Tableau For Data Science

Kickstart your Tableau journey with a hands-on challenge! In this video, we’ll work with real-world sales data to identify top-performing employees eligible for a monthly incentive. A perfect first step to get comfortable with Tableau’s interface, basic charts, and real analysis. Download the dataset and follow along!

In this lecture, you’ll learn how to connect your first dataset to Tableau. We’ll walk through the Data Connection Manager, explore data types, and set things up for your first visualization

In this video, you’ll learn how to navigate the Tableau workspace with ease. We’ll explore key areas like dimensions, measures, rows, columns, and the ‘Show Me’ panel—perfect for beginners looking to get comfortable with Tableau quickly.

In this hands-on Tableau tutorial, we dive into the power of calculated fields to solve a practical business problem: identifying top-performing sales representatives across different Indian states. Learn how to multiply units sold with unit price to compute total sales, visualize results using bar charts, and determine who truly deserves the sales incentive.

In this video, we’ll focus on enhancing Tableau charts by working with labels and formatting options. You’ll learn how to add and customize data labels, adjust font styles, tweak alignment, and apply formatting to make your visualizations clearer and more impactful. These small but powerful changes can greatly improve the readability and presentation of your dashboards.

In this video, you’ll learn how to export your Tableau worksheets as images to use in reports, presentations, and documents. We’ll quickly show you how it’s done in the paid version of Tableau and then — as promised — reveal a smart, simple trick to do the same using Tableau Public absolutely free.

By the end of this lesson, you’ll know how to export clean, presentation-ready charts and even adjust titles and legends for a polished look.

Perfect for beginners and anyone learning Tableau without a paid license!

In this lecture, we’ll demystify the concepts of Aggregation, Granularity, and Level of Detail in Tableau. Learn how Tableau groups your numbers, how to control the depth of your analysis using dimensions like Month, Country, and Course Category, and how to fine-tune your visualizations with the Detail shelf — all using our Online Course Enrollment dataset.

In this video, learn how to quickly highlight specific countries and course categories in your Tableau visualizations for faster analysis. We’ll also create a beautiful Area Chart using our online course enrollment dataset to make trends clearer and more impactful. A perfect mix of smart data discovery tips and essential charting skills!

Learn how to use Filters and Quick Filters in Tableau to quickly switch between countries and course categories while analyzing course enrollment data. A must-know tool for clean, flexible, and interactive dashboards!

In this video, get introduced to the Office Avenue dataset. Understand the structure of both Order Master and Order Detail sheets, and learn how to join them in Tableau for seamless analysis in upcoming lectures.

In this video, learn how to connect multiple Excel tables to Tableau, understand the difference between relationships and joins, and switch between Tableau’s logical and physical layers. Essential groundwork before we start building our dashboards!

In this tutorial, we’ll pick up right where we left off and take a closer look at how Tableau handles Inner Joins. You’ll learn how Tableau connects two tables using a common field and what happens when one of those tables has multiple matching rows. No worries if this feels new — we’ll break it down step by step and keep things simple.

In this video, you'll learn how to build interactive maps in Tableau and organize your data using hierarchies. We'll cover how to plot geographic data, drill down through levels, and enhance your visualizations for deeper insights.

In this video, we’ll learn how to create a scatter plot in Tableau to visualize customer sales and profitability. We’ll also see how to apply a single filter, like Year, across multiple worksheets — a valuable technique for maintaining consistency in dashboards and saving time while working with large projects.

You’ll discover:

• How to create a scatter plot using Sales and Profit

• How to adjust shapes, sizes, and colors for better visual insights

• How to apply a filter across multiple sheets using the same data source

• A quick tip to avoid repeating filters manually on every worksheet

By the end of this video, you’ll be able to manage filters efficiently and build cleaner, more connected dashboards in Tableau.

In this lesson, we’ll walk you through the basics of constructing your very first dashboard in Tableau. You’ll learn how to bring together different worksheets, arrange them effectively, and adjust layout settings for a clean, user-friendly design. We’ll also cover how to manage dashboard size settings and add interactive filters to make your dashboards more dynamic and insightful.

Whether you're just starting out or brushing up your Tableau skills, this guided walkthrough will help you get comfortable with dashboard creation and layout management.

What you’ll learn:

• How to add and arrange multiple worksheets on a dashboard

• Adjusting dashboard size and layout options

• Adding interactive quick filters

• Cleaning up legends and improving visual clarity

Let’s get started and give your data a dashboard it deserves.

