[Coursera] Practical Time Series Analysis
About this Course
Welcome to Practical Time Series Analysis!
Many of us are “accidental” data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a “cookbook” approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more. We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future. Please take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn. You can discuss material from the course with your fellow learners. Please take a moment to introduce yourself! Time Series Analysis can take effort to learn- we have tried to present those ideas that are “mission critical” in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!
SKILLS YOU WILL GAIN
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 in a situation where we have data that we have not received any formal training to analyze. This course is suitable for people with little technical knowledge who want to become more familiar with this method of analysis.
In the practical analysis of time series, we will look at datasets that represent sequential information such as crop prices, annual rainfall, sunspot activity, and crop prices. We will also look at mathematical models that may be used to describe the process and generate this type of data. Then we take a look at graphical representations that show insights into our data. Eventually we will learn how to make predictions that are relevant to smart cases and may occur in the future.
Skills you will learn in Practical Time Series Analysis:
- Predicting time series
- Time series
- Time series models
Size: 2.78 GB