Purpose
Welcome to the EH Nexus Data Science Software Skill Building Specialized Electives Courses page. Select a software program from the list on the right to jump directly to its courses.
Power BI
These courses explore advanced or specialized Power BI topics once you have mastered the fundamentals.
Getting started
If you are new to Power BI, consider starting with the Power BI Core Curriculum to learn foundational concepts and skills.
Courses
Best Practices in Visualization Creation
78 mins — This community webinar provides an overview of multiple design principles and how to apply them when building Power BI Reports.
How to Design Visually Stunning Reports in Power BI
36 mins — In this session, learn design best practices that will help your reports and dashboards be more attractive and consistent while saving time.
Integrate with R
Create Power BI visuals using R
10 mins — In this short document, learn to use R to visualize your data.
Run R Scripts in Power BI Desktop
10 mins — In this short document, learn to run R scripts directly in Power BI Desktop, and import the resulting datasets into a Power BI Desktop data model.
Use R in the Power Query Editor
10 mins — In this short document, learn to use R in the Power Query Editor to prepare data models, create reports, and perform data cleansing, advanced data shaping, and dataset analytics.
Use R-Powered Power BI Visuals
10 mins — In this short document, learn to use R-powered visuals without any prior knowledge of R or scripting.
Posit/RStudio
Explore advanced or specialized Posit courses once you have mastered the fundamentals.
Getting started
If you are new to Posit/RStudio, consider starting with the Posit/RStudio Core Curriculum to learn foundational concepts and skills.
Courses
Advanced R
300 mins — After reading this book, you will understand the foundations of R, grasp functional programming concepts, explore R's object-oriented systems, and appreciate meta-programming's complexities.
Exploring Categorical Data
240 mins — This chapter of the Exploratory Data Analysis in R course covers exploring categorical data. Learn how to create graphical and numerical summaries of two categorical variables.
Happy Git and GitHub for useR
240 mins — This course introduced Git and GitHub for the R user.
Survival Analysis in R
120 mins — Survival analysis, also called event history analysis in social science, or reliability analysis in engineering, deals with time until occurrence of an event of interest. This course aims at presenting the useful R packages for the analysis of time to eve.
Introduction to Jupyter Notebook
10 mins — This course provides an overview of the Jupyter Notebook interface for first-time users.
Working with RStudio and Jupyter Notebook
60 mins — This interactive environment allows users to explore how R, RStudio, Python, and Jupyter Notebooks work together. In the "Notebook" section, users can select the "Python 3" or "R" modules to practice working with Jupyter Notebooks in either language. Alternatively, users can select the "RStudio" module to practice working in the traditional RStudio environment using either R or Python.
Tableau
Explore advanced or specialized Tableau courses once you have mastered the fundamentals.
Getting Started
If you are new to Tableau, consider starting with the Tableau Core Curriculum to learn foundational concepts and skills.
Courses
Parameters! Oh the places you'll go!
44 mins — In this recorded tutorial, learn more about parameters, when and why they are useful, and how to leverage them as a powerful tool in your analysis.
Your First Web Data Connector
54 mins — This video is an in-depth look at Tableau's Web Data Connectors, including their function, creation, and usage.