In this video, we take our Tableau dashboard a step further by adding interactivity to it. You’ll see how clicking on a city can instantly update both the map and the scatter plot on your dashboard. It’s a simple technique that makes your dashboards more dynamic and engaging.

If you’ve built dashboards before but never tried adding interactivity, this is the perfect opportunity to learn how it’s done in a clean and practical way.

What you’ll learn in this video:

• How to turn your map into an interactive filter

• How to link multiple charts for real-time updates

• How to improve your dashboard’s usability without extra effort

In this lesson, we’ll explore Highlight Actions in Tableau and understand how they differ from Filter Actions. You’ll learn how to create an interactive dashboard where clicking a city on a map highlights the corresponding customers in a scatter plot — without removing other data points.

We’ll also address a common issue learners face:
Why doesn’t the highlight work if both sheets don’t share a common field?

Through a clear example, you’ll see why it’s essential to bring the City field into the Details shelf of both sheets for the Highlight Action to function properly.

By the end of this video, you’ll have a strong grasp of:

• The difference between Filter and Highlight Actions

• How to set up a Highlight Action correctly

• Why including common fields in the Details shelf matters for highlights

This concept is an important step towards building dynamic, interactive dashboards in Tableau.

In this introduction, we outline what’s ahead in this section — covering how to work with multiple data sources in Tableau using joins and blends. Understand when and why to use each method.

Learn how Inner, Left, Right, and Full Outer Joins work in Tableau using a simple bank dataset. Understand how to combine data from multiple tables for better, integrated analysis.

Learn how Tableau handles duplicates during joins. Understand one to many relationships and how repeated records are managed in your data connections.

In this lesson, we’ll explore the concept of joining multiple fields in Tableau. You’ll learn why relying on a single field for joins can lead to inaccurate results, and how adding additional fields to your join condition can help you avoid data errors.

We’ll walk through a simple example involving two tables with store-wise order details and itemized sales data. You’ll see what happens when you join using just one field and how it can cause problems — and then how to fix it by using multiple fields for an accurate join.

By the end of this video, you’ll clearly understand:

• What multiple field joins are in Tableau

• Why and when they are necessary

• How to implement them correctly in your data connections

Perfect for: Beginners and anyone new to Tableau’s data joining concepts.

In this lecture, we explore how to blend data in Tableau using a practical scenario from the electronics retail industry. You’ll learn how to combine sales data from Electro World with target data from Gadget Hub, understand primary vs. secondary data sources, set blend relationships using state names, and create a comparative bar chart to analyze performance across India.

In this tutorial, we dive into one of Tableau’s most practical and visually impactful features — the Dual Axis Chart. Picking up right from where we left off in our previous session on data joins and data blending, this lesson focuses on blending data from multiple sources and visualizing them together for better insights.

You’ll learn how to combine Sales data and Sales Targets from two different data sources, manage granularity issues, and build a powerful dual-axis chart that lets you compare actual sales against targets in a clear, interactive way.

Along the way, I’ll show you the importance of synchronizing axes, managing field links during blending, and adjusting chart order for better visual clarity. By the end of this video, you’ll have a handy new skill to enhance your Tableau dashboards and make your data stories stand out.

Key takeaways:

• Real-life application of Data Blending

• Handling multiple levels of granularity

• Step-by-step creation of a Dual Axis Chart

• Synchronizing axes for accurate analysis

• Visual tweaks for better readability

Let’s get started and build something insightful!

In this lecture, we’ll learn how to create a Calculated Field when working with blended data sources in Tableau. Blending data is a common scenario when you have related information coming from multiple systems, and at times you’ll need to perform calculations across these sources.

We’ll walk through the complete process — from setting up the calculation, understanding Tableau’s automatic aggregations, resolving errors, to using the final result in a visualization. Along the way, you’ll also pick up small but useful tricks to manage axes, labels, and chart details for cleaner dashboards.

By the end of this lecture, you’ll be comfortable handling calculated fields in blended data scenarios — an important capability for confident, decision-driven Tableau analysis.

In this video, we kick off an exciting new section of our Tableau course!

We’ll be working with a fresh dataset sourced from Kaggle — one of the world’s largest data science communities. I’ll show you where to get the dataset, explain a bit about Kaggle and how you can use it for your own practice, and let you know how to access the data for this course.

Download the attached dataset from this video
We’ll be using this dataset in the upcoming lectures, so make sure to download it and keep it ready!

In this hands-on lesson, we’ll solve a real-world data challenge using Relationships in Tableau—no joins, no blends! You're a data scientist at a Brazilian e-commerce company tasked with plotting sellers on a map and visualizing the total payments received from customers.

