Congratulations!

1. Congratulations!

Congratulations! You finished the course. Let's wrap up the course by quickly revisiting what we learned.

2. Course wrap-up

In chapter 1, you have been introduced to the basic R time series visualization tools: we reviewed the xts objects, the plot function along with some of its most useful parameters. Then we presented some commonly used graphical setups. In chapter 2, we introduced histogram, box and whiskers, autocorrelation and q-q plot and reviewed how they can help to draw some useful insights about time series. In chapter 3 we extended some concepts from chapter 2 and introduced new ones: namely correlation plots and heatmap. Finally in chapter 4 we reviewed a simple stock selection example by using some of the concepts presented in this course.

3. DataCamp courses

Obviously everything that has been presented in this course is by no means exhaustive; instead the goal is to give you a solid foundation to start building up your data science knowledge with a finance bias. Should you want to go further, DataCamp offers other some very useful courses on time series analysis like: "Manipulating Time Series Data in R with xts & zoo" or "Introduction to Time Series Analysis".

4. CRAN Task View

You can also find a comprehensive list of R packages on Time Series Analysis CRAN Task View.

5. quant career track

For finance related topics DataCamp offers the "Quantitative Analyst with R" career track. This is a set of R courses touching upon topics such as: risk, trading strategies, asset prices evaluation etc

6. Empirical Finance CRAN Task View

You can also find a comprehensive list of finance related R packages on the Empirical Finance CRAN Task View.

7. R-bloggers

There are also countless blogs and websites about the usage of R time series analysis and finance, most of them can be found via R-Bloggers which is a curation of some of the most active R blogs. This is currently the best resource for general information about R.

8. Let's practice!

And finally, I would like to thank you for taking the course!

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