Introduction to Tableau Course
There are 3 modules in this course #
Welcome to our Introduction to Tableau course, where you'll uncover the power of data visualizations. Throughout this course, you'll learn how to preprocess data and combine it from multiple tables and sources using Tableau Public. By the end, you'll be equipped with the skills to use data visualization as a robust tool for making informed decisions.
This course is ideal for anyone curious about entry-level roles that require fundamental Tableau skills, such as business intelligence analyst or data reporting analyst positions. While prior experience with Tableau Public is beneficial, it’s not mandatory. Whether you're new to Tableau or looking to solidify your foundational knowledge, this course has you covered. By the end of the course, you will be able to:
- Describe the value of data visualizations in business analytics.
- Preprocess data in Tableau Public.
- Combine data from multiple tables and sources in Tableau Public.
Introduction to Tableau Public #
Module 1: 5 hours to complete
Welcome to the first module! This week, you'll start with a high-level overview of data visualizations, learning what they are, why they are powerful, and how they help in discovering and communicating insights. You'll also dive into Tableau, one of the most popular tools in the industry, by setting up a Tableau Public account, connecting to a data source, and exploring Tableau's components.
What's included #
- 5 videos (13 minutes total)
- 20 readings (112 minutes total)
- 3 quizzes (90 minutes total)
- 1 assignment (47 minutes total)
- 1 discussion prompt (10 minutes total)
Videos
- Welcome to the Course (3 minutes)
- The Business Intelligence Analyst Role (3 minutes)
- Welcome to Week 1 (1 minute)
- Connecting to a Data Source (3 minutes)
- The Data Source Page (3 minutes)
Readings
- What Is Pathstream? (7 minutes)
- Introduction to Tableau Public Course Syllabus (6 minutes)
- How to Be Successful in the Course (6 minutes)
- How to Use Discussion Forums (7 minutes)
- Data Visualizations (6 minutes)
- The Power of Data Visualizations (5 minutes)
- Careers in Data Visualization (9 minutes)
- Data Visualization and Human Perception (6 minutes)
- Datasaurus Dozen (6 minutes)
- Range of Data Viz Goals (7 minutes)
- Data Viz and the Analysis Process (5 minutes)
- Introduction to Tableau Software (8 minutes)
- Tableau Public (6 minutes)
- What Is a User Interface? (6 minutes)
- Tableau vs. Excel (8 minutes)
- Tableau for Analytics (6 minutes)
- Working in Two Tabs (5 minutes)
- Creating a Tableau Account (10 minutes)
- The Data Source Page (9 minutes)
- Week 1 Recap (10 minutes)
Quizzes
- Practice - Data Visualization for BI Analysts (20 minutes)
- Practice - Tableau vs. Excel (25 minutes)
- Practice - Tableau for Analytics (45 minutes)
Assignment
- Introduction to Tableau Public (47 minutes)
Discussion Prompt
- Get to Know Your Classmates - Meet & Greet (10 minutes)
Prepare Data in Tableau Public #
Module 2: 5 hours to complete
Data preparation is crucial for impactful analysis. Clean data ensures credibility and prevents incorrect conclusions. In this module, you'll learn the iterative process of data preparation, focusing on the design-oriented scrutiny required for professional data visualizations in Tableau. By the end, you'll be skilled in preparing data that ensures accurate and compelling visualizations.
What's included #
- 9 videos (34 minutes total)
- 16 readings (105 minutes total)
- 3 quizzes (87 minutes total)
- 1 assignment (47 minutes total)
Videos
- Welcome to Week 2 (2 minutes)
- Rename Fields (4 minutes)
- Hide Fields (2 minutes)
- Pivot Fields (3 minutes)
- Edit Data Types (4 minutes)
- Split a Field (7 minutes)
- Tour de France - Part 1 (3 minutes)
- Tour de France - Part 2 (6 minutes)
- Tour de France - Part 3 (Optional Challenge) (3 minutes)
Readings
- Dirty Data (9 minutes)
- Data Preparation (8 minutes)
- Rename Fields (6 minutes)
- Hide Fields (5 minutes)
- Pivot Fields (8 minutes)
- Optional: Explore the Data Interpreter (9 minutes)
- Classifying Data in Tableau (6 minutes)
- Data Fields in Tableau (5 minutes)
- Tableau Data Types (10 minutes)
- Edit Data Types (7 minutes)
- Overview (6 minutes)
- Calculated Fields (5 minutes)
- Tableau Functions (6 minutes)
- The SPLIT Function (8 minutes)
- Additional Practice Splitting Fields (8 minutes)
- Week 2 Recap (9 minutes)
Quizzes
- Practice - Preprocess the Data Source (30 minutes)
- Practice - Tableau Data Types (35 minutes)
- Practice - Splits (22 minutes)
Assignment
- Prepare Data in Tableau Public (47 minutes)
Multiple Data Sources in Tableau Public #
Module 3: 8 hours to complete
In today's data-driven world, combining multiple data sources is essential for comprehensive analysis. This module teaches you how to connect and combine data sources in Tableau, optimizing performance and creating efficient visualizations. You'll explore various methods to integrate data, opening new avenues for insightful analysis.
What's included #
- 7 videos (31 minutes total)
- 19 readings (112 minutes total)
- 3 quizzes (85 minutes total)
- 2 assignments (97 minutes total)
- 1 discussion prompt (9 minutes total)
Videos
- Welcome to Week 3 (3 minutes)
- Joins (4 minutes)
- Unions (2 minutes)
- Relationships (3 minutes)
- Cross-Database Joins (4 minutes)
- Netflix (15 minutes)
- Congratulations (0 minutes)
Readings
- Accessing Multiple Tables (9 minutes)
- Joins in Tableau (7 minutes)
- Tableau Data Model (8 minutes)
- Unions in Tableau (7 minutes)
- Relationships in Tableau (6 minutes)
- Data Sources (5 minutes)
- Tableau Data Sources (8 minutes)
- Connecting Data Sources (6 minutes)
- Cross-Database Joins (6 minutes)
- Recap: Cross-Database Join Example (8 minutes)
- Data Blends (8 minutes)
- Data Blends vs. Joins (7 minutes)
- Creating a New Tableau Data Source (8 minutes)
- Optimization (9 minutes)
- Live vs. Extract (6 minutes)
- Week 3 Recap (8 minutes)
- Project Overview (6 minutes)
- Course Recap (6 minutes)
- Want to Become a Business Intelligence Analyst? (8 minutes)
Quizzes
- Practice - Accessing Multiple Tables (25 minutes)
- Practice - Accessing Multiple Data Source (30 minutes)
- Practice - Live vs. Extract (30 minutes)
Assignments
- Multiple Data Sources in Tableau Public (42 minutes)
- Preprocess the Employee Dataset (135 minutes)
Discussion Prompt
- [Optional] Share your thoughts on combining data sources (9 minutes)