Use Tableau for your Data Science Workflow (Coursera)

Offered by Edureka,
Use Tableau for your Data Science Workflow (Coursera)

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

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

Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping. Boost your career with our comprehensive Tableau training. Unlock the power of data visualization with our Tableau course.
This course provides an introduction to Tableau, a powerful data visualization tool, and its integration with fundamental data science concepts. Participants will gain hands-on experience in connecting to various data sources, creating insightful visualizations, and building interactive dashboards. Additionally, the course explores the synergy between Tableau and data science tools, empowering participants to leverage advanced analytics capabilities within the Tableau environment.
By the end of this course, you will be able to:

  • Create foundational visualizations (bar charts, line charts, scatter plots).
  • Learn effective data visualization practices.
  • Connect to various data sources and perform basic data preparation.
  • Explore advanced chart types and geographic mapping.
  • Customize visualizing for specific insights.

This comprehensive short course is tailored for Beginners, Data Scientists, Business Analysts, and Data Engineers eager to delve into the world of data visualization and analysis using Tableau.
Previous experience with data analysis tools and basic understanding of data science concepts are beneficial but not essential for this course.
Embark on an insightful journey to master Tableau for Data Science workflows, learning how to effectively visualize, analyze, and glean insights from large datasets.

Syllabus

Data Exploration and Visualization with Tableau in Data Science
This module is meticulously designed to empower participants with essential skills in data exploration and visualization using Tableau within the dynamic realm of data science. Participants will learn cutting-edge data visualization techniques, positioning themselves as adept practitioners in advanced analytics.

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

Related Courses

3D Data Visualization for Science Communication (Coursera) Coursera
University of Illinois at Urbana-Champaign

3D Data Visualization for Science Communication (Coursera)

This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.

Nov 30th 2026
4 Weeks
Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Nov 23rd 2026
5-12 Weeks
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Nov 30th 2026
5-12 Weeks
Visualization for Data Journalism (Coursera) Coursera
University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Nov 30th 2026
5-12 Weeks
Ferramentas para Ciência de Dados: Introdução ao R (Coursera) Coursera
FIA Business School

Ferramentas para Ciência de Dados: Introdução ao R (Coursera)

Nossas boas-vindas ao Curso Ferramentas para Ciência de Dados: Introdução ao R. Neste curso, você aprenderá que o mundo evoluiu muito quando o assunto é tomada de decisão baseada em dados e já não é possível comparar a quantidade de informações a que temos acesso atualmente com o que tínhamos disponíveis décadas atrás.

Nov 30th 2026
4 Weeks
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Nov 30th 2026
4 Weeks
Machine Translation (Coursera) Coursera
Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Nov 23rd 2026
5-12 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Nov 23rd 2026
4 Weeks
Math for MBA and GMAT Prep (Coursera) Coursera
Emory University

Math for MBA and GMAT Prep (Coursera)

This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.

Nov 30th 2026
5-12 Weeks
Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Nov 23rd 2026
4 Weeks