Tableau for R Users - Explore Tableau and Embed R Code

Learn how to create data visualizations in Tableau and how to use R from within Tableau
3.9 (44 ratings) Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
359 students enrolled
$19
$55
65% off
Take This Course
  • Lectures 45
  • Length 5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works

Discover

Find online courses made by experts from around the world.

Learn

Take your courses with you and learn anywhere, anytime.

Master

Learn and practice real-world skills and achieve your goals.

About This Course

Published 2/2016 English

Course Description

Explore the convincing power of Tableau!

Do you want to create overwhelming plots?

Do you want to show your data crystal clear?

Do you want your data to be understood by everyone?

Do you want a versatile graphics toolbox?

Do you want powerful formatting skills?

Do you want to add R functionality to Tableau?

If you answered YES to some of these questions - this course is for you!

Data is useless if you do not have the right tools to build informative graphs and tables (called views in Tableau). Plots need to be understood easily while being accurate at the same time. We gladly enlarge your data toolbox so that you can thrive in your career.

Tableau is a prime platform for all sorts of data visualization. By adding R analytics power to the software you can tremendously enhance the functionality of Tableau.

In this course you will learn

which Tableau product to choose

how to load/connect to different file types

how to store Tableau work

plotting different types of charts

creating tables

you will learn how to embed R code into Tableau and how to use R calculations in charts

and much more

Once you finished the course, you will be a skilled Tableau data scientist. You will be able to use Tableau to optimally visualize your data. This knowledge can be applied in sales, management, science, finance, online business and much more.

Just take the course and explore the magic of Tableau!

What are the requirements?

  • Basic knowledge about data science and data visualization
  • Enthusiasm to learn about advanced visualization tools
  • Tableau 9 on your machine (You will learn about which Tableau product might be best suited for you so you can download it)
  • You should have some R skills (for the R part of the course)

What am I going to get from this course?

  • identify which Tableau product suits your needs
  • installing Tableau
  • loading and connecting to various file types
  • creating different types of tables and charts (views)
  • chart formatting (color, axes, line types, titles, annotations, size, ...)
  • data fusion and joins
  • data hierarchies and aggregations
  • filtering
  • creating stories and presentations
  • calculated fields
  • connecting to R / using R from within Tableau
  • R examples (outlier detection, modeling, classification)

What is the target audience?

  • You should have some R knowledge in order to make full usage of the Tableau/R connection
  • The course is for Tableau beginners and for students looking to get better with Tableau
  • You should take the course if you want to find out which Tableau product might be best suited to you

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction and Preparation
Introduction
Preview
02:27
The Tableau Product Family
05:09
Tableau Desktop for Students - Free Version
Article
Course Datasets - download the data here
03:46
Tableau File Types
08:06
Get Help
04:24
The Start Page
03:09
Section 2: First Steps in Tableau
User Interface Orientation
04:21
How to Connect a Tableau Workbook to a Data Source
08:11
Filtering a Data Extract
06:43
Aggregating a Data Extract
05:58
Joining Data Sources
Preview
05:10
Join Types
04:48
Section 3: Let us Visualize!
Building a Visualization
07:31
Filters
07:24
Sorting
06:04
Totals and Grand Totals
03:49
How to Change the Aggregation of a Measure
04:40
The Format Pane
06:45
Tooltips, Labels, Annotations
05:04
Hierarchies
04:51
Axes
07:55
Creating a Calculated Field
04:02
Marks in Detail
10:38
Building Maps
08:10
Section 4: Tableau Output Features
Worksheets
03:16
Dashboards
05:50
Stories
08:40
Section 5: Data Blending
Data Join vs Data Blend
02:37
Choosing the Primary Dataset
09:03
The Asterisk (*) Value
05:47
Blending on Multiple Fields
09:48
Domain Padding with R
12:59
Using the Padded Data in Tableau
02:53
Section 6: Integrating R
Connecting R and Tableau
04:07
Scripts for R Integration
10:49
R Outlier Detection
06:35
Clustering in Tableau / R
Preview
05:52
Pitfalls when integrating R
03:52
Statistical Modeling
05:16
Section 7: The R Side of Things + Theory on Charting
Chart Overview 1
13:31
Chart Overview 2
10:32
Statistical Outliers
11:07
R Outliers - Univariate
09:08
R Outliers - Multivariate
Preview
05:46

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

R-Tutorials Training, Data Science Education

R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 30,000+ students love it.

We focus on Data Science tutorials. Offering several R courses for every skill level, we are Udemy's number one R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.

The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.

Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.

We are there to help you boost your career with analytics training – Just learn and enjoy.

Ready to start learning?
Take This Course