Practical Time Series Analysis

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!

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

Coursera

&

The State University of New York

Rating 4.5 based on 32 ratings
Length 7 weeks
Starts Feb 4 (next week)
Cost $49
From The State University of New York via Coursera
Instructors Tural Sadigov, William Thistleton
Free Limited Content
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

Get a Reminder

Get an email reminder about this course

Send to:

What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

introduction to time in 7 reviews

A complete introduction to Time Series, with a very good documentation.

Very good introduction to Time Series with R. Emphases on concepts rather than on dry math, but also precise as needed.

Great introduction to time series with plenty of depth.

time series analysis in 6 reviews

The code meets its objective of teaching practical time series analysis.

It is a smooth introduction to time series analysis, very well explained and guided through multiple examples.

Great instructors !....Especially Dr Sadigov... Will prove very useful to me to analyze and forecast medical and public health time series :-) Very nice and pedagogical introduction to time series analysis.

This is a great course that provides strong introduction to time series analysis and forecasting.

I have found the mathematical formulations in time series analysis very useful.

Highly recommended Practical Time Series Analysis help me understand more advanced statistical techniques.

If you have some Math background, this course gives a good practical introduction to Time Series Analysis.

very good in 3 reviews

If you want make time serie analysis with R this course will be a very good help.

This is my first approach to R programming, and this course was useful for me to reinforce my statistical skills and to learn R. Contents of the course are very good.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Adjunct Professor of Practical Theology $24k

Licensed Practical NurseRH BG $38k

Practical Examiner $45k

Lecturer in Practical Theology $46k

Licensed Practical or Vocational Nurse $48k

Licensed Practical Nurse Manager $52k

Licensed Practical Nurse Lead $63k

License Practical Nurse Manager $65k

Licensed Practical Nurse. $68k

Supervisor License Practical Nurse $70k

Licensed Practical Nurse (CLINICAL) $72k

Practical Process Improvement Project $99k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

The State University of New York

Rating 4.5 based on 32 ratings
Length 7 weeks
Starts Feb 4 (next week)
Cost $49
From The State University of New York via Coursera
Instructors Tural Sadigov, William Thistleton
Free Limited Content
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics