Today, Companies constantly keep finding ways to make their operations more efficient. They are leveraging big data, business intelligence (BI), and business analytics to improve their operations by minimizing the time that they used to spend examining a process before. Tableau has recently become one of the most popular tools for data analysis and BI. It is a visual analytics and reporting service empowering individuals and organizations to make the most of their data using meaningful visualizations. Other than data analysts, Tableau comes in handy for people in other roles such as "BI developers" and "business analysts" who are responsible for data processing and understanding for businesses. Tableau has become a fast-growing business intelligence tool among other competitors.
TechClass Tableau online course is designed to help you learn the essential skills of data visualization and practice communicating with data using Tableau. You will learn how to create visualizations, apply design principles, organize data, design dashboards, and convey insights through storytelling with data to empower more meaningful business decisions and effective business intelligence solutions. Moreover, you will get hands-on experience with data visualization, data transformation, data modeling, and creating reports and dashboards through Tableau Desktop. By the end of this course, you will be prepared to enter the fantastic world of data analysis and business intelligence towards fantastic job opportunities in the industry to create opportunities for key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
Learning outcomes
- Get familiar with the concepts of business intelligence (BI), business analytics, data analysis, and how they are related
- Get familiar with the differences between traditional and modern BI
- Get proficient in importing different types of data into Tableau Desktop from local and web sources
- Learn how to create plots and visuals like bar charts, pie charts, scatter plots, and maps and customize them
- Learn how to create new features
- Learn how to work with date features
- Practice with quick sorting, filtering, trend lines, reference lines, and measures in Tableau
- Learn how to forecast time-series data using the Tableau Forecasting option
- Learn how to predict continuous variables like price using the Tableau Trend Line option
- Get familiar with the best practices of presenting data in Tableau Desktop
- Learn how to create dashboards and stories, as well as how to configure and manage them
Table of contents
Chapter 1: Intro to Course
- 1.1. Welcome!
- 1.2. About TechClass Data Science Department
- 1.3. Learning Outcomes
- 1.4. Your Expectations, Goals, and Knowledge
- 1.5. Abbreviations
- 1.6. Copyright Notice
Chapter 2: Introduction to Business Intelligence
- 2.1. What is Business Intelligence?
- 2.2. Business Intelligence vs. Business Analytics
- 2.3. BI’s Big Four
- 2.3. Traditional vs. Modern BI
- 2.4. Overview of Data Analysis
- 2.6. Quiz
Chapter 3: Getting Started with Tableau
- 3.1. What is Tableau?
- 3.2. Parts of Tableau
- 3.3. How Tableau Matches Your Role
- 3.4. Set Up Tableau
- 3.5. Install and Run Tableau Desktop
Chapter 4: Load and Visualize Data: Getting Started
- 4.1. Introduction
- 4.2. Connecting to Data Sources
- 4.3. Loading Data
- 4.4. Loading Workbooks
- 4.5. Navigating Tableau
- 4.6. Dimensions and Measures
- 4.7. A Tour of the Interface
- 4.8. Your First Visualization
- 4.9. Improving the Visualization
- 4.10. Bringing It All Together
Chapter 5: Customizing Visualizations
- 5.1. Introduction
- 5.2. Filtering Through Selection
- 5.3. Filter Shelf: Categorical Fields
- 5.4. Filter Shelf: Numerical Fields
- 5.5. Filter Date
- 5.6. Interactive Plots with Filter
- 5.7. Quick Sorting
- 5.8. Sorting by Toolbar
- 5.9. Sorting from Columns and Rows Shelves
- 5.10. Create Calculated Fields
Chapter 6: Advanced Analytics
- 6.1. Introduction
- 6.2. Mapping Your Data: Geo Measures
- 6.3. Mapping Your Data: Geo Dimensions
- 6.4. Symbol Map options
- 6.5. Custom Geocoding
- 6.6. Working with Dates: Date Properties
- 6.7. Working with Dates: Visualizing Date
- 6.8. Working with Dates: Dates Functions
- 6.9. Reference Lines
- 6.10. Trend Line: Part I
- 6.11. Trend Line: Part II
- 6.12. Forecasting
- 6.13. Quiz
Chapter 7: Presenting Your Data
- 7.1. Best Practices for Formatting Your Visualizations
- 7.2. Use Color Purposefully
- 7.3. Use Readable Fonts
- 7.4. Use Tooltips
- 7.5. Adjust Axes
- 7.6. Monitor Currency
- 7.7. Quiz
Chapter 8: Dashboards
- 8.1. Dashboards
- 8.2. Create a Dashboard
- 8.3. Interactive Dashboards with Filter
- 8.4. Dynamic Title
- 8.5. Floating Plots, Images, and Web Pages
- 8.6. Exercise
- 8.7.Quiz
Chapter 9: Stories
- 9.1. Stories
- 9.2. Create a Story
- 9.3. Customize Your Story
- 9.4. Add a Text Object
- 9.5. Format Your Story
- 9.6. Adjust Layout
- 9.7. Export and Presentation
- 9.8. Exercise
- 9.9. Quiz
Chapter 10: Final Tasks
- 10.1. Project
- 10.2. Self-study Essay
Chapter 11: Finishing the Course
- 11.1. What We Have Learned
- 11.2. Where to Go Next?
- 11.3. Your Opinion Matters
- 11.4. Congrats! You did it!
Brochure
