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Tableau for Beginners - Get Certified Accelerate Your Career

Jump into data visualization with hands-on exercises and pass the Qualified Associate exam.
4.5 (607 ratings)
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3,377 students enrolled
Created by Lukas Halim
Last updated 1/2017
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  • 4 hours on-demand video
  • 16 Articles
  • 18 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What Will I Learn?
Sort, filter, slice, pivot, and graph your data using a Tableau Public, a free version of the market leading visualization tool.
Combine multiple data sources using data blending and joins.
Create bar charts, pie charts, and line graphs
Create calculated fields with conditional logic
Map your data to quickly detect geographic variation.
Create a dynamic dashboard combining multiple worksheets
Create trendlines and understand the relevant statistical metrics such as p-value and R-squared.
Create forecasts with prediction intervals, accounting for seasonal variability
Answer questions on the Tableau Desktop Qualified Associate Exam.
Use publicly available data to create visualizations on topics that interest you - anything from the economy to the Olympics.
View Curriculum
  • Familiarity with Excel is helpful, but not required.
  • You should have access to a computer running iOS or Windows. The course will show you how to download and install the Tableau software.

Tableau is the solution that thousands of companies use today as they struggle with their big data issues. This course prepares you for the Tableau Qualified Associate Certification exam, and features a Full-Length Qualified Associate Practice Exam with Solution Guide

Are you looking to find a way to increase your salary and enjoy your work more? Why not turn to Tableau? Getting certified as a Tableau Qualified Associate can be the first step to achieving this goal. Tableau is not only great fun, it can be really lucrative. Imagine what your life would be like with a $100k salary!

Get Started Today!

Working with Tableau isn't just lucrative - it's fun! And unlike most data analysis tools, Tableau uses a drag-and-drop interface, so you don't need to be a programmer to learn Tableau. If you can learn Excel then you can learn Tableau.

Learn and Apply Fundamental Skills

Get a step-by-step walk-through of the fundamentals of data visualization and data discovery with Tableau. You'll learn how to:

  • Sort, filter, and group your data
  • Create tables, bar charts, line charts
  • Show location using geographic maps
  • Aggregate with sum, average, min, max, and counts
  • Create new fields using calculations
  • Combine data using joins and blends

But just watching the videos won't make you an expert. For mastery, you need to go hands-on by answering questions that reinforce the skills from the videos. To go hands-on, you'll install the Public version of the Tableau software, which is available for free and easy to install on Mac or Windows. Then you'll download the sample data set included with the course, and Tableau to answer questions about this sample data.

Prepare for the Qualified Associate Certification Exam

After completing the units on fundamental Tableau skills, solidify your knowledge by answer questions similar to those on the Tableau Qualified Associate certification exam. If you get stuck on a question, you can watch a video presenting the solution.

Course includes access to a full length Tableau Qualified Associate Certification Exam.

Final Project

The final part of the course is the final project where you use Tableau to create a unique visualization on a topic of your choosing using publicly available data. Save your project to the Tableau Public website and you'll have a project you can show potential employers.

Who is the target audience?
  • This Tableau course is meant for those who are looking to move forward in their career by building skills in data science and data visualization.
  • Students who wish to prepare for the Tableau Qualified Associate certification exam.
  • This course is not intended for experienced Tableau users.
Students Who Viewed This Course Also Viewed
Curriculum For This Course
Expand All 60 Lectures Collapse All 60 Lectures 04:02:49
5 Lectures 15:04

This course is designed for those who are new to Tableau, the market leading tool for data visualization and data discovery. Companies are struggling to make sense of their data and they are looking to hire analytics professionals who can use Tableau to turn raw data into the knowledge they need to run their business. This course will help you develop marketable skills with Tableau.

Preview 02:10

Why Learn Tableau?

A walk-through of the Tableau Public installation on Windows.

Demo of Tableau Installation

The best way to retain the skills and concepts covered in the videos is to learn by doing. Launch Tableau.and try creating visualizations similar to the ones you see in the video. Save your work to Tableau public and you'll have portfolio of work that demonstrates your skill.

Learn by Doing and Build a Tableau Portfolio

A First Look at Tableau
1 Lecture 00:08
All the data used in this course
Charts and Graphs
8 Lectures 35:04
Pie Charts

Bar Charts

Hands-on Bar Chart Question
1 question

Line and Area Charts

Hands-On Line Graph Question
1 question


Hands-on Maps Question
1 question

Hands On Maps Solution

Optional Note on Creating DiceJobs.csv

Tableau Box and whisker plots allow you to view the distribution of your data and identify extremely large or extremely small values. You can quickly see the 25th percentile (also called the 1st quartile) the median (also called the 50th percentile or first quartile) and the 3rd quartile (also called the 75th percentile). The video will cover cover box and whisker plots and define quartiles and percentiles.

Box-and-Whisker Plots

Hands-on Box-and-whisker plot question
1 question


Hands On Histogram Question
1 question

Charts and Graphs Review
3 questions
Manipulating Data
5 Lectures 32:40

Segment your data by adding dimensions to a Tableau view. Adding dimensions to the column shelf will create column headers, while adding dimensions to the row shelf will create new row headers.

Preview 05:10

Hands-on Level of Detail Question
1 question

Sorts change the orders of rows and columns. Filters allow you to remove data from the view, so that you can focus on the data you're most interested in.

