Link to Content:

DataCamp Introduction to Time Series Analysis

Created/Published/Taught by:

DataCamp

David S. Matteson

Lore Dirick

Matt Isaacs

Content Found Via:

DataCamp

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $29.00

Tags: time series analysis

Content Type: Courses / Interactive tutorial style course

Difficulty Rating:

Difficulty Rating:

From DataCamp:

“Many phenomena in our day-to-day lives, such as the movement of stock prices, are measures in intervals over a period of time. Time series analysis methods are extremely useful for analyzing these special data types. In this course, you will be introduced to some core time series analysis concepts and techniques.”

This course consists of five chapters:

- Exploratory time series data analysis
- Predicting the future
- Correlation analysis and the autocorrelation function
- Autoregression
- A simple moving average

Recommended Prerequisites: None specified

Go to Content: DataCamp – Introduction to Time Series Analysis

## By pprabaka July 15, 2017 - 1:43 pm

I would highly recommend this course to all newbies who are trying to start with Time Series Analysis, it gives a solid foundation in R, and skills can be further developed based on our interest or working on some real problems.

Early Beginner- new to data science / totally new to this topic / few prerequisitesEarly Beginner - was totally new to this topic / had few prerequisites

(3) A Good Amount

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