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Learn all the skills you need to land a new career in tech.
Learn all the concepts you need to gain a new technical skill.
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  1. Work hands-on with real datasets while learning Python for data science.
    • Beginner Friendly.
      7 hours
  2. Take your data storytelling skills to the next level by learning how to use Microsoft Excel for data analysis and visualization.
    • Beginner Friendly.
      3 hours
  3. Learn what data structures and algorithms are, why they are useful, and how you can use them effectively in Python.
    • With Certificate
    • Intermediate.
      26 hours
  4. Get started with Python for Data Science in this beginner-friendly skill path.
    • Includes 5 Courses
    • With Certificate
    • Beginner Friendly.
      16 hours
  5. Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.
    • Includes 9 Courses
    • With Certificate
    • Beginner Friendly.
      39 hours
  6. Learn to analyze data with SQL and prepare for technical interviews.
    • Includes 9 Courses
    • With Certificate
    • Beginner Friendly.
      18 hours
  7. Ready to learn how to use AI for data analysis in Python? We’ll show you how to use AI like ChatGPT or Gemini as your own personal analytics assistant.
    • Intermediate.
      < 1 hour
  8. BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.
    • Includes 18 Courses
    • With Certificate
    • Beginner Friendly.
      50 hours
  9. Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
    • With Certificate
    • Intermediate.
      6 hours
  10. Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.
    • Includes 22 Courses
    • With Professional Certification
    • Beginner Friendly.
      70 hours
  11. Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.
    • Includes 27 Courses
    • With Professional Certification
    • Beginner Friendly.
      95 hours
  12. Learn how to build spreadsheets and analyze and visualize data with Microsoft Excel.
    • With Certificate
    • Beginner Friendly.
      1 hour
  13. Learn loops, control flow, and functions while working hands-on to merge, aggregate, and analyze real-world datasets.
    • Beginner Friendly.
      9 hours
  14. A data engineer builds the pipelines to connect data input to analysis.
    • Includes 17 Courses
    • With Certificate
    • Beginner Friendly.
      90 hours
  15. Learn how to setup Jupyter Notebooks and PostGRESQL and run data science projects on your own computer locally!
    • Beginner Friendly.
      1 hour
  16. Learn how to use Matplotlib to clarify your data with meaningful charts and other data visualizations.
    • Beginner Friendly.
      3 hours
  17. Learn to clean, analyze, and visualize data with Python and SQL.
    • Includes 15 Courses
    • With Certificate
    • Beginner Friendly.
      55 hours
  18. Level up in financial analytics by learning Python to process, analyze, and visualize financial data.
    • Includes 6 Courses
    • With Certificate
    • Beginner Friendly.
      26 hours
  19. Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
    • Beginner Friendly.
      4 hours
  20. Prepare for the PL-300 Power BI Data Analyst exam by exploring data modeling, transformation, visualizations, DAX, filters, and advanced analytics with Power BI.
    • Includes 18 Courses
    • Intermediate.
      27 hours
  21. Build the mathematical skills you need to work in data science.
    • Includes 8 Courses
    • With Certificate
    • Beginner Friendly.
      12 hours
  22. See how big data is used across different industries and learn how to work with big data using PySpark!
    • Beginner Friendly.
      4 hours
  23. Level up your data storytelling skills by learning how to create dashboards and visualizations in Tableau.
    • Beginner Friendly.
      1 hour
  24. Turn pandas DataFrames into publication-ready visualizations using Seaborn.
    • Beginner Friendly.
      2 hours
1 - 24 of 250 results
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