Description
Practical Time Series Analysis is a training course on time series analysis. Many of us are random data analysts. We are trained in science, business or engineering, and now find ourselves in a situation where we have data that we have had no formal training to analyze. This course is intended for people with little technical knowledge who wish to familiarize themselves with this method of analysis.
In practical time series analysis, we will look at data sets that represent sequential information such as crop prices, annual rainfall, sunspot activity, and crop prices. We will also look at mathematical models that can be used to describe the process and generate this type of data. Next, we look at graphical representations that provide insight into our data. Eventually, we will learn how to make relevant predictions for smart cases and likely to occur in the future.
Skills you will learn in hands-on time series analysis:
- Predict time series
- Time series
- Time series models
Course details:
Publisher: Coursera
Instructor: Toural Sadigov and William Thistleton
French language
Average level
Duration: Approximately 26 hours to complete the course
Practical time series analysis:
WEEK 1
WEEK 1: Basic Stats
WEEK 2
Week 2: Visualize time series and start modeling time series
WEEK 3
Week 3: Stationarity process, MA (q) and AR (p)
WEEK 4
Week 4: AR(p) process, Yule-Walker equations, PACF
WEEK 5
Week 5: Akaike Information Criterion (AIC), mixed models, integrated models
WEEK 6
Week 6: Seasonality, SARIMA, Forecasts
Course prerequisites:
Pictures
Examples of videos:
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download link
File password(s): ngaur.com
Cut
925 MB