Udemy - Data Analysis With Pandas And NumPy In Python

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 1.4 GB
  • Uploaded By freecoursewb
  • Downloads 164
  • Last checked 2 hours ago
  • Date uploaded 3 days ago
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Infohash : 659264BFBD36835EB9137330619C88AE89DE3A7F



Data Analysis With Pandas And NumPy In Python

https://WebToolTip.com

Last updated 8/2024
Created by Dr Ziad Francis
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 53 Lectures ( 4h 46m ) | Size: 1.4 GB

NumPy and Pandas for Data Analysis and Financial Applications, Examples in Trading Market Analysis

What you'll learn
Data manipulation: working with data, filter, sort, and transform large datasets
Data analysis: perform a wide range of data analysis tasks, including aggregating data, performing statistical calculations
Data visualization: create a variety of visualizations to help understand data and communicate findings
Data wrangling: cleaning and preparing data for analysis, handling missing data, merge datasets, and reshape data

Requirements
Python basics, for loops, condition statements, python containers; lists, sets, tuples and dictionnaries.

Files:

[ WebToolTip.com ] Udemy - Data Analysis With Pandas And NumPy In Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.en_GB.srt (2.3 KB)
    • 1. Introduction.mp4 (14.3 MB)
    • 1. Introduction_Resource_Lesson 1 pdf.pdf (100.1 KB)
    10 - Pandas Exercises
    • 47. Pandas Exercises.html (0.2 KB)
    • 47. Pandas Exercises_Resource_01 Pandas Exercises pdf.pdf (309.6 KB)
    • 47. Pandas Exercises_Resource_EURUSD FOREX csv.csv (470.1 KB)
    • 47. Pandas Exercises_Resource_oil spill csv.csv (225.5 KB)
    • 48. Exercise 1 Financial Data Analysis.en_GB.srt (9.7 KB)
    • 48. Exercise 1 Financial Data Analysis.mp4 (92.2 MB)
    • 48. Exercise 1 Financial Data Analysis_Resource_Pandas 01 ipynb.bin (1.3 KB)
    • 49. Exercise 2 Stacked BarPlots In Pandas.en_GB.srt (6.5 KB)
    • 49. Exercise 2 Stacked BarPlots In Pandas.mp4 (49.1 MB)
    • 49. Exercise 2 Stacked BarPlots In Pandas_Resource_Pandas 02 ipynb.bin (13.2 KB)
    • 50. Exercise 3 Dinner With Friends.en_GB.srt (13.7 KB)
    • 50. Exercise 3 Dinner With Friends.mp4 (60.0 MB)
    • 50. Exercise 3 Dinner With Friends_Resource_Pandas 03 ipynb.bin (55.3 KB)
    • 51. Exercise 4 Oil spill in water Data cleaning example.en_GB.srt (10.0 KB)
    • 51. Exercise 4 Oil spill in water Data cleaning example.mp4 (94.0 MB)
    • 51. Exercise 4 Oil spill in water Data cleaning example_Resource_oil spill csv.csv (225.5 KB)
    • 51. Exercise 4 Oil spill in water Data cleaning example_Resource_oil spill ipynb.bin (3.7 KB)
    • 52. Exercise 5 Financial Trading Analysis Prediction.en_GB.srt (18.6 KB)
    • 52. Exercise 5 Financial Trading Analysis Prediction.mp4 (154.4 MB)
