TeamTreehouse - Beginning Data Science (Track) [Thomas]


File Information

File Size:   3.59 GB
Creat Time:   2024-06-30
Active Degree:   33
Last Active:   2024-11-10
Magnet Link:    Magnet LinkMagnet Link
Tags:    TeamTreehouse - Beginning Data Science Track Thomas
Statement:   This site does not provide download links, only text displays, and does not contain any infringement.

File List

  1. 12. Introduction to NumPy/03. Array Programming/01. New Way of Thinking.webm 56.55 MB
  2. 12. Introduction to NumPy/02. Array Organization/01. Indexing.webm 50.16 MB
  3. 12. Introduction to NumPy/01. Meet NumPy/01. Welcome.webm 47.41 MB
  4. 12. Introduction to NumPy/02. Array Organization/02. Boolean Array Indexing.webm 46.45 MB
  5. 12. Introduction to NumPy/02. Array Organization/04. Manipulation.webm 44.50 MB
  6. 12. Introduction to NumPy/03. Array Programming/02. Universal Functions.webm 43.97 MB
  7. 19. Introduction to Big Data/01. What is Big Data/04. Exploring Our New Problems.webm 42.32 MB
  8. 13. Introduction to pandas/0. Meet pandas/0.Welcome.webm 40.71 MB
  9. 12. Introduction to NumPy/03. Array Programming/04. Plotting.webm 39.67 MB
  10. 12. Introduction to NumPy/03. Array Programming/03. Routines in Action.webm 39.38 MB
  11. 12. Introduction to NumPy/01. Meet NumPy/03. Introducing Arrays.webm 39.38 MB
  12. 17. Scraping Data From the Web/02. A World Full of Spiders/04. The Endless Web.webm 39.29 MB
  13. 01. Data Analysis Basics/01. Introducing Data Analysis/04. Getting Good Data is Hard.webm 38.47 MB
  14. 02. Python Basics/01. Meet Python/01. Welcome.webm 36.73 MB
  15. 14. Preparing Data for Analysis/02. Data Cleaning/01. Cleaning A Spreadsheet.webm 36.23 MB
  16. 12. Introduction to NumPy/01. Meet NumPy/05. Multidimensional Arrays.webm 36.17 MB
  17. 19. Introduction to Big Data/02. Where and How is Big Data Used/03. Domain Data Storage.webm 35.41 MB
  18. 18. Data from APIs/01. Accessing an API with Python.webm 33.06 MB
  19. 03. Introducing Lists/01. Meet Lists/04. Indexing.webm 32.33 MB
  20. 08. Object-Oriented Python/01. Instant Objects/05. Design.webm 32.28 MB
  21. 08. Object-Oriented Python/02. Inheritance/03. Multiple Superclasses.webm 32.02 MB
  22. 17. Scraping Data From the Web/01. Introducing Data Scraping/05. Being a Good Citizen.webm 31.91 MB
  23. 17. Scraping Data From the Web/01. Introducing Data Scraping/01. What is Data Scraping.webm 31.75 MB
  24. 01. Data Analysis Basics/03. The Data Analysis Process/04. Presenting Your Findings.webm 31.10 MB
  25. 02. Python Basics/03. Functions and Looping/01. Functions.webm 31.01 MB
  26. 08. Object-Oriented Python/01. Instant Objects/01. What Are Objects And Classes.webm 30.68 MB
  27. 19. Introduction to Big Data/03. Big Data at Netflix/01. What Problems Does Netflix Have.webm 30.19 MB
  28. 20. Machine Learning Basics/01. Introduction to Machine Learning/02. Supervised and Unsupervised Learning.webm 30.10 MB
  29. 19. Introduction to Big Data/02. Where and How is Big Data Used/04. Domain Computations.webm 30.01 MB
  30. 12. Introduction to NumPy/01. Meet NumPy/04. Creating the Study Log.webm 29.81 MB
  31. 01. Data Analysis Basics/03. The Data Analysis Process/01. Understanding Metrics.webm 29.42 MB
  32. 08. Object-Oriented Python/03. Advanced Objects/04. Subclassing Built-ins.webm 29.15 MB
  33. 12. Introduction to NumPy/02. Array Organization/03. Slicing.webm 28.88 MB
  34. 17. Scraping Data From the Web/02. A World Full of Spiders/01. Everyone Loves Charlotte.webm 28.56 MB
  35. 19. Introduction to Big Data/03. Big Data at Netflix/03. Wrapping Up.webm 28.30 MB
  36. 17. Scraping Data From the Web/01. Introducing Data Scraping/03. Beautiful Soup.webm 27.83 MB
  37. 02. Python Basics/02. Types and Branching/01. Numeric.webm 27.71 MB
  38. 02. Python Basics/01. Meet Python/07. Input and Coding Style.webm 26.45 MB
  39. 01. Data Analysis Basics/01. Introducing Data Analysis/02. Data is Everywhere.webm 26.44 MB
  40. 18. Data from APIs/03. Calling the API.webm 26.08 MB
  41. 02. Python Basics/02. Types and Branching/06. Comparisons.webm 26.03 MB
  42. 11. Jupyter Notebooks/03. Graphs and Charts.webm 25.92 MB
  43. 02. Python Basics/03. Functions and Looping/02. Returning Values.webm 25.41 MB
  44. 02. Python Basics/03. Functions and Looping/05. While Loops.webm 25.20 MB
  45. 14. Preparing Data for Analysis/02. Data Cleaning/04. Cleaning A CSV Part 2.webm 24.98 MB
  46. 08. Object-Oriented Python/03. Advanced Objects/03. Emulating Built-ins.webm 24.82 MB
  47. 14. Preparing Data for Analysis/02. Data Cleaning/05. Cleaning A CSV Part 3.webm 24.54 MB
  48. 14. Preparing Data for Analysis/02. Data Cleaning/06. Cleaning A CSV Part 4.webm 24.23 MB
  49. 17. Scraping Data From the Web/01. Introducing Data Scraping/04. More Soup in the Tureen.webm 24.13 MB
  50. 02. Python Basics/01. Meet Python/04. Syntax and Errors.webm 23.61 MB

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