Practical Time Series Analysis – Coursera

Practical Time Series Analysis

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

Download the course – 952 MB

Password file(s): www.downloadly.ir

Size

925 MB

4.8/5 – (2890 points)

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