Udemy - Time Series Analysis in Python 2020 [Latest] [Giga Course]

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[GigaCourse.com] Udemy - Time Series Analysis in Python 2020 01 Introduction
  • 001 What does the course cover.en.srt (6.9 KB)
  • 001 What does the course cover.mp4 (47.3 MB)
02 Setting Up the Environment
  • 002 Setting up the environment - Do not skip please.en.srt (1.3 KB)
  • 002 Setting up the environment - Do not skip please.mp4 (6.0 MB)
  • 003 Why Python and Jupyter.en.srt (6.4 KB)
  • 003 Why Python and Jupyter.mp4 (25.2 MB)
  • 004 Installing Anaconda.en.srt (4.7 KB)
  • 004 Installing Anaconda.mp4 (26.6 MB)
  • 005 Jupyter Dashboard - Part 1.en.srt (3.3 KB)
  • 005 Jupyter Dashboard - Part 1.mp4 (9.8 MB)
  • 006 Jupyter Dashboard - Part 2.en.srt (6.6 KB)
  • 006 Jupyter Dashboard - Part 2.mp4 (20.0 MB)
  • 007 Installing the Necessary Packages.en.srt (1.9 KB)
  • 007 Installing the Necessary Packages.mp4 (7.8 MB)
  • 008 Installing Packages - Exercise.html (1.2 KB)
  • 009 Installing Packages - Exercise Solution.html (1.5 KB)
03 Introduction to Time Series in Python
  • 010 Introduction to Time-Series Data.en.srt (5.5 KB)
  • 010 Introduction to Time-Series Data.mp4 (47.2 MB)
  • 011 Notation for Time Series Data.en.srt (1.7 KB)
  • 011 Notation for Time Series Data.mp4 (12.2 MB)
  • 012 Peculiarities of Time Series Data.en.srt (3.8 KB)
  • 012 Peculiarities of Time Series Data.mp4 (26.8 MB)
  • 013 IndexE8.csv (290.7 KB)
  • 013 Loading the Data.en.srt (2.7 KB)
  • 013 Loading the Data.mp4 (10.2 MB)
  • 014 Examining the Data.en.srt (6.8 KB)
  • 014 Examining the Data.mp4 (39.8 MB)
  • 015 Plotting the Data.en.srt (6.1 KB)
  • 015 Plotting the Data.mp4 (21.2 MB)
  • 016 The QQ Plot.en.srt (3.4 KB)
  • 016 The QQ Plot.mp4 (16.3 MB)
  • external-assets-links.txt (0.3 KB)
04 Creating a Time Series Object in Python
  • 017 Transforming String inputs into DateTime Values.en.srt (6.1 KB)
  • 017 Transforming String inputs into DateTime Values.mp4 (27.9 MB)
  • 018 Using Date as an Index.en.srt (3.7 KB)
  • 018 Using Date as an Index.mp4 (16.6 MB)
  • 019 Setting the Frequency.en.srt (3.1 KB)
  • 019 Setting the Frequency.mp4 (13.4 MB)
  • 020 Filling Missing Values.en.srt (7.1 KB)
  • 020 Filling Missing Values.mp4 (30.0 MB)
  • 021 Adding and Removing Columns in a Data Frame.en.srt (4.4 KB)
  • 021 Adding and Removing Columns in a Data Frame.mp4 (16.3 MB)
  • 022 Splitting Up the Data.en.srt (5.2 KB)
  • 022 Splitting Up the Data.mp4 (21.0 MB)
  • 023 Appendix Updating the Dataset.html (8.7 KB)
  • 023 Section-4-Appendix-Updating-the-Dataset.pdf (235.5 KB)
  • external-assets-links.txt (0.5 KB)
05 Working with Time Series in Python
  • 024 Warning-Messages.pdf (151.5 KB)
  • 024 White Noise.en.srt (8.1 KB)
  • 024 White Noise.mp4 (46.4 MB)
  • 025 RandWalk.csv (163.9 KB)
  • 025 Random Walk.en.srt (6.4 KB)
  • 025 Random Walk.mp4 (32.4 MB)
  • 026 Stationarity.en.srt (3.1 KB)
  • 026 Stationarity.mp4 (21.6 MB)
  • 027 Determining Weak Form Stationarity.en.srt (7.5 KB)
  • 027 Determining Weak Form Stationarity.mp4 (33.8 MB)
  • 028 Seasonality.en.srt (6.3 KB)
  • 028 Seasonality.mp4 (34.2 MB)
  • 029 Correlation Between Past and Present Values.en.srt (2.2 KB)
  • 029 Correlation Between Past and Present Values.mp4 (14.1 MB)
  • 030 The Autocorrelation Function (ACF).en.srt (7.7 KB)
  • 030 The Autocorrelation Function (ACF).mp4 (30.7 MB)
  • 030 The-ACF.pdf (62.0 KB)
