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Multi-Table data analysis with Tableau

Customer Analysis

Angela Tao

Are you looking to create interactive dashboards to visualize data? This Guided Project was designed to help sales and data analysts who want to gain a solid understanding of Tableau and learn how to create impactful data visualizations. More specifically in this 1 hour long project based course, you will learn how to set up Tableau desktop and import an e-commerce dataset, link and create single visualization on multiple data sources in Tableau, and last but not least create interactive dashboard for customer analysis. To achieve this you will analyze customer data from an E-commerce platform using Tableau Desktop. Tableau Desktop is a user-friendly and powerful tool that allows you to load, link, and visualize multiple data sources. Additionally, you will explore multi-way interactivity, which enables complex Tableau dashboards to drill down into data at different levels for deeper analysis. No advanced prerequisites are required, although a basic understanding of data analysis concepts, such as visualization techniques and data modelling, is recommended. Now let's get going!

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches Tableau Desktop, which is a user-friendly tool for loading, linking, and visualizing multiple data sources, making it highly relevant for data analysis

Develops skills in creating interactive dashboards for customer analysis, which is a core skill for professionals in sales and marketing

Explores multi-way interactivity, which enables complex Tableau dashboards to drill down into data at different levels for deeper analysis

Requires a basic understanding of data analysis concepts, such as visualization techniques and data modeling, which may be a barrier for absolute beginners

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Reviews summary

Hands-on tableau for multi-table customer analysis

According to learners, this course provides a highly practical hands-on project focused on multi-table data analysis using Tableau. Many found it an excellent introduction or a solid starting point for analysts needing to work with data from different sources. The course is praised for its clear, step-by-step guidance and the opportunity to build interactive dashboards. While relatively short, students feel it is effective and well-structured, delivering tangible skills applicable to real-world scenarios, particularly in customer analysis.

Compact, time-efficient, but potentially limited.

"The course is very short (around an hour), which is great for a quick skill boost."

"It's concise and gets straight to the point, delivering a specific skill set efficiently."

"While the hour is packed with info, I wish it were slightly longer to delve deeper into some advanced features."

"Good for a quick project but doesn't replace a full course on Tableau."

Instructions are easy to follow and well-explained.

"The instructor's explanations were very clear, making complex steps easy to understand and replicate."

"The guidance provided throughout the project was concise and kept me on track without unnecessary details."

"I appreciated the clear, step-by-step approach; it was easy to follow along even at a fast pace."

"Instructions for setting up Tableau and importing data were simple and effective."

Serves as a great starting point for beginners.

"This was an excellent introduction to Tableau, showing how powerful it can be even with just a short project."

"As a beginner, I found the step-by-step instructions very helpful and not overwhelming."

"It's a solid starting point for anyone looking to get into data analysis and visualization with Tableau."

"Perfect for someone who has basic data concepts but is new to the Tableau interface and multi-table analysis."

"I now feel much more confident in starting to use Tableau after completing this guided project."

Effectively teaches linking and analyzing multiple tables.

"Learning how to link and analyze data from multiple sources in Tableau was exactly what I needed, and this project covered it well."

"The course clearly explained the process of joining different data tables to perform comprehensive customer analysis."

"I found the section on multi-table data sources particularly valuable and easy to follow."

"This project specifically addressed the challenges of working with distributed data, which is common in real-world scenarios."

Course centers around a useful, practical project.

"The hands-on project using real e-commerce data was incredibly helpful for applying the concepts immediately."

"I really enjoyed working through the practical example; it made the learning process much more engaging and understandable."

"The best part was the practical exercise creating a customer analysis dashboard from scratch."

"This project provided a great opportunity to get hands-on experience with multi-table data in Tableau."

"I could immediately use the skills learned in the project for my own work tasks."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Multi-Table data analysis with Tableau: Customer Analysis with these activities:

Review Data Visualization Principles

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Reviewing data visualization principles will help you better understand how to create effective and impactful dashboards in Tableau.

Browse courses on Data Visualization

Show steps

Read articles on chart types and their uses.
Study examples of good and bad visualizations.
Practice identifying misleading visualizations.

Review 'The Visual Display of Quantitative Information'

Show steps

Reviewing 'The Visual Display of Quantitative Information' will provide a deeper understanding of the principles behind effective data visualization.

View The Visual Display of Quantitative Information,... on Amazon

Show steps

Read the book and reflect on the examples.
Analyze existing dashboards using Tufte's principles.
Discuss the book's concepts with other data analysts.

Follow Tableau Tutorials on Data Blending

Show steps

Following tutorials on data blending will provide hands-on experience in linking multiple data sources within Tableau, a key skill taught in the course.

Show steps

Find tutorials on Tableau's website or YouTube.
Replicate the steps in the tutorial with sample data.
Apply the techniques to your own datasets.

Four other activities

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Practice Creating Different Chart Types in Tableau

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Practicing creating various chart types will reinforce your understanding of Tableau's capabilities and improve your ability to choose the right visualization for your data.

