Data Storytelling with Tableau Course
There are 3 modules in this course #
The Introduction to Tableau course will give you an understanding of the value of data visualizations. You will learn how to preprocess data and how to combine data from multiple tables found within the same data source as well as other data sources in Tableau Public. You will have developed the skills to leverage data visualization as a powerful tool for making informed decisions.
This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Describe the value of data visualizations in the field of business analytics. -Preprocess data in Tableau Public. -Combine data from multiple tables found within the same data source as well as other data sources in Tableau Public.
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Introduction to Tableau Public #
Module 1-5 hours to complete
Module details
Welcome to the first week of the course! This week, you'll start with a high-level overview of data visualizations. Specifically, you'll learn what they are and what makes them so powerful and --- as a result --- why they are such a vital asset when it comes to not only discovering insights but also communicating those insights with stakeholders. The focus will then shift to Tableau, one of the most popular data visualization tools in the analytics industry. In this module, you'll get signed up with a Tableau Public account and then dive right in by connecting to a data source and exploring the different components of Tableau.
What's included #
5 videos20 readings3 quizzes1 assignment1 discussion prompt
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5 videos-Total 11 minutes
- Welcome to the Course-2 minutes-Preview module
- The Business Intelligence Analyst Role-2 minutes
- Welcome to Week 1-1 minute
- Connecting to a Data Source-1 minute
- The Data Source Page-3 minutes
20 readings-Total 135 minutes
- What Is Pathstream?-5 minutes
- Introduction to Tableau Public Course Syllabus-5 minutes
- How to Be Successful in the Course-5 minutes
- How to Use Discussion Forums-5 minutes
- Data Visualizations-5 minutes
- The Power of Data Visualizations-5 minutes
- Careers in Data Visualization-10 minutes
- Data Visualization and Human Perception-5 minutes
- Datasaurus Dozen-5 minutes
- Range of Data Viz Goals-5 minutes
- Data Viz and the Analysis Process-5 minutes
- Introduction to Tableau Software-5 minutes
- Tableau Public-5 minutes
- What Is a User Interface?-5 minutes
- Tableau vs. Excel-10 minutes
- Tableau for Analytics-5 minutes
- Working in Two Tabs-5 minutes
- Creating a Tableau Account-15 minutes
- The Data Source Page-15 minutes
- Week 1 Recap-10 minutes
3 quizzes-Total 120 minutes
- Practice - Data Visualization for BI Analysts-30 minutes
- Practice - Tableau vs. Excel-30 minutes
- Practice - Tableau for Analytics-60 minutes
1 assignment-Total 50 minutes
- Introduction to Tableau Public-50 minutes
1 discussion prompt-Total 15 minutes
- Get to Know Your Classmates - Meet & Greet-15 minutes
Prepare Data in Tableau Public #
Module 2-5 hours to complete
Module details
As an analyst, data preparation is the most important step for impactful analysis. Without clean data, you can lead an audience to incorrect conclusions, which can ultimately undermine your credibility and even potentially cause harm. Data cleaning is not a perfect process --- a good motto for all analysts is "Question everything!" (Especially your data.) Data preparation is also an iterative process. You start by wrangling dirty data but then move on to smaller, more intentional data preparation --- usually to finalize your analysis or prepare your data for an audience. Preparing data in Tableau requires a different, more design-oriented level of scrutiny when compared with file or database cleaning to finalize the data for presentation purposes. This module will teach you concepts that must be implemented in a professional environment, especially if a data visualization is intended for presentation. Remember, without clean, well-prepared data, data visualizations can point to incorrect conclusions.
What's included #
9 videos16 readings3 quizzes1 assignment
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9 videos-Total 40 minutes
- Rename Fields-1 minute
- Hide Fields-1 minute
- Pivot Fields-3 minutes
- Edit Data Types-4 minutes
- Split a Field-6 minutes
- Tour de France - Part 1-5 minutes
- Tour de France - Part 2-12 minutes
- Tour de France - Part 3 (Optional Challenge)-4 minutes
16 readings-Total 135 minutes
- Dirty Data-10 minutes
- Data Preparation-5 minutes
- Rename Fields-5 minutes
- Hide Fields-5 minutes
- Pivot Fields-15 minutes
- Optional: Explore the Data Interpreter-10 minutes
- Classifying Data in Tableau-5 minutes
- Data Fields in Tableau-5 minutes
- Tableau Data Types-20 minutes
- Edit Data Types-10 minutes
- Overview-5 minutes
- Calculated Fields-5 minutes
- Tableau Functions-5 minutes
- The SPLIT Function-10 minutes
- Additional Practice Splitting Fields-10 minutes
- Week 2 Recap-10 minutes
3 quizzes-Total 105 minutes
- Practice - Preprocess the Data Source-30 minutes
- Practice - Tableau Data Types-45 minutes
- Practice - Splits-30 minutes
1 assignment-Total 50 minutes
- Prepare Data in Tableau Public-50 minutes
Multiple Data Sources in Tableau Public #
Module 3-8 hours to complete
Module details
As the amount of data in the world exponentially grows, the need for combining data sources becomes ever more critical. Understanding how to combine data sources opens whole new areas of study. As an analyst, your daily tasks will often include combining various data sources in search of new insightful visualizations. When it comes to connecting data sources in Tableau, the amount of data you are connecting can affect the performance of your data visualizations. Because of this, Tableau offers multiple ways to combine data that help analysts optimize workflow and create more efficient data visuals.
