There are various data visualization tools, with their own modes of collecting, storing and processing Big Data. Tableau is one such software, which is particularly used for visualizing data passed through collection and computation. While it mainly focuses on a graph-type analysis, it can also work on displaying relational databases on an easy-to-digest dashboard format.
With Tableau training, one may work in disciplines ranging from solely data visualization to more interdisciplinary studies of business analytics.
Why Tableau Is A Data Visualization Of Choice
So, why choose Tableau? What makes it unique in respect to and/or better than other data visualization tools?
Let us take the example of business analytics. Normative business intelligence tools have a predefined way of collecting data which is not compatible between companies. With Tableau, one can streamline their process through Associative Search – easily achieving a multi-core functionality in finding bits of data from huge chunks of visualization, and draw predictions from it.
To put it simply, it is easier and faster to operate – in both finding small data bits and modifying large data sets.
Furthermore, there are various Tableau products – which work together to provide a comprehensive, cohesive and multi-dimensional functionality.
Top 10 Tableau Interview Questions
So, how does one answer interview questions when they are applying for work that corresponds specifically to Tableau? Here are ten common tableau interview questions that will aid you in such an endeavor:
1. How familiar are you with the different Tableau products, and how would you use them together?
Tableau offers a range of services, with Tableau products including Tableau Desktop, Tableau Server, Tableau Public, Tableau Online, and Tableau Reader. The purpose of the five range from making queries into visualizations, to making them, and to even just reading them. It is necessary for a candidate to understand how each app works in and of itself, and with respect to each other.
2. How would you compute a specific set of data into Tableau?
This question may explore a specific avenue of inquiry pertaining to Tableau, or explore how one would use Tableau to solve such a unique problem. A job utilizing Tableau, or solely working on it, requires one to explore how it may be used to solve Big Data problems across various disciplines.
3. What is your experience with Big Data processing?
It is necessary to understand the entire breadth of big data storage, analytics and sciences to be able to solve the complex problems that arise from its visualization. Here, candidates would do well to explore the vast avenues of Big Data processing beyond Tableau to further expand their skill sets.
4. How would you capitalize on your unique skill set in regards to Tableau?
While it is of paramount importance to possess knowledge that covers the breadth of the data sciences, it does help to have more specific skills that you can lend to your work on Tableau. One may be more skilled in managing spreadsheets or modifying the aesthetics of the final product of the visualization with the usage of ad psychology. There are various unique skill sets that can help one in this new enterprise.
5. What is a possible problem you would wish to solve with data visualization?
It is highly enriching, and also useful, to use data visualization on situations and problems which personally interest you. You may utilize Tableau to aid your individual endeavor. It is necessary to also mentally flip the interview to see which jobs and/or opportunities align with your own unique interests and skill sets.
6. How would you incorporate an ideal data set to the unstructured data you have been made to collect?
This question addresses one of the primary needs of data visualization – to convert abstract information to a specific end and/or goal, so as to unravel a possible conundrum. It is essential to acquaint oneself with the unique data types and modes of visualization offered by Tableau. One should also look to possible modes of visualization to outset the present ambit of Tableau, so as to improve the application too in the possible future.
7. How would you convert structured data sets stored in other applications into Tableau?
Converting structured data from one mode of quantification and classification to another provides a unique set of challenges, as opposed to converting unstructured data into a structured format. While Tableau prides itself in permuting other instances of data into its framework – a professional in the field is highly necessary when it comes to changing modes of structured data visualization in the most efficient way.
8. How would you embed your visualizations for your specific client?
It is necessary to have soft skills that aid you in bridging the gap between your work and the needs of the consumer. It is necessary for one to understand the multiple ways their data visualization can be utilized so that their Tableau skills aid in various forms of projects. This process hence involves learning data embedding into simple web pages, to finding new possible clients for the unique mode of data processing that you may have created.
9. How can your mode of business analytics help the company you are working for?
There are various modes of occupation that you can enter with your Tableau skillset. You may work on data visualization for a business, and use Tableau as one of the many tools at your disposal. Hence, it is essential to see the possible avenues of unstructured data you may collect to help your business. Furthermore, you may also convert previously collected structured data into better visualizations. This should be undertaken in a way to maximize the solutions you may acquire from your new framework, and thereby aid your employer.
10. How would you automate your visualization?
It is necessary for your visualization to constantly collect and process new data. Here, it is good to understand how you may use tools like artificial intelligence and/or machine learning to ensure a steady stream of data to store and analyze without you being present to manually input that data.
In conclusion, if you specialize in Tableau, these questions can help you land a job easily. However, you should keep your Tableau training in mind and revise before going for an interview.