Show steps

Load sample data into Tableau.
Create bar charts, line charts, and scatter plots.
Experiment with different chart options and settings.

Review 'Storytelling with Data'

Show steps

Reviewing 'Storytelling with Data' will enhance your ability to communicate insights effectively through Tableau dashboards.

View Storytelling with Data: A Data Visualization... on Amazon

Show steps

Read the book and take notes on key concepts.
Apply the principles to your Tableau dashboards.
Share your dashboards with others and get feedback.

Analyze Publicly Available E-commerce Data

Show steps

Starting a project with publicly available e-commerce data will allow you to apply the skills learned in the course to a real-world scenario and create a portfolio piece.

Show steps

Find an e-commerce dataset on Kaggle or UCI.
Import the data into Tableau.
Create visualizations to explore customer behavior.
Build an interactive dashboard to present your findings.

Create a Customer Segmentation Dashboard

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Creating a customer segmentation dashboard will allow you to demonstrate your ability to analyze customer data and create actionable insights using Tableau.

Show steps

Identify key customer segments based on purchase history.
Create visualizations to compare and contrast segments.
Design an interactive dashboard to explore segment characteristics.
Document your findings and recommendations.

Career center

Learners who complete Multi-Table data analysis with Tableau: Customer Analysis will develop knowledge and skills that may be useful to these careers:

Sales Analyst

A sales analyst examines sales data to identify trends and opportunities for improvement. The course, designed for sales and data analysts, teaches how to create interactive dashboards to visualize data, which is a core skill for a sales analyst. The course will show you how to analyze customer data from an E-commerce platform using Tableau Desktop. You will also explore multi-way interactivity, which enables complex Tableau dashboards to drill down into data at different levels for deeper analysis, helping you to become a more effective sales analyst.

See salaries and explore the career path for Sales Analyst

E-commerce Analyst

An e-commerce analyst is responsible for analyzing online sales data. The course may be useful since it focuses on analyzing customer data from an e-commerce platform using Tableau Desktop. An e-commerce analyst would find this extremely helpful. You will also learn how to set up Tableau desktop and import an e-commerce dataset, link multiple data sources in Tableau, and create interactive dashboards specifically for customer analysis. These are essential skills for an e-commerce analyst.

See salaries and explore the career path for E-commerce Analyst

Data Analyst

A data analyst interprets data, analyzes results using statistical techniques, and provides ongoing reports. As a data analyst, creating impactful data visualizations is a key part of communicating findings to stakeholders. This course helps you gain a solid understanding of Tableau and how to create interactive dashboards, specifically for customer analysis, which is directly applicable to the responsibilities of a data analyst. The course focuses on using Tableau to load, link, and visualize multiple data sources, skills that are essential for success as a data analyst.

See salaries and explore the career path for Data Analyst

Retail Analyst

The retail analyst analyzes sales trends, inventories, and customer data to optimize retail operations. As a retail analyst, you will need to communicate data insights effectively. This course shows you how to create interactive dashboards to visualize data. The visualizations are a key tool for presenting findings to stakeholders and driving data-informed decisions. The course provides hands-on experience with Tableau, a widely used tool in the retail industry. The course analyzes customer data from an e-commerce platform, giving you familiarity with retail data.

See salaries and explore the career path for Retail Analyst

Business Intelligence Analyst

Business intelligence analysts use data to understand market and business trends. Their analysis informs decisions across their organizations. This course helps you learn how to set up Tableau desktop and import an e-commerce dataset. This would be useful in the role of business intelligence analyst. You learn how to create single visualizations, link multiple data sources in Tableau, and create interactive dashboards for customer analysis. Those who want to become a business intelligence analyst should take this course.

See salaries and explore the career path for Business Intelligence Analyst

Marketing Analyst

Marketing analysts measure and evaluate marketing programs and strategies. As a marketing analyst you need to know how to analyze customer data. This course focuses on analyzing customer data from an e-commerce platform using Tableau, which is very relevant to the work of a marketing analyst. The course may be useful because it shows how to use Tableau to load and link multiple data sources. This leads to more complex dashboards that drill down into data at different levels for deeper analysis. Learning these skills may assist you in your role as a marketing analyst.

See salaries and explore the career path for Marketing Analyst

Pricing Analyst

A pricing analyst determines optimal pricing strategies for products or services. The course helps you gain a solid understanding of Tableau and how to create interactive dashboards for customer analysis. This is directly applicable to the work of a pricing analyst who needs to understand customer behavior and preferences to inform pricing decisions. The course focuses on using Tableau to load, link, and visualize multiple data sources, which will help you become a more effective pricing analyst.

See salaries and explore the career path for Pricing Analyst

Market Research Analyst

The role of a market research analyst is to study market conditions to examine potential sales of a product or service. This course helps you gain a solid understanding of Tableau and how to create impactful data visualizations. This may be useful for a market research analyst who wants to present their findings in a clear and compelling way. By exploring multi-way interactivity to enable complex Tableau dashboards, you can drill down into data at different levels for deeper analysis. This allows you to present key findings to stakeholders.

