Description
Practical Time Series Analysis is a time series analysis training course. Many of us are random data analysts. We are trained in science, business, or engineering, and now we find ourselves faced with data that we have had no formal training to analyze. This course is suitable for people with little technical knowledge who want to learn more about this analysis method.
In the practical analysis of time series, we will take a look at datasets that represent sequential information such as product prices, annual rainfall, sunspot activity, and agricultural product prices. We will also be introduced to the mathematical models that may be used to describe the process and generate this type of data. Then we will take a look at the graphical presentations that represent the insight of our data. Finally, we will learn how to make predictions related to intelligent things that may happen in the future.
Skills you will learn in the Practical Time Series Analysis course:
- Time series forecasting
- Time series
- Time series models
Course details:
Publisher: Coursera
teacher: Tural Sadigov And William Thistleton
English language
Education level: Intermediate
Duration: About 26 hours to complete the course
Headlines of the Practical Time Series Analysis course:
WEEK 1
WEEK 1: Basic Statistics
WEEK 2
Week 2: Visualizing Time Series, and Beginning to Model Time Series
WEEK 3
Week 3: Stationarity, MA(q) and AR(p) processes
WEEK 4
Week 4: AR(p) processes, Yule-Walker equations, PACF
WEEK 5
Week 5: Akaike Information Criterion (AIC), Mixed Models, Integrated Models
WEEK 6
Week 6: Seasonality, SARIMA, Forecasting
Course prerequisites:
Pictures
Sample video:
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
925 MB
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