business Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Se préparer à devenir Professional Data Engineer

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

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Capstone Project

    Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Relational Databases, Data Infrastructure, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, SQL, MySQL, Data Analysis, Dashboard, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    131 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Warehousing Capstone Project

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, IBM Cognos Analytics, Database Design, Data Transformation, Data Mart, Star Schema, Data Modeling, MySQL, Dashboard, Data Architecture, Data Pipelines, PostgreSQL, Statistical Reporting, IT Automation, SQL

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data Strategy, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Migration, Business Analytics, Data Management, Data Quality, Data Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

1…456…834

In summary, here are 10 of our most popular thinking like a data engineer courses

  • SQL for Data Science: University of California, Davis
  • The Data Driven Manager: University of Colorado Boulder
  • Prep for Microsoft Azure Data Engineer Associate Cert DP-203: SkillUp
  • DataOps Methodology : IBM
  • Google BigQuery for Data and ML Engineers: Pearson
  • Make Data-Driven Decisions: Google
  • The Path to Insights: Data Models and Pipelines: Google
  • Introducing Data Analytics and Analytical Thinking: Google
  • Se préparer à devenir Professional Data Engineer: Google Cloud
  • Data Engineering Capstone Project: IBM

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