Udemy - Time Series Analysis in Python 2020
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size2.9 GB
- Uploaded ByFcw007
- Downloads182
- Last checkedMar. 07th '20
- Date uploadedMar. 06th '20
- Seeders 11
- Leechers11
Infohash : E5730A4E97EE9E4A61965692603B2A204148F817
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.
Created by 365 Careers
Last updated 1/2020
English
English [Auto-generated]
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Files:
[FreeCourseWorld.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)
- 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)
- 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)
- 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)
- 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)
- 032 Picking the Correct Model.en.srt (3.3 KB)
- 032 Picking the Correct Model.mp4 (23.0 MB)
- 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)
- 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)
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