  • 031 The Partial Autocorrelation Function (PACF).en.srt (6.3 KB)
  • 031 The Partial Autocorrelation Function (PACF).mp4 (27.2 MB)
  • 031 The-PACF.pdf (63.6 KB)
  • external-assets-links.txt (0.4 KB)
06 Picking the Correct Model
  • 032 Picking the Correct Model.en.srt (3.3 KB)
  • 032 Picking the Correct Model.mp4 (23.0 MB)
07 Modeling Autoregression The AR Model
  • 033 The Autoregressive (AR) Model.en.srt (6.3 KB)
  • 033 The Autoregressive (AR) Model.mp4 (45.3 MB)
  • 034 Course-Notes-The-AR-Model.pdf (425.3 KB)
  • 034 Examining the ACF and PACF of Prices.en.srt (6.1 KB)
  • 034 Examining the ACF and PACF of Prices.mp4 (33.1 MB)
  • 035 Fitting an AR(1) Model for Index Prices.en.srt (5.9 KB)
  • 035 Fitting an AR(1) Model for Index Prices.mp4 (31.6 MB)
  • 036 Fitting Higher-Lag AR Models for Prices.en.srt (11.5 KB)
  • 036 Fitting Higher-Lag AR Models for Prices.mp4 (63.2 MB)
  • 037 Using Returns Instead of Prices.en.srt (7.5 KB)
  • 037 Using Returns Instead of Prices.mp4 (31.4 MB)
  • 038 Examining the ACF and PACF of Returns.en.srt (2.7 KB)
  • 038 Examining the ACF and PACF of Returns.mp4 (15.7 MB)
  • 039 Fitting an AR(1) Model for Index Returns.en.srt (3.1 KB)
  • 039 Fitting an AR(1) Model for Index Returns.mp4 (13.4 MB)
  • 040 Fitting Higher-Lag AR Models for Returns.en.srt (4.3 KB)
  • 040 Fitting Higher-Lag AR Models for Returns.mp4 (26.9 MB)
  • 041 Normalizing Values.en.srt (6.7 KB)
  • 041 Normalizing Values.mp4 (33.1 MB)
  • 042 Model Selection for Normalized Returns (AR).en.srt (3.1 KB)
  • 042 Model Selection for Normalized Returns (AR).mp4 (19.8 MB)
  • 043 Examining the AR Model Residuals.en.srt (7.0 KB)
  • 043 Examining the AR Model Residuals.mp4 (28.8 MB)
  • 044 Unexpected Shocks from Past Periods.en.srt (2.0 KB)
  • 044 Unexpected Shocks from Past Periods.mp4 (16.8 MB)
  • external-assets-links.txt (0.7 KB)
08 Adjusting to Shocks The MA Model
  • 045 8.1.1-MA-Inf-AR-1.pdf (169.2 KB)
  • 045 8.1.1.AR-Inf-MA-1.pdf (166.5 KB)
  • 045 The Moving Average (MA) Model.en.srt (6.5 KB)
  • 045 The Moving Average (MA) Model.mp4 (29.5 MB)
  • 046 Course-Notes-The-MA-Model.pdf (136.0 KB)
  • 046 Fitting an MA(1) Model for Returns.en.srt (4.9 KB)
  • 046 Fitting an MA(1) Model for Returns.mp4 (21.5 MB)

Description

Udemy - Time Series Analysis in Python 2020

How does a commercial bank forecast the expected performance of their loan portfolio?

Or how does an investment manager estimate a stock portfolio’s risk?

Which are the quantitative methods used to predict real-estate properties?

If there is some time dependency, then you know it - the answer is: time series analysis.

This course will teach you the practical skills that would allow you to land a job as a quantitative finance analyst, a data analyst or a data scientist.

In no time, you will acquire the fundamental skills that will enable you to perform complicated time series analysis directly applicable in practice. We have created a time series course that is not only timeless

For more Udemy Courses: https://gigacourse.com



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Udemy - Time Series Analysis in Python 2020 [Latest] [Giga Course]

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Download torrent
2.9 GB
seeders:11
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Udemy - Time Series Analysis in Python 2020 [Latest] [Giga Course]

Torrent hash: 1AA7E503BBA9349536A41313F7380FBB97C82E75