Will Learning Tableau Help me Become a Better Data Scientist?

Fast Facts:

• There are more than 3000 job openings for Tableau experts in both entry-level and experienced positions in India, as per a report by LinkedIn. 

• The same report also states that the number of Tableau developers and other related roles in the US is more than 19,000.

While all the hype is around Tableau, numerous professionals are looking for Tableau Training in order to advance their careers in the field of data science and business intelligence. 

This article will let you know the real gist of this popular data visualization tool and the importance of Tableau for Data Scientists. 

What is Tableau?

Tableau is an assembly of different data analytics and Business Intelligence tools that enables the professionals to gather data from different resources in various formats (structured, semi-structured, or unstructured) and transform the data into required visualizations or formats. This tool allows you to convert the raw datasets into an understandable and comprehensive format even if you don’t possess much tech expertise. 

Tableau provides a bundle of products that organizations can leverage on the basis of their requirements. They are Tableau Desktop, Tableau Reader, Public, Online, and Tableau Server. 

With Tableau Server, you can collaborate with other users and link live data sources that are used for real-time analysis. Tableau Desktop enables you to create attractive dashboards, data blending, and visualizations. 

It also provides data management and server add-ons to integrate developer tools for use in various processes of data science. 

Reasons for Learning Tableau

With its visual analytics features, Tableau allows users to create complex graphs and charts easily while offering fast mathematical computations and handling huge volumes of data. Tableau allows you for improved data integration and manipulation processes effortlessly, irrespective of the number of data sources or the format. 

IDC or International Data Corporation predicts that the amount of data generated last year was 50 times more as compared to the last decade. Organizations, thus, need Tableau experts to deal with this massive data, thereby creating a huge demand for Tableau professionals.

Tableau Developers have high earning potential with the national annual average being INR 502,947, which may go as high as INR 10 lakhs or more. 

With expertise in Tableau, you will get great career opportunities and you can choose to become a:

• Data Analyst
• Data Scientist
• Tableau Developer
• Senior Tableau Developer
• Business Analyst
• Tableau Consultant
• Business Intelligence Analyst
• Business Intelligence Developer
• Business Intelligence Manager

A majority of the biggest names are looking for Tableau experts including Tech Mahindra, Facebook, Dell, Bank of America, Infosys, Sony Electronics, and many more.

Now that you have gone through the compelling reasons for learning Tableau, let us look at the way it is helpful to Data Scientists.

How Tableau Helps Data Scientists?

With the increasing amount of data being generated every second, Data Scientists find it challenging to look for perfect tools or software to help them perform their routine tasks. Here, Data Scientists find Tableau that serves all the purposes of implementing different models and creating dashboards quicker than ever. This way they benefit themselves and the organization as well. This is why expertise in Tableau is a must for Data Scientists as they become the most preferred candidates for employers.

Let’s look at the ways Tableau can be a great help for you as a Data Scientist.

1. A perfect tool for EDA (Exploratory Data Analysis)

As a Data Scientist, you might perform the EDA process quite often to perform initial checks over data sets to identify hidden patterns, and anomalies, test hypotheses, and also make assumptions. 

With Tableau, you can perform the EDA tasks on huge data sets easily and that too within minimal timeframes. 

2. More Efficient than Seaborn and Matplotlib Libraries

Being a Data Scientist, working with Python will be in your daily routine. You would be required to write Python scripts with the help of different Python libraries. This might sometimes be cumbersome. 

With Tableau, you can write scripts with interactive charts or graphs, making them informative with appealing figures or bullet charts. This way, Tableau is a quicker and more efficient tool for writing scripts, which saves your time significantly.

3. Seamless Integration with SQL

Tableau allows you to execute your SQL queries on static CSV/Excel files and also use its reference to perform other tasks. It also allows you to paste your queries to interact with databases. 

4. Visualize Success parameters of Data Science Models

Tableau allows you to add the performance metrics via SQL databases and also summarize for manual review by adding the confidence score. You can present your reports to subject matter experts to improve your performance along the way. 

5. Tableau allows you to perform clustering

With Tableau, while working with massive datasets, you can easily apply clustering algorithms such as K-Means with no need for code. With clustering algorithms, you can easily find similarities between various groups of customers with which you can market your products or strategize your marketing campaigns easily. 

Tableau For Data Science

• You can add data models in different scripting languages such as Python or R to perform complex computations.
• Tableau provides you with easy processes for creating interactive and appealing dashboards.
• You can blend your visualizations to come up with reports that are readable and understandable
• It allows you to link with different data sources and transform the information into a single format
• Tableau boasts of huge community support. There are millions of data scientists and users who leverage Tableau for different purposes. You can get support whenever you get stuck while working with Tableau

Conclusion

At the end of the article, you might have realized that expertise in Tableau will allow you to advance your career in the field of Data Science. The average annual salary of Data Scientists with Tableau skills is around USD 87,577. 

To learn this trending data visualization tool, you can take up an online training course from accredited institutes such as Simplilearn to enhance your skills in the tool. While working on real-life projects, you will acquire hands-on experience to create impressive visualizations for the insights you identify. 

Enroll Yourself Now!!