Udemy - Econometrics with Python

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Udemy - Econometrics with Python (Size: 2.5 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Introduction.mp4 6.3 MB
  10 - Times Series Econometrics-Basics
  11 - Time Series -ARIMA
  12 - Time Series VAR
  13 - ARCH and GARCH Models
  2 - Python Programming Basics
  3 - Regression Analysis
  4 - Functional Forms and Regression
  10. Log Log Regression.mp4 27.8 MB
  11. Exponential Regression.mp4 22.9 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 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 MB
  27. Autocorrelation Remedies -Differencing.mp4 46.4 MB
  28. Autocorrelation Remedies -Lags of Dependent Variable.mp4 33 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
  8. Log Linear Regression.mp4 33.4 MB
  9. Linear Log Regression.mp4 23.3 MB
  6. Two Variables Regression.mp4 155.2 MB
  7. Multiple Regression.mp4 76 MB
  3. Pandas Basics for Data Analysis.mp4 98 MB
  4. Numpy for Computation.mp4 91.9 MB
  5. Matplotlib-Plotting.mp4 72.4 MB
  44. GARCH Estimation and Forecasting.mp4 63.7 MB
  45. GARCH-Graphical Representation.mp4 44.5 MB
  41. VAR Estimation.mp4 57.8 MB
  42. VAR -IRF.mp4 53.7 MB
  43. VAR-Forecast Error Variance Decomposition.mp4 31.4 MB
  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
  32. Stationary and Non-Stationary Series.mp4 49 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
  2. Downloading Python.mp4 179.2 MB

Description


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

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