Data Visualization and Communication with Tableau
- 4.7
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Approx. 25 hours to complete
Course Summary
Learn how to use Tableau to analyze and visualize data and gain insights into complex business problems.Key Learning Points
- Learn to use Tableau to create interactive visualizations and dashboards
- Understand how to connect and analyze various data sources
- Discover how to use advanced Tableau features such as calculations and mapping
- Learn how to communicate insights and findings effectively through data storytelling
Job Positions & Salaries of people who have taken this course might have
- USA: $65,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €25,000 - €50,000
- USA: $65,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €25,000 - €50,000
- USA: $70,000 - $130,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €30,000 - €60,000
- USA: $65,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €25,000 - €50,000
- USA: $70,000 - $130,000
- India: ₹5,00,000 - ₹15,00,000
- Spain: €30,000 - €60,000
- USA: $75,000 - $140,000
- India: ₹6,00,000 - ₹18,00,000
- Spain: €35,000 - €70,000
Related Topics for further study
Learning Outcomes
- Create interactive visualizations and dashboards using Tableau
- Analyze and connect various data sources
- Effectively communicate insights and findings through data storytelling
Prerequisites or good to have knowledge before taking this course
- Basic understanding of data analysis
- Access to Tableau software
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Hands-on exercises
Similar Courses
- Python for Data Science
- Data Visualization with Python
- Data Analysis with R
Related Education Paths
Notable People in This Field
- Head Coach, The Data School
- Data Visualization Designer
Related Books
Description
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.
Outline
- About this Specialization and Course
- About this Specialization
- Welcome to the Course!
- Specialization Overview
- Course Overview
- Special Thanks!
- About the Course Team
- Asking The "Right Questions"
- Tips for Becoming a Data Analyst
- Asking the Right Questions
- Rock Projects
- S.M.A.R.T. Objectives
- Listening to Stakeholders During Elicitation
- Stakeholder Expectations Matter
- Using SPAPs to Structure Your Thinking, Part 1
- Using SPAPs to Structure Your Thinking, Part 2
- Week 1 Additional Resources
- SPAP Graphic
- Week 1 Quiz
- Data Visualization with Tableau
- Use Data Visualization to Drive Your Analysis
- Why Tableau?
- Meet Your Salary Data
- Meet Your Dognition Data
- Our Analysis Plan
- Salaries of Data-Related Jobs: Your First Graph
- Formatting and Exporting Your First Graph
- Digging Deeper Using the Rows and Columns Shelves
- Understanding the Marks Card
- Removing Outliers Using Scatterplot and Filtering and Groups
- Analyzing Data-Related Salaries in Different States Using Filtering and Groups
- When to Use Line Graphs
- Dates as Hierarchical Dimensions or Measures
- Analyzing Data-Related Salaries Over Time Using Date Hierarchies
- Analyzing Data-Related Salaries Over Time Using Trend Lines
- Analysing Data-Related Salaries Over Time Using Box Plots
- Tableau Instructions
- Salary Data Set, Description, and Analysis Plan
- Dognition Data Set, Description, and Analysis Plan
- The Effects of Outliers Video
- Introduction to Linear Regression
- Week 2 Practice Exercises
- Week 2 Quiz
- Dynamic Data Manipulation and Presentation in Tableau
- Customizing and Sharing New Data in Tableau
- Tableau Calculation Types
- How to Write Calculations
- Calculations that Make Filtering More Efficient
- Identifying Companies that Pay Less than the Prevailing Wage
- Blending Price Parity Data with Our Salary Data
- Adjusting Data-related Salaries for Cost of Living
- Calculating Which States Have the Top Adjusted Salaries within Job Subcategories
- Using Parameters to Define Top States
- Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories
- Designing a Dashboard to Determine Where You should Apply for Data-related Job
- Visual Story Points in Tableau
- Data Sets Needed in Week 3
- Week 3 Additional Resources: Examples of Tableau Dashboards and Stories
- Week 3 Practice Exercises
- Week 3 Quiz
- Your Communication Toolbox: Visualizations, Logic, and Stories
- Using Visualization Science to Influence Business Decisions
- The Storyboarding Hourglass
- Making Your Data Story Come Alive
- Storyboarding Your Presentation
- The Best Stress-Testers are Teams
- Overgeneralization and Sample Bias
- Misinterpretations Due to Lack of Controls
- Correlation Does Not Equal Causation
- How Correlations Impact Business Decisions
- Choosing Visualizations for Story Points
- The Neuroscience of Visual Perception Can Make or Break Your Visualization
- Misinterpretations Caused by Colorbars
- Visual Contrast Directs Where Your Audience Looks
- Formatting Slides to Communicate Data Stories
- Formatting Presentations to Communicate Data Stories
- Delivering Your Data Story
- Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation
- Week 4 Quiz
- Final Project
- Background Information for Peer Review Assignment
Summary of User Reviews
Discover the power of data analytics with Tableau in this comprehensive course. Users have praised the course for its engaging content and practical examples.Key Aspect Users Liked About This Course
Many users found the practical examples and exercises to be helpful in gaining a better understanding of data analytics and Tableau.Pros from User Reviews
- In-depth coverage of Tableau software
- Engaging and practical course content
- Hands-on exercises to reinforce learning
- Great for both beginners and intermediate users
- Flexible learning options with online and offline access
Cons from User Reviews
- Some users found the pace of the course to be too slow
- Limited interaction with instructors
- Not suitable for advanced users
- Lack of focus on statistical concepts
- Some technical difficulties with the online platform
Daniel Egger
4.7 Raiting
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