Tableau (15 ECTS)

Objective

Tableau is a visual analytics and reporting service empowering individuals and organizations to make the most of their data using meaningful visualizations. This course is designed to help the student learn the essential skills of data visualization and practice communicating with data using Tableau. The student will learn how to create visualizations, apply design principles, organize data, design dashboards, and communicate insights through storytelling with data to empower more meaningful business decisions and effective business intelligence solutions. By the end of this course, the student will learn data visualization, data transformation, data modeling, and creating reports and dashboards through Tableau Desktop, and creating opportunities for key decision-makers to discover data patterns such as customer purchase behavior and sales trends or production bottlenecks.

This course is 100% virtual, thanks to the comprehensive tutorial videos and content prepared for this course. The student will pass this course after submitting the required quizzes, assignments, and the final project.

Content

Chapter 1: Introduction to Business Intelligence
What is Business Intelligence? – Business Intelligence vs. Business Analytics – Traditional vs. Modern BI – Overview of Data Analysis

Chapter 2: Getting Started with Tableau
What is Tableau? – Parts of Tableau – How Tableau Matches Your Role – Set Up Tableau – Install and Run Tableau Desktop

Chapter 3: Load and Visualize Data: Getting Started
Introduction – Connecting to Data – Loading Data – Loading Workbooks – Navigating Tableau – Dimensions and Measures – A Tour of the Interface – Your First Visualization – Improving the Visualization – Bringing It All Together

Chapter 4: Customizing Visualizations
Introduction – Filtering Through Selection – Filter Shelf: Categorical Fields – Filter Shelf: Numerical Fields – Filter Date – Interactive Plots with Filter – Quick Sorting – Sorting by Toolbar – Sorting from Columns and Rows Shelves – Create Calculated fields

Chapter 5: Advanced Analytics
Introduction – Mapping Your Data: Geo Measures – Mapping Your Data: Geo Dimensions – Symbol Map options – Custom Geocoding – Working with Dates: Date Properties – Working with Dates: Visualizing Date – Working with Dates: Dates Functions – Reference Lines – Trend Line: Part I – Trend Line: Part II – Forecasting

Chapter 6: Presenting Your Data
Best Practices for Formatting Your Visualizations – Use Color Purposefully – Use Readable Fonts – Use Tooltips – Adjust Axes – Monitor Currency

Chapter 7: Dashboards
Create a Dashboard – Interactive Dashboards with Filter – Customize your Dashboard – Add a Tiled Text Box – Add Floating Images and Buttons

Chapter 8: Create Story
Stories – Create a Story – Customize Your Story – Tailor Your Captions – Adjust Layout

Chapter 9: Final Tasks
Project – Self-study Essay

Location and time

Course can be done in own pace in TechClass portal.

Materials

Lecture slides, tutorial videos, quizzes and exercises can be find via study environment.

Teaching methods

This course is 100% virtual, thanks to the comprehensive tutorial videos and content prepared for this course.

The student will pass this course after submitting the required quizzes, assignments, and the final project.

Employer connections

N/A

Exam schedules

Online.

International connections

N/A

Completion alternatives

N/A

Student workload

- Tutorial Videos
- Exercises
- Quiz
- Project
- Self-study

Content scheduling

Up to student her-/himself.

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, satisfactory (1)

Evaluation criteria - satisfactory (1-2)
- The student is familiar with the concepts of business intelligence (BI) and business analytics as well as their differences
- The student is familiar with the differences between traditional and modern BI solutions
- The student is familiar with the basic concepts involved in data analysis
- The student knows how to set up Tableau account and install and run Tableau Desktop
- The student is familiar with the building blocks of Tableau
- The student is familiar with importing basic datasets into Tableau

Assessment criteria, good (3)

Evaluation criteria - good (3-4)
- The student understands the concepts of BI, business analytics, data analysis, and their differences
- The student understands the main building blocks of Tableau and how they are connected
- The student knows how to connect to different data sources in Tableau Desktop
- The student knows how import text, CSV, and Excel data into Tableau Desktop
- The student knows how to apply transformations on data using Tableau Desktop
- The student knows how to visualize data using simple plots such as bar chart and pie chart
- The student is familiar with customizing visualizations in Tableau Desktop

Assessment criteria, excellent (5)

- The student is proficient in importing different types of data into Tableau Desktop from local drive and web sources
- The student understands the structure of transformations in Tableau Desktop and how they work
- The student knows how to apply general transformations, text column transformations, number column transformations, and combine queries
- The student understands quick sorting, filtering, calculated columns, trend lines, reference lines, and measures in Tableau
- The student can visualize different types of data including maps and dates using different types of plots
- The student is familiar with the best practices of presenting data in Tableau Desktop
- The student knows how to create dashboards and stories as well as how to configure and manage them
- The student knows how to export dashboards and share them with people

Assessment methods and criteria

Exercises 60%
Quizzes 10%
Project 20%
Essay 10%

Qualifications

N/A