Analyzing Data in Tableau
Take your Tableau skills up a notch with advanced analytics and visualizations.
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Course Description
Take your Tableau skills up a notch with advanced analytics and visualizations. In this course, you’ll learn how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend your data using Calculated Fields. You’ll also apply your new skills to complete a customer analytics case study. Through hands-on activities, you’ll learn how to create bins, customize filters and interactions, and apply quick table calculations. Finally, you’ll learn power user techniques, including how to slice and dice data and apply dynamic sets and groups—bringing you one step closer to being Tableau Desktop Specialist certification-ready.
- 1
Preparing for Analysis
FreeLearn best practices for organizing fields into dimensions and measures and how to configure date and time fields for trend analysis. All the while, you’ll use Calculated Fields, quick table calculations, and highlight actions to elevate your visualizations and reveal the hidden insights. - 2
Exploring Visualizations
In this chapter, you’ll get to know more about Divvy users. Learning about them provides valuable information toward successful and continued engagement. To do this, you’ll build bar charts, KPI charts, and histograms with variable bin width. You’ll create additional insights by adding filters to your visualizations. - 3
Mapping Analysis
Dive deeper into maps and elevate geographic data with layers and density. You'll customize Tooltips and learn how to embed them with more information. You'll also learn more about Quick Table Calculations and apply them to your visualizations. - 4
Groups, Sets, and Parameters
Expand your Tableau toolbox with groups, sets, and parameters. You'll create groups using Lasso selection and Calculated Fields. You'll also use Parameters to enable users to dynamically input changes to your visualizations. Finally, you'll create Sets and compare your findings to an external weather data source.
In the following tracks
Tableau FundamentalsDatasets
Tableau WorkbooksPrerequisites
Introduction to Tableau
Hadrien Lacroix
Curriculum Manager at DataCamp
Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
Sara Billen
Curriculum Manager at DataCamp
Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passionate about education, data science, and business and loves that she is able to combine all of these disciplines in her job as curriculum manager at DataCamp.
Celia Fryar
Celia
Celia is a data diver who thrives on equipping students to create compelling data stories packed with actionable insights. She creates educational experiences, both onsite and online, for global audiences in data analytics, data science and network engineering.
Celia is an award-winning systems engineer and was ranked as #1 global data SME instructor in 2019. As part of the Saudi Crown Prince's MiSK initiative, she was invited as the first woman to openly teach data analysis and Python in KSA.
She's authored interactive courseware including Tableau, PowerBI, Qlik, SQL and Excel. Her favorites are Tableau, SQL and Python! She loves scuba, piano and flying!
Lis Sulmont
Curriculum Manager at DataCamp
Lis is a Curriculum Manager at DataCamp. She holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. Lis is passionate about teaching all things related to data and improving the accessibility of these topics.
What do other learners have to say?
“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyds Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics, USAA
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