Tableau Advanced Analytics with R Training is developed for professional data visualization users who want to shift into data science and analytics to improve their business by equipping the analytical ability of R and the unique visualization capabilities of Tableau. In this course, you will get to learn various machine learning algorithms and how prescriptive, predictive, and visually appealing analytical solutions can be developed with Tableau and R. It will provide you with comprehensive examples that will help you evolve from being a data-savvy user to an advanced data analyst very conveniently.
Our enterprise training program is best for organizations and companies. It guides you to integrate Tableau's analytics with the statistical prowess of R and teaches you the right methods to utilize the CRISP-DM procedures to build a pathway for analytical investigations. You will also be able to implement different learning algorithms in R that revert values to Tableau.
The learning is recommended for experienced Tableau users who have a very good experience with Tableau products or willing to transit from a data users to data analysts.
For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.
Yes, Microsoft R Client is a community-supported free of cost data science tool enabling the users for deep analytics. Built on top of Microsoft R Open, it can be used to build different analytics.
The integration of R and Tableau supports you to take Tableau analytics further with predictabilities. The excellence of visualization capabilities in Tableau and predictive capabilities of R gives you the best dependable data analysis.
Yes, the acceptance and use of Tableau are increasing fast in IT service sector of all the countries creating high demand of Tableau certified professionals.
We conduct â€˜two daysâ€™ instructor led virtual training for Tableau Advanced Analytics with R course.
Yes, Tableau has capability to pass any data type from any relational data source to R, whether it is a flat-file, cube, relational database or an unstructured data store.