    • 52. Exercise 5 Financial Trading Analysis Prediction_Resource_02 EURUSD Analysis ipynb.bin (63.2 KB)
    • 52. Exercise 5 Financial Trading Analysis Prediction_Resource_EURUSD FOREX csv.csv (470.1 KB)
    • 53. Exercise 6 Financial Trading analyzing the engulfing candles.en_GB.srt (11.0 KB)
    • 53. Exercise 6 Financial Trading analyzing the engulfing candles.mp4 (75.4 MB)
    • 53. Exercise 6 Financial Trading analyzing the engulfing candles_Resource_02 EURUSD Analysis ipynb.bin (63.2 KB)
    • 53. Exercise 6 Financial Trading analyzing the engulfing candles_Resource_EURUSD FOREX csv.csv (470.1 KB)
    2 - NumPy or Numerical Python
    • 10. NumPy Logical Operations.en_GB.srt (5.5 KB)
    • 10. NumPy Logical Operations.mp4 (12.3 MB)
    • 11. NumPy Array Broadcasting.en_GB.srt (4.4 KB)
    • 11. NumPy Array Broadcasting.mp4 (7.8 MB)
    • 12. NumPy Conditional Indexing.en_GB.srt (6.1 KB)
    • 12. NumPy Conditional Indexing.mp4 (9.1 MB)
    • 2. NumPy Installation.en_GB.srt (4.4 KB)
    • 2. NumPy Installation.mp4 (14.5 MB)
    • 3. NumPy Basic Functions.en_GB.srt (10.2 KB)
    • 3. NumPy Basic Functions.mp4 (28.9 MB)
    • 4. NumPy Slicing.en_GB.srt (8.8 KB)
    • 4. NumPy Slicing.mp4 (14.2 MB)
    • 5. NumPy Multidimentional Arrays.en_GB.srt (5.4 KB)
    • 5. NumPy Multidimentional Arrays.mp4 (9.8 MB)
    • 6. NumPy DTypes.en_GB.srt (4.3 KB)
    • 6. NumPy DTypes.mp4 (11.0 MB)
    • 7. NumPy Structured Arrays.en_GB.srt (5.7 KB)
    • 7. NumPy Structured Arrays.mp4 (8.6 MB)
    • 8. NumPy Reading And Writing Data Files.en_GB.srt (10.2 KB)
    • 8. NumPy Reading And Writing Data Files.mp4 (14.9 MB)
    • 9. NumPy Arithmetic Operations.en_GB.srt (4.6 KB)
    • 9. NumPy Arithmetic Operations.mp4 (6.0 MB)
    3 - NumPy Exercises
    • 13. Exercises And Solutions.html (0.2 KB)
    • 13. Exercises And Solutions_Resource_NumPy Exercises ipynb.bin (25.1 KB)
    • 13. Exercises And Solutions_Resource_Numpy Practice pdf.pdf (144.2 KB)
    • 14. Exercise 1.en_GB.srt (7.7 KB)
    • 14. Exercise 1.mp4 (18.4 MB)
    • 15. Exercise 2.en_GB.srt (6.2 KB)
    • 15. Exercise 2.mp4 (39.4 MB)
    • 16. Exercise 3.en_GB.srt (3.0 KB)
    • 16. Exercise 3.mp4 (12.6 MB)
    • 17. Exercise 4.en_GB.srt (7.1 KB)
    • 17. Exercise 4.mp4 (77.4 MB)
    • 18. Exercise 5.en_GB.srt (5.6 KB)
    • 18. Exercise 5.mp4 (16.9 MB)
    • 19. Exercise 6.en_GB.srt (5.2 KB)
    • 19. Exercise 6.mp4 (30.0 MB)
    4 - Data Structure in Pandas
    • 20. Pandas Series.en_GB.srt (9.3 KB)
    • 20. Pandas Series.mp4 (43.1 MB)
    • 21. Series Missing Values.en_GB.srt (3.7 KB)
    • 21. Series Missing Values.mp4 (5.6 MB)
    • 22. Applying Functions to Series.en_GB.srt (2.3 KB)
    • 22. Applying Functions to Series.mp4 (3.5 MB)
    • 23. Pandas DataFrames.en_GB.srt (8.2 KB)
