Jumping Rivers 2021 Online Training Schedule

[This article was first published on The Jumping Rivers Blog, and kindly contributed to python-bloggers]. (You can report issue about the content on this page here)
Want to share your content on python-bloggers? click here.


Jumping Rivers 2021 Online Training Schedule

Good news! In tandom with the loosening of lockdown restrictions,
Jumping Rivers has released the updated 2021 public, online training
course schedule. We are offering courses across multiple programming
languages, including R, Python, Stan, Scala and git. In the past year,
we have converted all of our courses to be online friendly and have
recieved great feedback in relation to interactivity, course structure
and overall attendee satisfaction. Some examples of feedback we have
recieved can be seen below:

“The live coding was well structured and the screen share made it very
immersive.”

“I thought the delivery of the content was well presented, and
extremely easy to follow”

“Lots of exercises to test knowledge as the course proceeded. Clear
explanations for everything. Friendly and engaging presenter.”

Early bird offers are currently avaiable for selected courses and all
courses come with a 25% student/academic discount. A summary of the
training courses on offer can be seen below:

June:

  • Introduction to
    R:

    Learn the fundamentals of R and how to import, summarise and plot
    data using the {tidyverse}.

  • Programming with
    R:

    Fundamental R techniques such as functions, for loops and
    conditional expressions.

July:

August:

September:

October:

November:

  • Spatial Data Analysis with
    R:

    Discussing how to apply R’s powerful suite of geographical tools to
    their own problems.

  • Reporting with R
    Markdown:

    Learn how to dynamically create static/interactive documents;
    automate the re-generation of these reports with respect to the data
    in question.

For further information on any of our upcoming courses please visit our
public course page.

If you would like to get in touch directly with any queries then please
email us at [email protected].

For updates and revisions to this article, see the original post

To leave a comment for the author, please follow the link and comment on their blog: The Jumping Rivers Blog.

Want to share your content on python-bloggers? click here.