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New training courses

Author: Clarissa Barratt

Published: June 7, 2022

The trainers here at Jumping Rivers have been busy developing a host of new courses for your programming pleasure! We have recently developed several new courses, which are now available to view on our course list.

As well as R and Python, our new courses focus on two new tools: H2O.ai and Tableau.


Whether you want to start from scratch, or improve your skills, Jumping Rivers has a training course for you.


H2O.ai

H2O.ai develop easy to use machine learning and AI tools. H2O Driverless AI is a tool which allows you to perform automatic machine learning without having to learn how to code, while H2O Wave allows you to develop real-time interactive web applications, without the need to learn any programming outside Python. Our introductory courses will show you how to use H2O Driverless AI to create, analyse and deploy machine learning models for your data, and how to use H2O Wave to develop an interactive web application to display data.

Our new courses are:

Tableau

Faster and more capable of handling larger datasets than Excel, Tableau is quickly becoming a valuable tool for individuals and organisations who want to leverage their data. It’s more user-friendly and simpler to learn than programming languages, but still allows a high-level of customisation. Tableau is more than just a simple data visualisation tool. It also gives people the capability to manipulate multiple data sources, create custom charts, build predictive models, and turn their plots into interactive dashboards and presentations. Introduction to Tableau will help you to get to grips with the basics of summarising and interactively visualising your data, while Data Exploration with Tableau will showcase what Tableau can do beyond basic data visualisation.

Our new courses are:

R

We also have several new R courses. Text Mining in R will teach you the basics of manipulating and transforming text data as well as how to extract meaning and sentiment in R, using packages such as {stringr} and {tidytext}. In our one day Tidy Evaluation in R course, we introduce the {rlang} package as a way of parsing variables from a data set into a function, and cover environments and function-evaluation in R, to help you understand how the tools in {rlang} work under the hood. Object Oriented Programming in R will teach you what OOP is and the different varieties within R, beginning with the popular S3 and S4 OOP frameworks, and finishing with the new {R6} package that is used extensively in Shiny applications.

Our new courses are:

Python

Writing code is all well and good, but writing code which is easy to read, simple to maintain, and reproducible is a challenge, especially under pressure. This course will show how we can make best practices second nature by incorporating them into our normal workflow.

Our new courses are:


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