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| Module 01: Introduction to the Course | |||
| Introduction to the Course | 00:02:00 | ||
| What is Tableau?An Introduction to Tableau | 00:03:00 | ||
| How this course is Structured | 00:01:00 | ||
| Installing the Free Full Version of Tableau | 00:02:00 | ||
| Module 02: Project 1: Discount Mart (Sales and Profit Analytics) | |||
| Project Brief for Discount Mart | 00:03:00 | ||
| Connecting and Preparing Data for Discount Mart | 00:15:00 | ||
| Building Charts on Tableau for Discount Mart (Part 1) | 00:33:00 | ||
| Building Charts on Tableau for Discount Mart (Part 2) | 00:16:00 | ||
| Creating Headline Cards on Tableau for Discount Mart | 00:10:00 | ||
| Building and Publishing Dashboards on Tableau | 00:15:00 | ||
| Module 03: Project 2: Green Destinations (HR Analytics) | |||
| Project Brief for Green Destinations | 00:02:00 | ||
| Connecting and Preparing Data for Green Destinations | 00:09:00 | ||
| Building Charts on Tableau (Part 1) for Green Destinations | 00:28:00 | ||
| Building Charts on Tableau (Part 2) for Green Destinations | 00:08:00 | ||
| Creating Headline Cards on Tableau | 00:15:00 | ||
| Building a Dashboard for Green Destinations | 00:12:00 | ||
| Publish your Dashboard to Tableau Public | 00:02:00 | ||
| Module 04: Project 3: Superstore (Sales Agent Tracker) | |||
| Project Brief for Super Store | 00:02:00 | ||
| Connecting and Preparing Data for Super Store | 00:17:00 | ||
| Building Charts on Tableau (Part 1) for Super Store | 00:34:00 | ||
| Building Charts on Tableau (Part 2) for Super Store | 00:23:00 | ||
| Building a Dashboard | 00:18:00 | ||
| Publish your Dashboard to Tableau Public | 00:03:00 | ||
| Module 05: Northwind Trade (Shipping Analytics) | |||
| Project Brief for Northwind Trade | 00:03:00 | ||
| Connecting and Preparing Data for Northwind Trade | 00:14:00 | ||
| Building Charts on Tableau for Northwind Trade | 00:37:00 | ||
| Building and Publishing Dashboards for Northwind Trade | 00:10:00 | ||
| Module 06: Project 5: Tesla (Stock Price Analytics) | |||
| Project Brief for Tesla | 00:02:00 | ||
| Creating a Data Source through Google Sheet Functions | 00:05:00 | ||
| Connect to the Data for Tesla | 00:04:00 | ||
| Building Charts on Tableau for Tesla | 00:22:00 | ||
| Building Headline Cards | 00:09:00 | ||
| Building a Tesla Dashboard | 00:08:00 | ||
| Publish your Dashboard to Tableau Public | 00:03:00 | ||
| Module 07: Bonus: Introduction to Database Concepts | |||
| Introduction to Database Concepts | 00:01:00 | ||
| Understanding Relational Databases | 00:04:00 | ||
| Relationships of Database Entities | 00:02:00 | ||
| Primary and Foreign Keys | 00:01:00 | ||
| Data types and Naming Conventions | 00:04:00 | ||
| Module 08: Tableau Stories | |||
| Creating Stories on Tableau | 00:05:00 | ||
| Resources | |||
| Resources – Introduction to Data Analytics with Tableau | 00:00:00 | ||
| Assignment | |||
| Assignment – Data Analytics With Tableau | 3 weeks, 3 days | ||
| Order Your Certificate | |||
| Order your Certificate QLS | 00:00:00 | ||
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Data Analytics with Tableau is a training course that teaches learners how to analyse information, create visual reports, and develop interactive dashboards using Tableau software.
Yes, this course is suitable for beginners because it introduces data analytics concepts and Tableau features from the foundation level with practical guidance.
You will learn data preparation, dashboard creation, visualisation techniques, reporting methods, and how to present data insights effectively using Tableau tools.
Tableau is important because it helps users transform complex data into easy-to-understand visual reports that support faster and better decision-making.
No, previous Tableau experience is not required. The course starts with basic features and gradually develops practical knowledge of data visualisation.
The course covers data connections, charts, dashboards, filters, visual analytics, reporting techniques, and methods for presenting business information clearly.
Yes, the skills gained can support entry-level opportunities in data analysis, business intelligence, reporting, and data visualisation-related roles.
Important skills include analytical thinking, attention to detail, problem-solving, data interpretation, and the ability to communicate findings clearly.
Yes, learners will develop the ability to design interactive dashboards that display important information and make data easier to understand.
Yes, Tableau skills help businesses monitor performance, identify trends, understand customer behaviour, and make informed strategic decisions.
Yes, data analytics is used in industries such as finance, healthcare, marketing, retail, technology, and business management.
After completing the course, learners can explore roles including data analyst, Tableau developer, business intelligence specialist, reporting analyst, and data consultant.