Tableau provides five different kinds of certifications under two categories: Tableau Desktop and Tableau Server.
Desktop Specialist costs $100 (Title Validity: No Expiration)
Desktop Certified Associate costs $250 (Title Validity: Two years)
Desktop Certified Professional costs $600 (Title Validity: Three years)
Server Certified Associate costs $250 (Title Validity: Two years)
Server Certified Professional costs $800 (Title Validity: Three years)

Tableau certification has a mix of theoretical and practical questions that need the right amount of practice. Completing the Tableau course will equip you with in-depth knowledge of the tool and its nitty-gritty, real-life case studies that will help solve practical questions, mock questions for practice, and some tips and tricks to ease out any last-minute tensions.
Once you are ready, you can go to the website and enroll. Create Loyalist Exam Services (LES) account, sign in, and schedule the exam on the date and time you prefer.

Tableau is a very well-established Business Intelligence and visualization tool in the industry and, certification for Tableau skills can present a lucrative path to career growth. It provides the ability to showcase your skills and stand out from the crowd.
Official certification from Tableau substantiates that you have good knowledge of the tested skills and this recognized stamp of approval gives confidence to hiring managers.
Tableau is used across all sectors and industries and hence used widely, leading to abundant job opportunities with good pay scales.

It depends on your prior experience and knowledge. If you are already using Tableau at work or know the basics, you can complete the course and prepare for around three weeks and then attempt the specialist and associate exams online. If you are new to Tableau, you can still try the certifications 4 -5 weeks after the course. It depends on how much time you can devote to practice and study.
The professional exams need extensive product experience as the complexity of questions increases. They have hands-on, written response questions to build and save solutions in Tableau Desktop to be reviewed by the grading committee.

You need to invest time in understanding the tool and practicing. You need to understand the overall process of the certification exam. Formal classroom or online training can give an in-depth understanding of different features of Tableau and how to use them in various business scenarios.
The theoretical questions can be tricky with confusing options, and practical problems might be time-consuming, but mock practice tests can help you track your progress and complete the exam in time.
Once you equip yourself with the right skills and an in-depth understanding of the tool, a certification will unquestionably set you apart from the competition.

Tableau does not require coding. Non-technical users can easily use it. You don’t need to write any complex queries, but a simple drag and drop will be translated into a query by Tableau in the background using VizQL. As you drag and drop fields onto various shelves, Tableau will generate the VizQL behind the scenes.

There are no prerequisites required to learn Tableau, unlike other programming languages. To advance your knowledge in Tableau, it is beneficial to know data visualization and reporting best practices and understand data analysis, database and SQL fundamentals, UI/UX concepts, and basic statistics.

For Tableau Desktop, the Specialist certifies that you understand Tableau Desktop and its core functionalities. For both Tableau Desktop and Server, the Certified Associate demonstrates a comprehensive understanding of Tableau functionality. The Certified Professional is the toughest and validates that you can apply the visual best practices and comprehend even the advanced functionalities. Based on your understanding of the tool and your goals, you can first attempt the Specialist or Associate Certification. After extensive use of the tool, you can plan the Professional Certification.

TabPy is an API that enables the evaluation of Python code from within a Tableau workbook. You can define calculated fields and leverage the power of python libraries with a few lines of Python code. Pairing Python’s machine learning capabilities with Tableau’s advanced visualizations can help you develop advanced analytics applications. For example, building models to predict cancer, customer churn, or to predict attrition.

There are several ways to learn Tableau and prepare for certifications. Formal certification classroom or online training gives you a rapid start to your journey. Tableau training can provide an in-depth understanding of different features of Tableau and how to use them in various business scenarios.
It will prepare you for the certification exam with mock questions, tips, and tricks and give you practice in working on real-life case studies and projects. Equipping yourself with the right skills and understanding the tool will unquestionably help you pass the certification.

A data scientist builds and deploys end-to-end solutions using machine learning and advanced analytics. You can integrate R packages, libraries, or any of your saved data models with Tableau. Using TabPy, you can allow Tableau to execute Python code remotely. You can deploy MATLAB models in Tableau for predictive insights or pre-process your data into a Tableau data extract for further analysis. Combining advanced analytics from different languages with Tableau’s visualization power can equip you to present accurate and visually appealing results to stakeholders.