Coursera

Advanced Data Visualization with Tableau (Coursera)

Offered by Tableau Learning Partner,
Advanced Data Visualization with Tableau (Coursera)

The Advanced Data Visualization with Tableau Course teaches you how to create advanced data visualizations such as dual-axis charts, bar-in-bar charts, and more. You will also learn how to customize and add complexity to your visualizations by incorporating the use of features such as maps, map customization, polygon spatial data, and more. These skills will allow you to effectively communicate insights to your stakeholders.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.
By the end of the course, you will be able to:
-Create advanced data visualizations to communicate analytic insights to the intended stakeholders, such as dual-axis charts, bar-in-bar charts, and more.
-Create and customize spatial analytics data visualizations to communicate insights to the intended stakeholders, such as maps, map customization, polygon spatial data, and more.
-Add complexity to the visualizations produced in your analysis by incorporating detail and multilayers.
This course is part of the Tableau Business Intelligence Analyst Professional Certificate.

What you'll learn

  • Create advanced data visualizations to communicate analytic insights, such as dual-axis charts, bar-in-bar charts, small multiples, and more.
  • Create and customize spatial analytics data visualizations to communicate insights, such as maps, geocoding, lasso and radial selection, and more.
  • Add complexity to the visualizations produced in your analysis by incorporating motion and multi layers.

Syllabus

Advanced Visualizations
Welcome to the Advanced Data Visualization with Tableau course in the Tableau Business Intelligence Analyst Professional Certificate. By enrolling in this course, you are continuing on your journey to a career in business analytics. In the first week of this course, you will build and interpret more advanced visualizations in Tableau than you have up to this point. Specifically, you will learn about motion, dual-axis, Gantt, and bar-in-bar charts.

Specialized Visualizations
Welcome to the second week of Advanced Data Visualization with Tableau! This week, you will continue to build and interpret more advanced visualizations in Tableau. Specifically, you will learn about donut, funnel, waterfall, and sparkline charts.

Advanced Geographic Data Analysis
Welcome to the third and final week of Advanced Data Visualization with Tableau! This week, you will continue to build and interpret more advanced visualizations in Tableau. Specifically, you will learn about advanced geographic data analysis, including working with spatial data and map customization. Time to dive in!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Bioinformatic Methods I (Coursera) Coursera
University of Toronto

Bioinformatic Methods I (Coursera)

Health & Society Statistics & Data Analysis

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Nov 16th 2026
5-12 Weeks
Biology Bioinformatics Molecular Biology
Details
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

Fundamentals of Data Analysis in Excel (Coursera)

Economics & Finance Statistics & Data Analysis

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Nov 16th 2026
5-12 Weeks
Excel Data Analysis Microsoft Excel
Details
Business intelligence and data analytics: Generate insights (Coursera) Coursera
Macquarie University

Business intelligence and data analytics: Generate insights (Coursera)

Business

‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation.

Nov 16th 2026
5-12 Weeks
Statistics Charts Analytical Tools
Details
Fundamentos de Excel para Negocios (Coursera) Coursera
Universidad Austral

Fundamentos de Excel para Negocios (Coursera)

Statistics & Data Analysis Data Science

Cuando finalices este curso habrás logrado un gran número de habilidades como introducir información, ordenarla, manipularla, realizar cálculos de diversa índole (matemáticos, trigonométricos, estadísticos, financieros, ingenieriles, probabilísticos), extraer conclusiones, trabajar con fechas y horas, construir gráficos, imprimir reportes y muchas más.

Nov 9th 2026
5-12 Weeks
Business Excel Data Analysis
Details
Data Visualization for Genome Biology (Coursera) Coursera
University of Toronto

Data Visualization for Genome Biology (Coursera)

Statistics & Data Analysis Data Science

The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization. This course introduces theoretical topics in data visualization through mini-lectures, and applied aspects in the form of hands-on labs.

Nov 16th 2026
5-12 Weeks
Biology Genome Data Analysis
Details
SQL: A Practical Introduction for Querying Databases (Coursera) Coursera
IBM

SQL: A Practical Introduction for Querying Databases (Coursera)

Statistics & Data Analysis Data Science

Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence. The purpose of this course is to help you learn and apply foundational and intermediate knowledge of the SQL language, and become familiar with many relational database (RDBMS) concepts along the way.

Nov 16th 2026
5-12 Weeks
Databases SQL Data Analysis
Details
Combining and Analyzing Complex Data (Coursera) Coursera
University of Maryland, College Park

Combining and Analyzing Complex Data (Coursera)

Statistics & Data Analysis

In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be covered with R® receiving particular emphasis. The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Combining of datasets raises ethical issues which the course reviews. Informed consent may have to be obtained from persons to allow their data to be linked. You will learn about differences in the legal requirements in different countries.

Nov 16th 2026
4 Weeks
Ethics Models Data Analysis
Details
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

Sci: Mathematics

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Nov 9th 2026
4 Weeks
Math Statistics Probability
Details
Statistics and Data Analysis with Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

Statistics & Data Analysis Data Science

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Nov 16th 2026
5-12 Weeks
Statistics Excel Data Analysis
Details