Description
Time series analysis in Python, name of the series of training videos in the field of business and analysis of temporal data can be. Truly, in this course you learn practical skills to become a converted financial analyst, you will. Students in this course also analyze series of complexes when familiar with the well. Also, this course has somehow provided students with the opportunity to create the best possible and easy-to-understand teaching materials. There are exercises grouped together alongside a host of resources to help you further as well.
You, the students of the course with the various libraries in Python, such as StatsModels, etc. matplotlib etc. Numpy, etc. yfinance., the ARCH, etc. pmdarima work etc. Also during this period you will be taught the most useful skills. You attend the training of this course of exercises and solutions provided that can allow you to reach a very high level of analysis, the field of data. This course for programming beginners and those interested in finance and design is published.
Cases in which the course is taught:
- Understand the difference between cross-sectional data time series data
- Learn basic skills and principles of time series data
- Understand and learn to use data in real projects
- Learning python programming skills in the direction of analyzing data
- Learn to work with a variety of libraries, Python is convenient
- Learn to interpret and analyze the data obtained
- And…
Profile Course Time Series Analysis in Python
- French language
- Duration Duration: 7 hours and 20 minutes
- Number of lessons: 95
- Instructor: 365 Careers
- File format: mp4
This course Time Series Analysis in Python
Course content
95 lectures 07:20:44
Introduction
1 conference 04:54
Environment Setup
8 lessons 6:40 p.m.
Introduction to Time Series in Python
7 lessons 23:27
Creating a Time Series Object in Python
7 lessons 28:47
Working with Time Series in Python
8 lessons 38:42
Choose the right model
1 conference 02:32
Modeling autoregression: the AR model
12 lessons 53:57
Adapting to shocks: the MA model
7 lessons 34:06
Past values and past errors: the ARMA model
8 lessons 41:52
Modeling non-stationary data: the ARIMA model
9 lessons 45:30
Measuring volatility: the ARCH model
7 lessons 33:42
An ARMA equivalent of ARCH: the GARCH model
5 lessons 13:39
ARIMA automatic
6 lessons 27:35
Forecast
8 lessons 45:34
business case
1 lecture 27:47
Prerequisite Time Series Analysis in Python
- No previous experience with time series is required.
- You will need to install Anaconda. We’ll show you how to do it step by step.
- Some general understanding of coding languages is preferred, but not required.
Pictures
sample movie
Installation guide
After extracting with the player, your custom view.
Subtitles: English
Quality: 720p
Download link
Password file(s): ngaur.com
File size
2.76 GB