We'll guide you through:

• Understanding and preparing the data model

• Linking sellers to their geo-locations

• Pulling payment data from a separate table

• Renaming and organizing datasets for clarity

• Building a dynamic, street-level map in Tableau

• And learning when to use relationships vs. joins

By the end, you’ll not only have a visually compelling map but also a deeper grasp of Tableau's Logical Data Model and its flexibility in handling complex schema with ease.

In this video, you'll download and explore the practice dataset we'll be using throughout this section. The data represents a fictional Indian bank's customer information and includes fields like Customer ID, Age, Gender, Region, Income Bracket, and more.

You’ll learn what each column represents and how this dataset will support the upcoming lessons on table calculations, dashboards, and data storytelling in Tableau.

Note: The dataset is available under the "Downloadable Resources" section of this video.

In this lecture, learn how to assign geographic roles in Tableau to fields like state names, enabling you to create dynamic, interactive maps. You'll understand why Tableau sometimes treats geographic data as plain text and how to correct it by manually setting geographic roles. Watch step-by-step as we transform state data into a clear, color-coded map and display the number of customers per region using simple techniques — a vital skill for dashboard creation and data storytelling.

In this session, we begin our demographic segmentation by analyzing customer gender using a pie chart in Tableau. You'll learn how to visualize gender-wise distribution, switch from raw counts to percentages using the "Percent of Total" table calculation, and understand why percentages are often more impactful for comparison. This is also your first hands-on experience with table calculations in Tableau.

In this lesson, we dive into demographic analysis using Tableau by creating age-based bins and visualizing age distribution.

You'll learn:

• Why treating Age as a category (dimension) is more insightful than as a raw number.

• How to create bins in Tableau to group ages into meaningful ranges (e.g., 20–25, 25–30, etc.).

• How to visualize these age groups using bar charts for clearer interpretation.

• Why we prefer percentages over absolute values when building dashboards.

• Best practices in formatting and labeling for better storytelling with your data.

This hands-on session is perfect for anyone looking to segment customer data meaningfully and present it with clarity using Tableau.

By the end of this video, you'll be able to:

• Use binning to break down continuous variables.

• Make your demographic insights visually compelling and dashboard-ready.

In this lesson, we explore how to leverage parameters in Tableau to bring flexibility and interactivity to your dashboards. Building on the age distribution visualization from the previous session, you’ll learn how to allow users to dynamically adjust bin sizes with a simple parameter control.

We’ll cover:

• What parameters are and how they work in Tableau

• How to create a parameter to control bin intervals

• Why parameters enhance data exploration and user experience

By the end of this video, you’ll be able to use parameters confidently to create more dynamic and user-friendly visualizations.

In this lecture, we begin by revisiting the concepts of Bins and Parameters — but this time, applying them to the Balance field as a quick revision exercise from the previous lesson. This short recap helps reinforce your understanding and ensures you’re confident using these tools across different numerical fields.

Once that’s done, we introduce a new chart type — the Tree Map — using the Income Bracket dimension. You’ll learn how to build a tree map using Tableau's Show Me feature, customize it for clearer insights, and format it to make it visually appealing.

By the end of this session, you'll have:

• Strengthened your grasp of bins and parameters

• Created a well-formatted, insightful tree map

• Completed all the worksheet-level visualizations for your dashboard

Next up, we bring it all together — dashboard creation begins in the following lecture!

In this tutorial, we bring together everything we've created so far into one powerful Customer Segmentation Dashboard using Tableau. From maps and pie charts to distribution plots and treemaps — we walk you through the exact steps to design a clean, functional, and visually appealing dashboard.

You’ll learn:

• How to lay out multiple worksheets into one dashboard

• Tips to format and resize elements for a polished look

• How to add and manage parameter controls

• Common layout issues and how to fix them

• Best practices for dashboard organization

By the end of this video, you’ll have a working dashboard ready — and the confidence to build your own.
Now it’s your turn — open Tableau and start bringing your data to life!

In this lesson, we take your Tableau dashboard to the next level by adding powerful interactivity. You'll learn how to use filters, selections, and parameter controls to explore your data dynamically — whether it's customer distribution across Rajasthan, Maharashtra, Madhya Pradesh, and Gujarat, or patterns across High, Middle, and Low Income groups.

We’ll walk through using dashboard actions, applying filters through visuals, and removing distracting tooltips for a cleaner user experience. By the end of this session, you’ll be able to click, explore, and uncover hidden insights right from your dashboard.