    • 23. Pandas DataFrames.mp4 (14.2 MB)
    5 - DataFrame Manipulation
    • 24. Columns And Indexes In Pandas.en_GB.srt (7.6 KB)
    • 24. Columns And Indexes In Pandas.mp4 (45.2 MB)
    • 25. Accessing DataFrames With Loc[] and iLoc[].en_GB.srt (15.8 KB)
    • 25. Accessing DataFrames With Loc[] and iLoc[].mp4 (72.0 MB)
    • 26. Accessing Scalars Values In DataFrames at[] And iat[].en_GB.srt (3.6 KB)
    • 26. Accessing Scalars Values In DataFrames at[] And iat[].mp4 (9.7 MB)
    • 27. Filling And Replacing Values In DataFrames.en_GB.srt (5.9 KB)
    • 27. Filling And Replacing Values In DataFrames.mp4 (26.7 MB)
    • 28. Arithmetic Operations On DataFrames.en_GB.srt (5.7 KB)
    • 28. Arithmetic Operations On DataFrames.mp4 (16.6 MB)
    • 29. Concatenating DataFrames.en_GB.srt (3.5 KB)
    • 29. Concatenating DataFrames.mp4 (22.1 MB)
    • 30. Merging And Joining DataFrames.en_GB.srt (7.5 KB)
    • 30. Merging And Joining DataFrames.mp4 (20.8 MB)
    6 - Advanced Pandas Function
    • 31. Recap And Planning This Lesson.en_GB.srt (1.3 KB)
    • 31. Recap And Planning This Lesson.mp4 (5.5 MB)
    • 32. Pivot Tables.en_GB.srt (7.9 KB)
    • 32. Pivot Tables.mp4 (43.2 MB)
    • 33. GroupBy In DataFrames.en_GB.srt (3.6 KB)
    • 33. GroupBy In DataFrames.mp4 (13.1 MB)
    • 34. Binning Values And The Cut Function.en_GB.srt (5.7 KB)
    • 34. Binning Values And The Cut Function.mp4 (18.0 MB)
    • 35. MultiLevel Indexing In DataFrames.en_GB.srt (5.4 KB)
    • 35. MultiLevel Indexing In DataFrames.mp4 (16.0 MB)
    • 36. Filling Missing Values.en_GB.srt (8.7 KB)
    • 36. Filling Missing Values.mp4 (30.4 MB)
    7 - Time and Time Series in Pandas
    • 37. Date Time In Python.en_GB.srt (6.0 KB)
    • 37. Date Time In Python.mp4 (10.9 MB)
    • 38. Time Zones And Time Deltas In Python.en_GB.srt (5.8 KB)
    • 38. Time Zones And Time Deltas In Python.mp4 (19.2 MB)
    • 39. Rolling And Shift Functions.en_GB.srt (5.6 KB)
    • 39. Rolling And Shift Functions.mp4 (11.5 MB)
    8 - Reading and Writing Data with Pandas
    • 40. Reading And Writing Files With Pandas.en_GB.srt (3.7 KB)
    • 40. Reading And Writing Files With Pandas.mp4 (6.0 MB)
    9 - Data Visualization with Pandas
    • 41. Plotting Graphs Bars And Histograms.en_GB.srt (11.3 KB)
    • 41. Plotting Graphs Bars And Histograms.mp4 (54.8 MB)
    • 42. Boxplots.en_GB.srt (5.3 KB)
    • 42. Boxplots.mp4 (11.4 MB)
    • 43. Area Plots.en_GB.srt (2.3 KB)
    • 43. Area Plots.mp4 (4.4 MB)
    • 44. Scatter Points.en_GB.srt (3.9 KB)
    • 44. Scatter Points.mp4 (9.1 MB)
    • 45. Pie Charts.en_GB.srt (4.2 KB)
    • 45. Pie Charts.mp4 (16.4 MB)
    • 46. Conclusion.en_GB.srt (0.9 KB)
    • 46. Conclusion.mp4 (1.0 MB)
    • Bonus Resources.txt (0.1 KB)

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