Data Visualization and Communication with Tableau by Duke University (Coursera)

The Excel to MySQL: Analytic Techniques for Business Specialization at Duke University includes a course on data visualization using Tableau. The purpose of this course is to prepare students to become experts at expressing the practical consequences of their data analytics that have an impact on business. It trains them to utilize Tableau to communicate important findings and to streamline their study by posing the correct questions. Students study storyboarding techniques and learn how to use Tableau to depict the outcomes of data analysis or machine learning models so that both technical and non-technical stakeholders can more easily understand them.

The most used visualization tool on the market is Tableau. This course looks at many Tableau capabilities that may be used to produce powerful visualizations that state results succinctly and clearly. The course should take about 25 hours to finish if spread out across 5 weeks. It includes a culminating project that is evaluated by peers to gauge how well students have learned the material. The course covers the following topics:

• Creating graphs that are used in business analysis
• Transforming data in Tableau
• Designing business dashboards with Tableau
• Creating and delivering compelling business presentations
• How to craft the right questions to ensure your analysis projects succeed
• Writing calculations and equations in Tableau
• Adapting visualizations to make them maximally communicative

Key Highlights:

• Understand how to structure your data analysis projects to ensure that they lead to actionable advice that can be presented to stakeholders
• Learn to communicate the results and implications of your quantitative analyses visually in a way that non-technical people can understand
• Publish online business dashboards with Tableau
• Learn a set of tools and concepts that you can use to optimize your visualizations and your presentation style
• Series of practice exercises that involves doing analyses on a sample data set

Duration: Approx. 25 hours
Rating: 4.7
Link: https://www.coursera.org/learn/analytics-tableau