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Learn all the skills you need to land a new career in tech.
 
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  1. Work hands-on with real datasets while learning Python for data science.
    • Beginner Friendly.
      7 hours
  2. Get started with Python for Data Science in this beginner-friendly skill path.
    • Includes 5 Courses
    • With Certificate
    • Beginner Friendly.
      16 hours
  3. Build the basic language models in Python.
    • Intermediate.
      4 hours
  4. Learn loops, control flow, and functions while working hands-on to merge, aggregate, and analyze real-world datasets.
    • Beginner Friendly.
      9 hours
  5. Learn to clean, analyze, and visualize data with Python and SQL.
    • Includes 15 Courses
    • With Certificate
    • Beginner Friendly.
      55 hours
  6. Level up in financial analytics by learning Python to process, analyze, and visualize financial data.
    • Includes 6 Courses
    • With Certificate
    • Beginner Friendly.
      26 hours
  7. Learn to analyze and visualize data using Python and statistics.
    • Includes 8 Courses
    • With Certificate
    • Intermediate.
      13 hours
  8. Learn the basics of regular expressions and how to pull and clean data from the web with Python.
    • With Certificate
    • Intermediate.
      3 hours
  9. Learn to make effective data visualizations in Python with Matplotlib and Seaborn.
    • Includes 6 Courses
    • With Certificate
    • Beginner Friendly.
      8 hours
  10. Learn how and when to tackle missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques.
    • With Certificate
    • Beginner Friendly.
      1 hour
  11. Create data visualizations of traffic data from the last two decades and model the relationship between smartphones and collision rates.
    • Beginner Friendly.
      1 hour
  12. 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
  13. 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
  14. Learn how to use Matplotlib to clarify your data with meaningful charts and other data visualizations.
    • Beginner Friendly.
      3 hours
  15. Learn how to use exploratory data analysis (EDA) techniques in Python to evaluate, summarize, and visualize your data.
    • With Certificate
    • Beginner Friendly.
      6 hours
  16. Learn advanced algorithms and data structures to improve your developer skills!
    • With Certificate
    • Advanced.
      6 hours
  17. Turn pandas DataFrames into publication-ready visualizations using Seaborn.
    • Beginner Friendly.
      2 hours
  18. Master Django views and models using generative AI. Incorporate dynamic content, Bootstrap theming, and SQLite database integration for robust web apps.
    • Intermediate.
      2 hours
  19. Learn good design principles for telling a visual story with data using Matplotlib.
    • Beginner Friendly.
      2 hours
  20. Learn how to use tries and binary indexed trees for efficient search implementations.
    • Advanced.
      1 hour
  21. Explore GPT models in the OpenAI Playground. Experiment with parameters to fine-tune responses and learn how to utilize multiple APIs, including chat completions and assistant APIs.
    • Beginner Friendly.
      2 hours
  22. Learn how to leverage the power of double-ended queues (deques) in Python.
    • Advanced.
      < 1 hour
  23. Looking for an introduction to the theory behind programming? Master Python while learning data structures, algorithms, and more!
    • Includes 6 Courses
    • With Professional Certification
    • Beginner Friendly.
      75 hours
  24. Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
    • With Certificate
    • Intermediate.
      6 hours
1 - 24 of 115 results
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