$272.50

The Weekend Data Course, U of O Campus, Sep 23-24 (50% OFF ENDS SEP 21)

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Location

University of Ottawa, Desmarais Building

55 Laurier Ave E

Room 1130

Ottawa, Ontario K1N 6N5

Canada

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Refund Policy

Refund Policy

Refunds up to 30 days before event

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The Weekend Data Course is a two-day R course that is open to anyone with an interest in data analytics. You do not need to be a programmer - all programming will be taught in-class. R is one of the most popular data science languages in the world. It is free to use and contains thousands of tools that empower users to better analyze data and solve problems.

At the end of this course you should be comfortable performing the following tasks:

  • Writing scripts to import and manipulate data in ways that would be extremely difficult or impossible to do in Excel.

  • Writing scripts to create powerful graphics objects that can quickly produce a wide range of visualizations.

  • Storing your procedures in custom functions that can used for future projects.

  • How to troubleshoot and debug your code.

The above items and the skills behind them represent the cornerstone of the R language. They also span the topics that people typically find the most difficult to self-learn. In short, you should feel confident using the R language to carry out analysis that is practical to your area of work.

Additionally, you will see examples (and receive example code) of the below categories:

  • Machine learning algorithms

  • R-based web application development

  • Creating dynamic reports and presentations

  • Overlaying data onto geographical maps

Bonus!!

Walk out with our R-Sidekick package included free with this course!

R-Sidekick includes: Lots of example code, Short list of must-know functions, a guide full of resouces and more!!

For a complete description of the course, FAQs, and the course curriculum, please visit our website at:

www.theweekenddatacourse.com

If you have any questions related to the course, please email us at: info@theweekenddatacourse.com.

Note: Participants are required to bring their own laptops and power cords.

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Date and Time

Location

University of Ottawa, Desmarais Building

55 Laurier Ave E

Room 1130

Ottawa, Ontario K1N 6N5

Canada

View Map

Refund Policy

Refunds up to 30 days before event

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