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Beginner No prior Tableau experience needed

Data Visualization with Tableau

Four modules from installing Tableau to designing dashboards - connecting and transforming data, exploratory and explanatory analysis, and charts that actually communicate.

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≈ 23 hours · 2 weeks at 10 h/week 4 modules · 60 lessons Beginner · no prerequisites English · 7 languages available
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Board Infinity Board InfinityInstructor · 287 courses on Coursera
Introduction to Tableau · 4:24

Every concept on screen

60 short lessons, each one demonstrated inside Tableau

Certificate included

Shareable on LinkedIn the day you finish

Graded, not just watched

15 assignments across the four modules

6 Lakh+learners on our Coursera courses
10+domains covered
270+courses
57+specializations
01 About the course

One course that goes all the way to dashboards.

Most Tableau tutorials stop at a bar chart. This one keeps going - through joins, blending and calculated fields into control charts, Pareto charts and interactive dashboards.

4
Modules
Basics to dashboards
60
Video lessons
Averaging under 8 minutes
15
Assignments
4 graded quizzes, 11 practice
23h
Total learning time
≈ 2 weeks at 10 hours a week

Data Visualization with Tableau is a beginner-friendly course for people who need to turn data into something other people can read. It starts where the tutorials skip - installing Tableau, finding your way round the interface, and the difference between exploratory and explanatory analysis - and doesn't stop until you're building an interactive dashboard.

The shape is consistent across all four modules: a short screen-recorded lesson, then a quiz on the same idea. There are 60 lessons, 13 readings and 15 assignments - four graded quizzes and eleven practice quizzes - so you're checked on what you just learned rather than only watching it.

It assumes no specific prerequisites. Coursera notes that a basic understanding of data analysis can help, but module one begins with installation and the Tableau user interface.

Inside the course
01Basics of Tableau≈ 5h 02Fundamentals of Tableau≈ 5h 03Tableau Charts: Basic to Advanced≈ 5h 04Advanced Tableau & Dashboard Design≈ 5h
02 Who it's for

For anyone whose data deserves a better chart.

Coursera names programmers, developers, content creators, educators in IT and computer science, and teams looking to improve their data-visualization skills. These are simply the starting points it fits best.

Aspiring analysts

Learning to read data visually

Tableau fundamentals, from connecting a data source to choosing the chart that answers the question.

Business professionals

Reporting to people who skim

Communicate data through clear charts and dashboards, not another table nobody opens.

Developers

Adding visualization to a technical stack

Programmers and developers adding Tableau to skills they already have.

Educators & creators

Explaining data to an audience

Content creators and educators in IT and computer science who need to show data clearly.

03 What you'll learn

Four capabilities, in the order they build.

Each module adds one layer: the tool, then the data, then the charts, then the dashboard they live on.

Module 1

Master Tableau fundamentals

Install Tableau, navigate the interface, connect data and use its core features - menus and toolbar, the Data Pane, the Analytics Pane and Sheet Tabs.

Module 2

Transform and prepare data

Joins, unions, filters, calculated fields, groups, sets, hierarchies and blending - plus splitting, pivoting and bulk re-aliasing.

Module 3

Build compelling visualizations

Bar and line through to heat maps, histograms, maps, dual-axis, bump, control, Pareto and waterfall charts.

Module 4

Design dashboards that communicate

Advanced calculations, summary statistics, reference and trend lines, forecasting and dashboard design - so the insight lands.

1:1 coaching · optional add-on

Learn Tableau with someone in your corner.

A dedicated coach who builds dashboards for a living - someone who can look at the chart you've stared at for an hour and tell you why it isn't landing.

Book a demo session
  • A coach matched to your goal in 24 hours
  • A written roadmap you keep
  • Weekly sessions for as long as you want them

60-minute demo session · 100% refundable · no obligation to continue

Get unstuck in minutes

The join that duplicates every row, explained by someone who has debugged it before.

Your dashboard reviewed

Not just whether it renders - whether the person reading it understands it.

Practice beyond the quizzes

Datasets set for you, then reviewed, so chart choice turns into instinct.

Aim it at a role

Which analytics path fits you - reporting, BI or visualization - and what to learn next.

2,000+Industry coaches
16Domains covered
4.8/5Average coach rating
48,000+Sessions delivered
04 Syllabus

Four modules, from installing Tableau to shipping a dashboard.

Roughly 23 hours end to end, fully self-paced. Every module lists its learning objectives, exactly what's inside it, and what you leave with.

