TABLEAU 2018: Hands-On Tableau Training For Data Science!

Learn data visualisation through Tableau 2018 and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly

• Connect Tableau to a Variety of Datasets
• Analyze, Blend, Join, and Calculate Data
• Visualize Data in the Form of Various Charts, Plots, and Maps

Convert Raw Data Into Compelling Data Visualisations Using Tableau 2018

Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.

Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.

Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.

Contents and Overview

This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.

To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries.

Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.

In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.

You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources.

Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.

By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.

You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.

--- **Course Overview:** "Data Visualization with Tableau" is a comprehensive course that has received high praise from recent reviewers. The course is designed to be valuable for learners of all levels, offering detailed and well-paced content that covers the intricacies of using Tableau for data visualization. The majority of reviews commend the instructor's clear explanations and engaging examples, making even complex topics accessible. **Pros:** - **Content Value:** The course material is reported to be rich in content, offering a thorough understanding of Tableau and its applications in data visualization. - **Expertise & Presentation:** The instructor, Kirill, has been praised for his knowledgeable presentations and the way he covers the subject matter in great detail. - **Real-world Application:** Many reviewers appreciate the practical examples used throughout the course, which help learners apply their new skills to real-world scenarios. - **Structured Learning Path:** The course structure is commended for its meticulous approach, allowing learners to follow along and gain experience while practicing. - **Versatility for Learners:** The course seems to cater to both beginners and more advanced users, providing a structured learning path that can accommodate varying levels of familiarity with Tableau. **Cons:** - **Pacing:** Some learners find the course to move at a fast pace, necessitating frequent rewinds or pauses to fully understand the material. - **Technical Issues:** A few reviewers have encountered issues with Tableau's interface and functions, particularly in newer versions, which may require additional clarification from the instructor. - **Exercise Volume:** There is a suggestion that the course could benefit from more practical exercises and business challenges to complement the existing content. - **Accessibility & Compatibility:** Some users have noted compatibility issues with different devices, particularly when using Tableau Public or Tableau free trial versions. - **Documentation & Community Support:** A few learners have expressed a desire for better documentation and community support to enhance the learning experience. **Additional Notes:** - **Technical Updates:** While some reviewers note minor discrepancies between the course content and newer versions of Tableau, the course is still considered great and up-to-date as of 2022. - **Course Structure & Flow:** The flow of the course has been highly praised, with many learners expressing that they are in a state of 'flow' and do not wish to stop until completion. - **Learning Resources:** It is recommended to use earphones for better audibility of the instructor's voice. Additionally, learning how to manage multiple workbooks to prevent data overwrites would be beneficial. **Conclusion:** "Data Visualization with Tableau" stands out as an engaging and valuable course for anyone interested in mastering data visualization using Tableau. The course offers a wealth of knowledge delivered by an expert instructor, with a few areas that could be improved for an even more enhanced learning experience. Overall, the positive feedback from learners suggests that this course is well worth considering for those looking to expand their skill set in data visualization.