Udemy - The Complete Data Analyst Bootcamp From Basics To Advanced (5.2025)


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File Size:   6.40 GB
Creat Time:   2025-08-08
Active Degree:   1
Last Active:   2025-08-08
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File List

  1. 11 - How To Analyse With The Part of Real Life Projects/99 - Project2 Solution.mp4 177.23 MB
  2. 3 - PandasData Structures/15 - Practice Part 01 Solution.mp4 165.42 MB
  3. 11 - How To Analyse With The Part of Real Life Projects/96 - Project1 Solution Part 1.mp4 159.77 MB
  4. 7 - Data Cleaning And Preparation/53 - How To Descretize And Bin The Data Part 1.mp4 157.89 MB
  5. 6 - Data Handling/39 - How To Read The Csv Files Part 1.mp4 144.00 MB
  6. 8 - Data Wrangling/68 - How To Merge The Pandas Objects.mp4 138.46 MB
  7. 7 - Data Cleaning And Preparation/62 - PracticePart05 Solution.mp4 137.92 MB
  8. 7 - Data Cleaning And Preparation/59 - Using Regular Expressions.mp4 129.32 MB
  9. 6 - Data Handling/45 - PracticePart04 Solution.mp4 128.76 MB
  10. 5 - Essential Functionalities/37 - PracticePart03 Solution.mp4 127.06 MB
  11. 8 - Data Wrangling/70 - How To Concatenate Along An Axis.mp4 126.00 MB
  12. 11 - How To Analyse With The Part of Real Life Projects/97 - Project1 Solution Part 2.mp4 123.40 MB
  13. 11 - How To Analyse With The Part of Real Life Projects/102 - Project3 Solution Part 2.mp4 121.04 MB
  14. 6 - Data Handling/40 - How To Read The Csv Files Part 2.mp4 109.11 MB
  15. 11 - How To Analyse With The Part of Real Life Projects/101 - Project3 Solution Part 1.mp4 107.70 MB
  16. 10 - Time Series Analysis/93 - PracticePart08 Solution.mp4 106.52 MB
  17. 9 - Data Grouping And Aggregation/83 - PracticePart07 Solution.mp4 103.50 MB
  18. 9 - Data Grouping And Aggregation/76 - Groupby Operation.mp4 102.31 MB
  19. 4 - Data Indexing And Selection/24 - Practice Part 02 Solution.mp4 95.45 MB
  20. 10 - Time Series Analysis/86 - How To Convert Between String And Datetime.mp4 95.00 MB
  21. 2 - Pandas Building Blocks/9 - How To Read The Documentation In Pandas.mp4 93.85 MB
  22. 5 - Essential Functionalities/32 - How To Sort And Rank In Pandas.mp4 92.23 MB
  23. 5 - Essential Functionalities/29 - Arithmetic Methods With Fill Values.mp4 91.21 MB
  24. 8 - Data Wrangling/69 - Merging On Row Index.mp4 88.89 MB
  25. 10 - Time Series Analysis/88 - Date Ranges Frequencies And Shifting.mp4 88.67 MB
  26. 10 - Time Series Analysis/87 - Time Series Basics With Pandas Objects.mp4 85.15 MB
  27. 1 - Getting Started/6 - How To Work With The Jupyter Notebook Part1.mp4 77.99 MB
  28. 5 - Essential Functionalities/26 - How To Reindex Pandas Objects.mp4 77.37 MB
  29. 3 - PandasData Structures/13 - How To Construct The Pandas Index Objects.mp4 75.66 MB
  30. 7 - Data Cleaning And Preparation/46 - Theory On Data Preprocessing.mp4 75.66 MB
  31. 7 - Data Cleaning And Preparation/58 - How To Manipulate With Strings.mp4 75.24 MB
  32. 4 - Data Indexing And Selection/19 - Indexers Loc And Iloc In Series.mp4 75.05 MB
  33. 9 - Data Grouping And Aggregation/81 - Data Aggregation.mp4 74.70 MB
  34. 10 - Time Series Analysis/89 - Date Ranges Frequencies And Shifting Part 2.mp4 73.95 MB
  35. 6 - Data Handling/42 - How To Export Data In Text Format.mp4 73.56 MB
  36. 3 - PandasData Structures/12 - How To Construct The DataFrame Objects.mp4 71.41 MB
  37. 5 - Essential Functionalities/35 - Unique Values Value Counts And Membership.mp4 71.35 MB
  38. 1 - Getting Started/5 - How To Install Anaconda For macOS And Linux Users.mp4 70.71 MB
  39. 7 - Data Cleaning And Preparation/50 - How To Remove Duplicate Rows And Values.mp4 70.32 MB
  40. 1 - Getting Started/7 - How To Work With The Jupyter Notebook Part2.mp4 66.50 MB
  41. 4 - Data Indexing And Selection/22 - Accessing Values Using Loc Iloc And Ix In DataFrame Objects.mp4 66.33 MB
  42. 10 - Time Series Analysis/91 - Periods And Period Arithmetics.mp4 66.15 MB
  43. 6 - Data Handling/43 - How To Use Pythons Csv Module.mp4 62.72 MB
  44. 7 - Data Cleaning And Preparation/56 - Converting The Categorical Variables Into Dummy Variables.mp4 62.00 MB
  45. 1 - Getting Started/4 - How To Install Python IPython And Jupyter Notebook.mp4 61.96 MB
  46. 3 - PandasData Structures/11 - How To Construct The Pandas Series.mp4 61.56 MB
  47. 5 - Essential Functionalities/25 - Theory On Essential Functionalities.mp4 60.68 MB
  48. 10 - Time Series Analysis/90 - Time Zone Handling.mp4 60.30 MB
  49. 10 - Time Series Analysis/85 - Introduction To Time Series Data Types.mp4 59.84 MB
  50. 7 - Data Cleaning And Preparation/49 - How To Filter The Missing Values Part 2.mp4 58.54 MB