Udemy - Econometrics with Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.5 GB
  • Uploaded Byfreecoursewb
  • Downloads107
  • Last checkedApr. 19th '26
  • Date uploadedApr. 18th '26
  • Seeders 12
  • Leechers8

Infohash : 8FC462CB3ED759EFB7EEDA88268950A7D1B6576D

Econometrics with Python

https://WebToolTip.com

Published 4/2026
Created by Sheesh kumar Thakur
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 45 Lectures ( 6h 57m ) | Size: 2.45 GB

Python for Econometrics

What you'll learn
✓ Perform regression on python
✓ Identify and Remove violations of classical linear regression assumptions
✓ Master Time Series Model like ARIMA, VAR, GARCH
✓ Use of econometrics model for forecasting and decision-making

Requirements
● Basic Understanding of Econometrics but not mandatory

Files:

[ WebToolTip.com ] Udemy - Econometrics with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.mp4 (6.3 MB)
    • 2. Downloading Python.mp4 (179.2 MB)
    10 - Times Series Econometrics-Basics
    • 32. Stationary and Non-Stationary Series.mp4 (49.0 MB)
    • 33. Cointegration of Time Series Data.mp4 (53.1 MB)
    • 34. Error Correction Model.mp4 (59.4 MB)
    • 35. Granger Causality Test.mp4 (94.1 MB)
    • 36. ACF And PACF.mp4 (40.4 MB)
    11 - Time Series -ARIMA
    • 37. ARIMA Identification.mp4 (42.1 MB)
    • 38. ARIMA Estimation.mp4 (30.3 MB)
    • 39. ARIMA Forecasting.mp4 (50.3 MB)
    • 40. ARIMA Diagnostic Test.mp4 (39.1 MB)
    12 - Time Series VAR
    • 41. VAR Estimation.mp4 (57.8 MB)
    • 42. VAR -IRF.mp4 (53.7 MB)
    • 43. VAR-Forecast Error Variance Decomposition.mp4 (31.4 MB)
    13 - ARCH and GARCH Models
    • 44. GARCH Estimation and Forecasting.mp4 (63.7 MB)
    • 45. GARCH-Graphical Representation.mp4 (44.5 MB)
    2 - Python Programming Basics
    • 3. Pandas Basics for Data Analysis.mp4 (98.0 MB)
    • 4. Numpy for Computation.mp4 (91.9 MB)
    • 5. Matplotlib-Plotting.mp4 (72.4 MB)
    3 - Regression Analysis
    • 6. Two Variables Regression.mp4 (155.2 MB)
    • 7. Multiple Regression.mp4 (76.0 MB)
    4 - Functional Forms and Regression
    • 10. Log Log Regression.mp4 (27.8 MB)
    • 11. Exponential Regression.mp4 (22.9 MB)
    • 8. Log Linear Regression.mp4 (33.4 MB)
    • 9. Linear Log Regression.mp4 (23.3 MB)
    5 - Dummy Variable and Regression
    • 12. Simple Dummy Variable Regression.mp4 (74.7 MB)
    • 13. Dummy Variable Interaction Regression.mp4 (75.5 MB)
    • 14. Structural Break and Dummy Variable.mp4 (75.5 MB)
    6 - Multicollinearity
    • 15. Multicollinearity Detection.mp4 (72.0 MB)
    • 16. Multicollinearity Remedies- PCA.mp4 (67.7 MB)
    • 17. Multicollinearity Remedies -Adding and Deleting Variable.mp4 (36.4 MB)
    7 - Heteroscedasticity
    • 18. Heteroscedasticity Detection-Graphical Method.mp4 (50.5 MB)
    • 19. Heteroscedasticity Detection-Breusch-pagan Test.mp4 (47.8 MB)
    • 20. Heteroscedasticity Detection-White Test.mp4 (31.8 MB)
    • 21. Heteroscedasticity Remedies -Robust.mp4 (53.6 MB)
    • 22. Heteroscedasticity Remedies -Log Transformation.mp4 (39.5 MB)
    • 23. Heteroscedasticity Remedies-WLS.mp4 (42.5 MB)
    8 - Autocorrelation
    • 24. Autocorrelation Detection-Durbin Watson.mp4 (34.7 MB)
    • 25. Autocorrelation Detection-Breusch Godfrey.mp4 (28.2 MB)
    • 26. Remedies -Newey West (HAC) Error Correction.mp4 (34.0 MB)
    • 27. Autocorrelation Remedies -Differencing.mp4 (46.4 MB)
    • 28. Autocorrelation Remedies -Lags of Dependent Variable.mp4 (33.0 MB)
    • 29. Autocorrelation Remedies -GLS.mp4 (35.1 MB)
    9 - Qualitative Regression Model
    • 30. Logit Regression.mp4 (91.5 MB)
    • 31. Probit Regression.mp4 (43.7 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce