
Master data organization and preparation in Tableau using folders, sets, bins, and groups. Gain hands-on expertise in Tableau Prep Builder, calculated fields, and advanced analytics to create clean, powerful visualizations.
Advanced data preparation and analytics are essential for professionals aiming to deliver reliable insights and drive impactful business decisions. Tableaus comprehensive suite of tools empowers users to manage, transform, and visualize data at an expert level.
In this course, you will develop advanced proficiency in preparing and visualizing data using Tableau, with a focus on skills required for the Tableau Certified Data Analyst exam. You will learn to assess different data sources for various scenarios, schedule data updates, and set up alerts and subscriptions to maintain data accuracy and relevance. You will also explore integration with relational databases using both Tableaus interface and SQL queries, ensuring you can handle complex data environments.
As you progress, you will master data organization using folders, sets, bins, and groups, while also learning to prepare data through field customization, type conversion, pivoting, and splitting. Plus, you will get in-depth training in Tableau Prep Builder, guiding you through the creation of data flows with input, cleaning, and union steps. Youll also gain expertise in creating and applying calculated fields and custom calculations, as well as utilizing advanced analytics features to enhance your visualizations.
Throughout the course, you will engage in hands-on labs and real-world projects to reinforce your learning and develop a portfolio of advanced Tableau work. These practical experiences will ensure you acquire the job-ready skills needed to excel in analytics roles and succeed on the Tableau Certified Data Analyst exam.
Overall, this course is designed for learners with foundational Tableau knowledge who are ready to advance their data preparation and analytics skills.
This course comprises three purposely designed modules that take you on a carefully defined learning path.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2-4 hours per week, you will complete the course in 2 weeks. However, as long as the course is completed before the end date, you can work at your own pace.
The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, reading material, and online exams questions.
Once you have successfully completed the course, you will earn your Certificate of Completion.
You will be able to:
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

Designed by the industry for the industry so you can build job-ready skills.

Competency building and global certifications employers are actively looking for.
Yes, Tableau is one of the most widely used Tableau data analytics tools for visualizing and interpreting data. In this course you will go beyond the basics to master complex features such as advanced calculations, forecasting, and interactive dashboards.
The data pane displays fields, while the analytics pane provides tools like trend lines, forecasts, and reference lines. In our advanced Tableau training you will learn to use these panes for advanced calculations, data transformation, and predictive analysis.
Tableau data analytics allows professionals to clean, transform, and explore data visually. With data analytics with Tableau, you can pivot and split data, connect to relational databases, and design dashboards with automated alerts. This advanced course shows you how to apply these techniques in real-world scenarios.
The 7 data types are string, number (whole), number (decimal), Boolean, date, date and time, and geographical values. Our advanced Tableau training teaches how to use these data types to build calculated fields, sets, bins, and groups for complex business solutions.
You can learn the basics of the Tableau analytics tool in 2 days, such as creating simple dashboards and charts. Mastering advanced skills like custom Tableau calculations, data modeling, and building scalable dashboards requires structured learning. This is exactly what our Tableau advanced training course provides.
No coding is required to get started. Most data analytics with Tableau features are point-and-click. However, in this course you will also learn how SQL and calculated fields can extend Tableaus functionality for complex data tasks.
A Tableau data analyst uses Tableau to clean, transform, and visualize large datasets. They create dashboards, automate reports, and forecast business trends. Completing this advanced Tableau training course prepares you to handle these responsibilities at a professional level.
Using Tableau in data analysis means connecting to multiple data sources, applying transformations, and creating interactive dashboards. In this course you will also master advanced techniques such as scheduling data refresh, building custom calculations, and applying forecasting models.
Yes, after completing this course, youll receive a Certificate of Completion that demonstrates your newly acquired skills and knowledge of complex data and analytics tools in Tableau.