Sorting and Filtering

Hands-on Sorting Question
1 question

Groups combine multiple values in a dimension. Hierarchies establish a category-subcategory relationship so that you can drill down - for example, state and city. Sets are custom fields that define a subset of data based on some conditions. Learn how to use all three in this video.

Groups, Sets and Hierarchies

Adding dimensions to the Tableau view increases the level of detail. But if this more segmented view seems to miss the forest for the trees then consider adding totals or subtotals to see higher levels of aggregation.

Totals and Subtotals

Percents can often be more relevant than absolute numbers. You may be interested in understanding the percent that each product category contributes to profit, or which product categories are most profitable for each sales region. Tableau provides a lot of flexibility in calculating percentages, making it possible to show percentages by row, column, or subsection/pane.


Manipulating Data Review
4 questions
Calculated Fields
10 Lectures 50:05

Hands-on Sum Question
1 question

Aggregate Calculations with the "Create a Calculated Field" Dialog Box

Understanding order of operations is critical when creating calculations with ratios.

Ratio Calculations

Show that you are able to implement a ratio calculation.

Hands-on Ratio Question
1 question

The count distinct function often comes in handy. For example, if you need to find the number of customers, you can use the count distinct function to count the unique customers appearing in your data.

Count Distinct

Hands-on Count Distinct Question
1 question

Count Distinct Solution

Find the number of days, months, or years between dates.

Date Calculations

If Then Else statements are extremely versatile. This video shows how to use If statements in Tableau.

If Statements

The contains functions returns true if your field contains a specified string. The Left function returns the specified number of characters from the left part of a string. Learn how to create these calculations in Tableau

String Functions

Fixed Level of Detail

Hands-on Level of Detail Question
1 question

Level of Detail Solution

Calculated Fields Review
5 questions
Combining Datasets
4 Lectures 25:45

Joins allow you to use data from two or more tables in a single Tableau view. There are different types of joins - with an Excel data connection you can do either a left join or an inner join. A left join ensures that all of the data from the first table is included, even if no match is found in the second table used in the join. An inner join will not include any data unless a match is found between the first and second table. If more than one match is found, more that one row will result from the join.

Preview 05:59

Hands-on Join Question
1 question

When you join two tables, a row in the result set is created each time the join criteria is met. See how this works in Tableau.

Joins with Multiple Matches

Data blending is similar to joins in that blending allows you to combine multiple data tables. The difference, though, is that joins duplicate data each time the join criteria is met. See joins and blends compared in Tableau.



Combining Datasets Review
4 questions
1 Lecture 06:35

Create a dynamic Tableau dashboard showing monthly profitability along with most profitable customers and products. Learn about the "Add to Context" filter option.

Preview 06:35
6 Lectures 15:05

Trend lines (also called best-fit lines) illustrate the relationship between two more more measures. Tableau allows you to create linear, exponential, logarithmic, and polynomial trend lines.

Preview 02:32

Hands-on Trend Line Question
1 question

Solution for Hands-on Trend Line Question

P-values measure statistical confidence. The smaller the p-value, the more significant the model is. A p-value of 0.05 or less is often considered "statistically significant."


Hands On P-Value Question
1 question

The trendline minimizes the sum of the squared errors.

Defining the Best Fit

R-squared is a measure of how well the model fits the data.


Hands On R-Squared Question
1 question

Describe Trend Line Screenshot
3 Lectures 09:07
Intro to Forecasting

Hands-on Forecasting Question
1 question

Displaying the Forecast Prediction Interval

Hands-on Forecasting Question - Prediction Interval
1 question

Ignore Last Month By Default
Qualified Associate Certification Prep
9 Lectures 40:03

This lesson introduces the Tableau Qualified Associate certification exam, and provides a link to the Superstore data set that you'll use to solve the practice problems.

Preview 00:38

Working through the questions will help you prepare for the Tableau Qualified Associate certification.

First Problem Set for Certification Prep
3 questions

This video explains the solutions to the three problems in problem set one. You can also download the attached Tableau workbook to understand the solutions

First Problem Set Review

Second Problem Set for Certification Prep
3 questions

Watch this lecture after completing the second certification prep problem set.

Second Problem Set Review

Third Problem Set for Certification Prep
3 questions

This video demonstrates answers to questions from the third problem set. The questions are similar to those on the Tableau Qualified Associate certification exam.

Third Problem Set Review

[Trend Lines] Fourth Problem Set for Certification Prep
3 questions

This video demonstrates answers to questions from the forth problem set. The questions are similar to those on the Tableau Qualified Associate certification exam.

Fourth Problem Set Review

Additional Data for Problem Set 5

Fifth Problem Set for Certification Prep
3 questions

Fifth Problem Set Review

Level of Detail Problem Set
3 questions

Level of Detail Problem Set Review

3 More Sections
About the Instructor
4.5 Average rating
605 Reviews
3,377 Students
1 Course
Analytics Professional

Let me tell you about myself, and why I became interested in Tableau.

I was the office Excel and SharePoint expert, creating macros and writing JavaScript to streamline workflows and create reports. I was a valued contributor to the team, but for a while I didn't seem to be learning new skills. A friend gave me a bit of advice - "don't confuse seven years of experience with one year of experience seven times." Friends were mentioning that there was a lot of buzz around Hadoop and Big Data, so I decided to go back to school.

I earned a Masters in Analytics from NC State in 2013 and now work as a data analyst in the health insurance industry. Using tools such as SAS, Tableau, and Teradata, I conduct analysis to help my company improve healthcare affordability and customer engagement.

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