What's included #
7 videos19 readings3 quizzes2 assignments1 discussion prompt
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7 videos-Total 33 minutes
- Welcome to Week 3-2 minutes
- Joins-4 minutes
- Unions-3 minutes
- Relationships-4 minutes
- Cross-Database Joins-4 minutes
- Netflix-14 minutes
- Congratulations-0 minutes
19 readings-Total 190 minutes
- Accessing Multiple Tables-10 minutes
- Joins in Tableau-10 minutes
- Tableau Data Model-10 minutes
- Unions in Tableau-10 minutes
- Relationships in Tableau-10 minutes
- Data Sources-10 minutes
- Tableau Data Sources-10 minutes
- Connecting Data Sources-10 minutes
- Cross-Database Joins-10 minutes
- Recap: Cross-Database Join Example-10 minutes
- Data Blends-10 minutes
- Data Blends vs. Joins-10 minutes
- Creating a New Tableau Data Source-10 minutes
- Optimization-10 minutes
- Live vs. Extract-10 minutes
- Week 3 Recap-10 minutes
- Project Overview-10 minutes
- Course Recap-10 minutes
- Want to Become a Business Intelligence Analyst?-10 minutes
3 quizzes-Total 90 minutes
- Practice - Accessing Multiple Tables-30 minutes
- Practice - Accessing Multiple Data Source-30 minutes
- Practice - Live vs. Extract-30 minutes
2 assignments-Total 185 minutes
- Multiple Data Sources in Tableau Public-50 minutes
- Preprocess the Employee Dataset-135 minutes
Additional Learning opportunities:
here are 4 modules in this course #
The Communicating Data Insights with Tableau Course focuses on reporting best practices using Tableau. You will learn how to create interactive dashboards and craft compelling presentations based on your data analysis. This course will also teach you best practices for data storytelling to convey business insights and provide stakeholders with the data to effectively explore and build their own insights.
This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Identify data storytelling best principles to convey business insights. -Build interactive dashboards and stories in Tableau Public. -Utilize data storytelling design principles to craft a compelling presentation so stakeholders can explore and disaggregate data to build their own insights.
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Developing Insights #
Module 1-5 hours to complete
Module details
Welcome to Communicating Data Insights with Tableau, the eighth and final course in the Tableau Business Intelligence Analyst Professional Certificate series. In the first week of this course, you will embark on the journey of transforming observed patterns and trends into valuable insights. This week will prepare you to distinguish insights from patterns, effectively recognize underlying patterns in data, and develop impactful insights from these observations.
What's included #
7 videos15 readings4 assignments1 discussion prompt
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Creating and Designing Dashboards #
Module 2-7 hours to complete
Module details
Welcome to week two of Communicating Data Insights with Tableau! This week will focus on dashboard creation and design. You will learn to navigate the Tableau dashboard interface and understand its elements. You'll build dashboards and then learn how to enhance them with interactive features. You will learn how to customize your dashboards using tooltips, annotations, and best design practices, equipping you to craft both visually appealing and insightful dashboards.
What's included #
10 videos20 readings6 assignments1 plugin
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Crafting Stories From Insights #
Module 3-5 hours to complete
Module details
Welcome to the third week of Communicating Data Insights with Tableau. This module begins with an introduction to Tableau stories, which is a tool that empowers you to create impactful data narratives. You will learn the essentials of navigating and utilizing Tableau stories. Then, you will dive into the art of data storytelling, exploring a comprehensive framework that includes identifying your target audience and the key message, selecting the most effective data visualizations, structuring your narrative, and applying best practices to craft compelling Tableau stories. By the end of this module, you will be skilled in transforming data insights into engaging and informative stories, tailored to your audience and objectives.
What's included #
9 videos12 readings3 assignments
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Certificate Wrap Up #
Module 4-4 hours to complete
Module details
Welcome to the final week of Communicating Data Insights with Tableau. This week marks the culmination of your learning journey, where you'll apply your skills in a project with the Railway Travel Company. This project is your opportunity to showcase your proficiency in communicating data insights using the techniques and knowledge gained throughout the course. After completing the project, you'll reflect on your journey through this course and the entire certificate. Additionally, this week provides optional resources, designed to support your career advancement and prepare you for the ne