See salaries and explore the career path for Market Research Analyst

Digital Marketing Specialist

A digital marketing specialist manages online marketing campaigns and analyzes their performance. A digital marketing specialist should take this course. It teaches how to set up Tableau desktop and import e-commerce datasets. You also learn how to link multiple data sources in Tableau. Creating interactive dashboards for customer analysis is key for a digital marketing specialist who wants to optimize marketing strategies based on customer behavior. This course may be useful.

See salaries and explore the career path for Digital Marketing Specialist

Business Systems Analyst

A business systems analyst evaluates business needs and processes, translating them into data-driven solutions. As a business systems analyst, you may be responsible for creating interactive dashboards to visualize data for stakeholders. This course will show you how to set up Tableau and import an e-commerce dataset, which will help you understand how data is structured and can be visualized. Learning how to link and create single visualizations on multiple data sources in Tableau may be useful for your role as a business systems analyst.

See salaries and explore the career path for Business Systems Analyst

Customer Success Manager

The customer success manager ensures customers achieve their desired outcomes. Customer Success Managers need to understand customer behavior and identify opportunities for improvement. This course that focuses on how to create interactive dashboards for visualizing data from multiple sources may be useful to you. You would analyze customer data from an e-commerce platform using Tableau Desktop. The course teaches you to load, link, and visualize multiple data sources. This enhances your ability to monitor customer satisfaction.

See salaries and explore the career path for Customer Success Manager

Data Scientist

Data scientists use advanced analytical techniques to extract insights from data. While the role often requires advanced degrees, the ability to visualize data using tools like Tableau is essential for communicating findings. This course helps you gain a solid understanding of Tableau, specifically in creating interactive dashboards for customer analysis. The course can support a data scientist in presenting complex analysis in an accessible format. The course may be useful if you want to use your findings to inform decision-making.

See salaries and explore the career path for Data Scientist

Management Consultant

Management consultants provide strategic advice to organizations. This course should be useful as it focuses on creating impactful data visualizations through interactive dashboards. Consultants need to be able to analyze data and present findings to clients in a clear and compelling manner. The course shows how to use Tableau Desktop to load, link, and visualize multiple data sources. This helps a consultant communicate insights and recommendations effectively.

See salaries and explore the career path for Management Consultant

Financial Analyst

Financial analysts provide guidance to businesses and individuals about investment decisions. As a financial analyst, you will analyze customer financial data. This course helps you gain a solid understanding of Tableau and how to create impactful data visualizations. You will learn to analyze customer data from an e-commerce platform using Tableau Desktop and explore multi-way interactivity. The course may be useful as it enables complex Tableau dashboards to drill down into data at different levels for deeper analysis.

See salaries and explore the career path for Financial Analyst

Database Administrator

Database administrators maintain and secure databases. They may also need to generate reports or visualizations from the data. The course will show you how to load, link, and visualize multiple data sources. This may be helpful for a database administrator who wants to gain a better understanding of how data is used and presented. The course teaches how to set up Tableau desktop and import an e-commerce dataset. Aspiring database administrators may find this course useful.

See salaries and explore the career path for Database Administrator

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Multi-Table data analysis with Tableau: Customer Analysis.

Storytelling with Data

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Focuses on how to communicate data effectively through visualizations. It provides practical guidance on choosing the right chart types, designing clear and concise visuals, and crafting compelling narratives. It valuable resource for anyone who wants to improve their data storytelling skills and create more impactful presentations. This book is commonly used by business professionals and data analysts.

Storytelling with Data: A Data Visualization Guide...

Paperback

Daphne Draws Data: A Storytelling with Data...

Hardcover

Storytelling with Data: Let's Practice!

Paperback

storytelling with data podcast

Podcast

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(Deutsch) Storytelling mit Daten: Die Grundlagen der...

Paperback

(Italiano) Data storytelling: generare valore dalla...

Kindle Edition

The Visual Display of Quantitative Information...

Save

Classic in the field of data visualization. It explores the principles of effective visual design and provides numerous examples of both good and bad visualizations. While more theoretical than practical, it offers a deep understanding of the underlying principles of data visualization. This book is more valuable as additional reading than as a current reference, providing a strong foundation for understanding data visualization best practices.

The Visual Display of Quantitative Information, 2nd...

Paperback

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Effort

1 hour

Level

Intermediate

Via

Coursera

Institution

Coursera Project Network

Instructor

Angela Tao

Language

English

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches Tableau Desktop, which is a user-friendly tool for loading, linking, and visualizing multiple data sources, making it highly relevant for data analysis

Develops skills in creating interactive dashboards for customer analysis, which is a core skill for professionals in sales and marketing

Explores multi-way interactivity, which enables complex Tableau dashboards to drill down into data at different levels for deeper analysis

Requires a basic understanding of data analysis concepts, such as visualization techniques and data modeling, which may be a barrier for absolute beginners

Multi-Table data analysis with Tableau

Customer Analysis

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Hands-on tableau for multi-table customer analysis

Activities

Career center

Reading list

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