60 videos 13 readings 15 assignments ≈ 23 hours Download full syllabus
Learning objectives - by the end of this module you can:
  • Install Tableau and find your way around its user interface, menus and toolbar
  • Explain the basics of data visualization, why it matters in a career, and exploratory vs explanatory analysis
  • Connect data, join and union sources, and choose between a live connection and an extract
  • Work with the Data Pane, the Analytics Pane and Sheet Tabs
What's inside
15 videos76 min
4 readings100 min
4 assignments105 min
1 plugin15 min
Topics covered
Tableau installation Tableau UI Data visualization basics Exploratory vs explanatory Tableau features Data connections Joins & unions Live connections & extracts Menus & toolbar Data Pane Analytics Pane Sheet Tabs
You'll leave with: Tableau installed, data connected, and a working grasp of the interface you'll spend the next three modules in.
Learning objectives - by the end of this module you can:
  • Use Shelves, Cards, the Marks Card and Legends to control how a view is drawn
  • Explain the difference between green and blue pills, including their effect on dates
  • Split, pivot and transform data, and clean it with bulk re-aliasing
  • Build hierarchies, groups, sets, filters and calculated fields, and combine sources with blending and joins
What's inside
16 videos108 min
3 readings90 min
4 assignments105 min
Topics covered
Shelves & Cards Marks Card Legends Green & blue pills Data splitting Pivoting Data transformation Filters Dates Bulk re-aliasing Hierarchies Groups Sets Calculated fields Data blending Joins
You'll leave with: the ability to shape raw data into something worth charting - cleaned, filtered, calculated and blended across sources.
Learning objectives - by the end of this module you can:
  • Build the core chart types - bar, line, scatterplot, histogram and pie - and know when each is the right answer
  • Build advanced visualizations: heat maps, maps, dual-axis, bump, control, Pareto and waterfall charts
  • Filter data through a chart and use the view itself to interrogate the data
  • Visualize categorical data, time-series data and multiple variables in one view
What's inside
16 videos110 min
3 readings90 min
4 assignments105 min
Topics covered
Bar charts Line charts Scatterplots Heat maps Histograms Maps Dual-axis charts Pie charts Bump charts Control charts Pareto charts Waterfall charts Categorical data Time-series data Multiple variables
You'll leave with: a working vocabulary of twelve chart types, and the judgement to pick the one that makes the point.
Learning objectives - by the end of this module you can:
  • Write aggregate, date, logic, number and string calculations, and integrate Mapbox for richer maps
  • Add summary statistics, reference lines and trend lines to a visualization
  • Visualize forecasting data in Tableau
  • Explain what a dashboard is and what it's for, then build one end to end
What's inside
13 videos158 min
3 readings70 min
3 assignments90 min
Topics covered
Mapbox integrations Aggregate calculations Date calculations Logic calculations Number calculations String calculations Summary statistics Reference lines Trend lines Forecasting Dashboards Dashboard design
You'll leave with: an interactive dashboard of your own, built on calculations, reference lines and a forecast.
05 Tools & skills

The tool you work in, and the skills you leave with.

Nothing to set up before you start - module one installs Tableau and walks the interface on screen.

The tool

Tableau

The whole course. Interface, data connections, calculations, charts and dashboards - all of it inside Tableau.

What you build

Dashboards

Coursera lists Dashboard as a tool you learn here. Module four covers what one is, what it's for, and how to build it.

Map integrations

Mapbox

Covered in module four, alongside Tableau's own maps, for geographic views that go past the defaults.

What you connect

Your data sources

Connecting data, joining and unioning sources, choosing live connections or extracts, and blending across them.

Skills you leave with

The eleven capabilities Coursera lists for this course, grouped the way the work actually splits - working the tool, analysing the data, and communicating what you found.

Working in Tableau

Getting the tool to do what you actually meant.

  • Tableau Software
  • Data Visualization Software
  • Data Manipulation
  • Data Transformation

Analysing the data

Finding out what the data actually says.

  • Exploratory Data Analysis
  • Data Analysis
  • Data Visualization
  • Interactive Data Visualization

Communicating it

Making a second person understand it.

  • Data Storytelling
  • Data Presentation
  • Dashboard Creation
Certificate

Proof you can link to.

Finish the course and Board Infinity issues a shareable certificate through Coursera - added to your Accomplishments page, with a one-click path onto your LinkedIn profile.

Issued on completion of the graded work across the four modules. Coursera lists a shareable certificate for this course.

On your profile in one click

Filed under Licenses & Certifications, where recruiters actually look.

Anyone can verify it

Its own verification link, so a hiring manager confirms it in seconds.

Earned, not attended

Awarded on the graded work across 15 assignments - it certifies what you can do.

Two names on it

Board Infinity as the provider, Coursera as the platform.

06 Career impact

Charts are how decisions get made - and someone has to build them.

Tableau is one of the tools these roles are hired to use. It opens the door rather than guaranteeing what's behind it.

Where this skill gets used

Data Analyst

Explore data, build visualizations and communicate findings - the loop modules one to three teach.

Business Intelligence Analyst

Develop dashboards and data-driven reports for stakeholders - what module four is about.