Put Tableau in the analyst’s seat and learn how to read, question, and translate dashboard visuals into clear business insights. Working with a pre-built segmentation dashboard—complete with maps, bar charts, pie charts, distributions, and treemaps—you’ll practice a repeatable workflow for data analysis directly inside Tableau.

By the end of this bite-sized session you’ll know how to:

• use built-in filters, highlights, and parameters to isolate slices of data in real time;

• compare any region or demographic segment to the overall baseline and spot meaningful gaps;

• interpret income, age, and gender visuals to frame quick strategic recommendations (e.g., attracting more female customers);

• summarize findings in a tight narrative that executives can act on immediately.

This lecture keeps the focus on Tableau’s analytical power—no extra spreadsheets, no coding—just you, the dashboard, and a proven approach to turning visualized data into actionable stories.

In this lesson, we explore how to turn a fully interactive Tableau dashboard into a compelling data-driven storyline. You’ll learn how to use Tableau’s Story feature to guide your audience through key insights, add captions for context, and use annotations to highlight important patterns.

Rather than analyzing every detail of the dataset, the focus here is on helping you understand how to structure and present insights using story points — a skill you can apply to any dashboard or dataset.

By the end of this video, you’ll know how to:

• Build a storyline using a Tableau dashboard

• Create step-by-step story points with captions

• Use annotations to draw attention to specific insights

• Present data in a more focused, narrative style

Perfect for learners looking to enhance their Tableau storytelling skills!

Get ready to dive into one of the most important aspects of data analysis—data preparation! In this introduction, you’ll discover why clean, well-structured data is crucial and how much time it really takes. You’ll also get a sneak peek at the powerful tools in Tableau that will help you clean, organize, and format your data quickly and accurately. By the end of this video, you’ll understand exactly what to expect and how this section will help you work smarter and produce better insights.

In this lesson, learn exactly how your data should be structured before you import it into Tableau. Using our course enrolment dataset, we’ll compare common spreadsheet formats that look neat to humans but confuse Tableau. You’ll see what a tidy, machine-readable format looks like and understand why it’s crucial for smooth analysis. We’ll also talk about totals, empty cells, and extra headers — and how to avoid mistakes that lead to errors. By the end of this video, you’ll know how to organize your raw data properly, saving yourself hours of cleaning and troubleshooting later. Get ready to set up your data for success!

In this video, we’ll explore Tableau’s powerful Data Interpreter — your first line of defense against messy spreadsheets! Using a mobile phone sales dataset, we’ll see why human-friendly spreadsheets can confuse Tableau and how the Data Interpreter helps clean them up in just a click. You’ll learn how to spot extra headers, merged cells, totals, and other hidden issues, and watch how Tableau automatically organizes your data for better analysis. By the end of this lesson, you’ll know exactly when and how to use the Data Interpreter to save time and avoid common errors in your Tableau projects. Let’s get started and make your data machine-ready!

In this lesson, you’ll discover how to transform your data using Tableau’s Pivot feature — no spreadsheets or manual reformatting needed! We’ll take the cleaned mobile phone sales data from the last lesson and show why spreading years across separate columns isn’t ideal for analysis. Then, you’ll learn step-by-step how to pivot these columns so that years and sales figures are neatly organized into just two fields. This simple trick makes your data more flexible and ready for advanced visualizations. By the end, you’ll feel confident pivoting messy tables right inside Tableau. Let’s make your data analysis-ready in just a few clicks!

In this practical lesson, you’ll learn how to use Tableau’s Metadata Grid to quickly organize and rename fields, making complex data much easier to manage — especially when dealing with dozens of columns. Next, we’ll build a map showing mobile sales across cities in Maharashtra, Uttar Pradesh, and Karnataka. You’ll see how to handle common map issues like unknown or ambiguous city names, and learn how to fix them using the Edit Locations feature. By the end, you’ll know exactly how to clean up field names and resolve location errors, ensuring your geographical data is accurate and your maps are spot on. Let’s dive in and make your maps error-free!

In this hands-on lesson, you’ll master Tableau’s Custom Split feature — a powerful tool for breaking up messy text data without modifying your source file. Using our mobile phone sales dataset, we’ll tackle the Full Product Info column, which combines brand, model, and category in a single string. You’ll learn step-by-step how to split this into clean, separate fields for easier and more accurate analysis. We’ll split it once to separate the product name and category, then split it again to pull out the brand and model. By the end of this video, you’ll know exactly how to use Custom Split to tidy up complex columns directly in Tableau, saving you time and effort when preparing your data. Let’s make data cleaning faster and smarter!