Udemy - Python for Time Series - Data Analysis and Forecasting
- Category Other
- Type Tutorials
- Language English
- Total size 273.2 MB
- Uploaded By freecoursewb
- Downloads 293
- Last checked 5 days ago
- Date uploaded 3 years ago
- Seeders 10
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Infohash : 8FE2613A2BB3B1976A0A6309A4FF4844A84E06D7
Python for Time Series - Data Analysis & Forecasting 
https://DevCourseWeb.com
Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 29 lectures (1h 15m) | Size: 273.3 MB
Learn Python for Time Series - Learn Python libraries for Time Series analysis and forecasting
What you'll learn
Repeat the Statistics and Python fundamentals
Learn building an ARIMA model in Python
Learn the application of Dickey - Fuller test in Python
Learn checking for seasonality in Python
Description
Welcome to the Python for Time Series - Data Analysis & Forecasting course. This course is built for students who wants to learn python applications for time series data sets. This course covers the usage of Python libraries on time series data. There will be both short lectures of statistics and Python fundamentals at the starting of the course in order to remembering the basics. Then the libraries of Python which is used for time series data will be covered. At the end of the course an analysis and forecast is going to be made from gold prices data set for practicing what is learned in the course for one more time. So the course outline is
Files:
[ DevCourseWeb.com ] Udemy - Python for Time Series - Data Analysis and Forecasting- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Statistics Basics - Fast Repeat
- 1. General concepts.mp4 (6.0 MB)
- 2. Descriptive statistics introduction & Frequency Tables.mp4 (8.3 MB)
- 3. Mean - Mode - Median.mp4 (6.9 MB)
- 4. Mean - Mode - Median Practice.mp4 (16.9 MB)
- 5. Inferential statistics introduction.mp4 (9.4 MB)
- 6. Hypothesis testing and T-Distribution.mp4 (7.1 MB)
- 7. Hypothesis testing and decision.mp4 (4.4 MB)
- 8. Simple Linear Regression.mp4 (9.0 MB)
- 9. Simple Linear Regression practice.mp4 (8.4 MB)
- 1. About this section.html (0.2 KB)
- 10. While loops.mp4 (3.3 MB)
- 2. Print.mp4 (2.8 MB)
- 3. Comments.mp4 (1.8 MB)
- 4. List & List Operations.mp4 (5.0 MB)
- 5. Tuples.mp4 (1.1 MB)
- 6. Booleans.mp4 (1.6 MB)
- 7. Operators.mp4 (3.3 MB)
- 8. If statements.mp4 (4.3 MB)
- 9. For loops.mp4 (2.0 MB)
- 1. Pandas Introduction.mp4 (23.2 MB)
- 2. Pandas Coding Practice.mp4 (7.5 MB)
- 3. Pandas Coding Practice 2.mp4 (8.9 MB)
- 4. Pandas extra codes for time series.mp4 (22.4 MB)
- 1. Checking for seasonality.mp4 (14.3 MB)
- 2. Dickey - Fuller test for stationarity.mp4 (12.1 MB)
- 1. ARIMA.mp4 (26.7 MB)
- 1. Get the data set.html (0.1 KB)
- 2. Gold Prices Data Analysis.mp4 (13.9 MB)
- 3. ARIMA Model.mp4 (42.7 MB)
- data.csv (15.8 KB)
- Bonus Resources.txt (0.4 KB)
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