Data Visualization Specialist

Create clear visual narratives from complex datasets - twelve chart types and the judgement to choose.

Reporting Analyst

Turn data into visual reports and dashboards, with calculated fields and filters behind them.

Business Analyst

Use exploratory analysis and data storytelling to support decisions - making a case, not just showing data.

Career switchers

A visible, portfolio-friendly skill you can practise on public data - and a certificate at the end.

The honest comparison

Tableau is free to learn about. So what is this?

Every topic in this course exists free somewhere on the internet. Nobody is pretending otherwise. What a course adds is the order you learn it in, the checking that makes it stick, and something to show at the end.

What you get
This course
Free videos and blogs
A sequenced pathFundamentals → transformation → charts → dashboards
4 modules that build on each other
Whatever the algorithm shows you
Someone checkingLearning that sticks
15 assignments across the four modules
You never find out what you missed
It goes far enoughMost free tutorials stop at a bar chart
Control, Pareto and waterfall charts, then dashboards
Usually ends before the advanced charts
The data gets handledThe part that breaks every dashboard
Joins, unions, blending and calculated fields, taught properly
Usually a clean sample file
Proof for recruitersVerifiable, on LinkedIn
Certificate with a verification link
Nothing to show
07 Where to go next

Tableau is one way to show data. Here is what it opens up.

This course stands on its own. These are the Board Infinity courses that pick up where it leaves off.

Visualize in code

Data Visualization and Storytelling with Plotly in Python

The same storytelling discipline, built in code instead of a canvas - useful when the chart has to live inside an application.

View course Dashboards, live

Real-Time Dashboards in Python: Streamlit & Live Data

Take the dashboard thinking from module four and put it in front of data that keeps changing.

View course Go analytical

Time Series Forecasting with Python: Models to Production

Module four visualizes a forecast. This is where the forecast itself gets built and shipped.

View course

Board Infinity runs 270+ courses and 57 specializations on Coursera - browse the full catalogue.

Know exactly what you're signing up for.

4 modules · 60 lessons · 15 assignments · free PDF

08 FAQ

Common questions

Everything learners ask before enrolling, answered plainly.

About the course

It teaches data visualization using Tableau, from the fundamentals through to dashboards. Four modules take you from installing Tableau and navigating its interface, through data transformation - Marks Cards, pills, filters, calculated fields, joins and blending - into charts from bar and line to heat maps, Pareto and waterfall, and finally advanced calculations, forecasting and dashboard design. That's 60 video lessons, 13 readings and 15 assignments.

The course is beginner level. Coursera names programmers, developers, content creators, educators in IT and computer science, and teams aiming to improve their data-visualization skills. It isn't designed exclusively for those roles - anyone who needs to communicate data visually can take it.

No specific prerequisites. Coursera notes that a basic understanding of data analysis can be beneficial, but module one starts with installing Tableau and finding your way round the user interface.

Tableau fundamentals, visual communication, exploratory versus explanatory analysis, data integration and transformation, charting from basic to advanced, advanced Tableau techniques and dashboard design.

Coursera lists approximately 2 weeks at 10 hours a week, and estimates roughly 23 hours in total including lectures and hands-on exercises. It's fully self-paced, so the actual time varies with your pace.

The price is shown at checkout on the Coursera course page and can vary by region. It's included at no extra cost with a Coursera Plus subscription, and Coursera's financial aid is available to eligible learners.

Inside the course & certificate

Tableau installation and UI, data-visualization basics, why visualization matters in a career, exploratory versus explanatory analysis, Tableau features, connecting data, joins, unions, live connections and extracts, and the interface components - menus and toolbar, the Data Pane, the Analytics Pane and Sheet Tabs.

Shelves and Cards, the Marks Card, Legends, green and blue pills, data splitting, pivoting and transformation, filters and their effect on dates, bulk re-aliasing, hierarchies, groups, sets, calculated fields, data blending and joins.

Bar charts, line charts, scatterplots, heat maps, histograms, maps, dual-axis charts, pie charts, bump charts, control charts, Pareto charts and waterfall charts - plus visualizing categorical data, time-series data and multiple variables.

Yes. The fourth module covers advanced Tableau techniques and dashboard design - Mapbox integrations, aggregate, date, logic, number and string calculations, summary statistics, reference and trend lines, forecasting, and creating a dashboard end to end.

Yes. Coursera lists a shareable certificate for this course. On completion your certificate is added to your Accomplishments page, from where you can print it or add it to the Licenses & Certifications section of your LinkedIn profile.

Want someone building this with you?

Board Infinity 1:1 coaching pairs you with a practitioner while you take the course.

See 1:1 coaching

Make the chart that makes the point.

Four modules. Twenty-three hours. From installing Tableau to a dashboard of your own - and a certificate to show for it.

Enroll on Coursera

Data Visualization with Tableau · by Board Infinity · offered on Coursera

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