What to Learn After Tableau

Tableau is one of the leading business intelligence and visual analytics platforms available. It helps individuals and organizations analyze, visualize, and share data findings. If you already know how to use Tableau, you might consider learning programming languages such as SQL, Python, or R, which can help with data analysis. We’ll cover these three coding languages below so you clearly understand what skills you want to tackle next.

What is Tableau? 

Tableau is a data visualization tool used for data analytics and business intelligence. It was designed to help individuals and organizations make better data-driven solutions. This software can simplify raw data into an accessible dashboard format that incorporates visual depictions of raw data from datasets, which can then be understood by various professionals working within a company, regardless of whether they come from a technical background. One of the main benefits of working with Tableau is that it performs fast data analysis and can create stunning visualizations based on data findings.

Tableau provides users with many helpful data analysis and visualization features, such as real-time analysis, data blending, and collaboration capabilities. It allows Data Analysts to manipulate live datasets and devote their efforts more to analysis rather than data wrangling. In addition, Tableau doesn’t require programming or technical skills, making it an accessible, effective tool for data analytics.

Read more about what Tableau is and why you should learn it.

What Can You Do with Tableau?

Tableau has a variety of professional uses. Ultimately, the more you know about Tableau, the more data-driven insights you can bring to your organization. Tableau can bring together various data sources into a single point of truth. For example, suppose you’re working with data in Microsoft Access and Excel, as well as in SQL databases and cloud-based applications such as Salesforce. In that case, Tableau can help you bring these data together with just a few mouse clicks. This provides one central source that can be used for all types of business reporting and doesn’t require you to have any coding knowledge to set up. 

Tableau also provides a way to efficiently perform ETL operations (extract, transform and load). With the help of Tableau’s automated data reshaper tool, you can transform any data you want to use into the necessary format by splitting fields, eliminating header and white space, and changing data formats. Instead of spending a whole day extracting, transforming, and loading data using apps such as Excel, you can do it in just seconds in Tableau. In addition, Tableau’s automated reporting feature allows you to easily create a report, then set it to focus on a specific dataset so that the data will automatically refresh without requiring any coding know-how or additional time commitment.

One of Tableau’s most remarkable features is its visualization capabilities. Even for those new to visually presenting data insights, Tableau comes with built-in best practices to help you present information clearly, effectively, and engagingly. This helps ensure that data is delivered to internal and external stakeholders through eye-catching and informative reports.

SQL

SQL, or structured query language, is often used in the data analytics process. This is why every Data Analyst should know SQL. Data Analysts use this language to access, organize, and analyze large volumes of data to find insights. This language is often used to collect and organize data from multidimensional or regional databases. It also can be used to update, insert, or delete database records, create new tables or databases, and establish permissions on views, tables, and procedures. 

Noble Desktop has you covered if you want to learn more about SQL. Noble’s SQL Bootcamp provides hands-on training on writing SQL queries, using PostgreSQL to extract essential information from databases, joining tables, and filtering results.

Python

Python is an object-oriented programming language. It has a variety of uses for data analytics. Python has applications for developing websites and software, analyzing and visualizing data, and automating repetitive tasks. It also can be used for back end website or app development. Python is particularly useful for scripting purposes, which can automate checking files for errors, executing basic mathematical functions, and deleting duplicates within a dataset. In fact, Python can be used at all stages of the data analytics process, such as for data mining, data processing, modeling, and visualization.

If you are interested in learning more about Python, check out Noble Desktop’s in-person and live online Python classes.

R

R is a programming language that’s used for graphics and statistical computing. This language offers users a variety of graphical and statistical techniques, such as time-series analysis, clustering, classification, and linear modeling. One of the main benefits of working with R is that it can be used to create high-quality plots that include mathematical formulas and symbols. Because data analytics relies heavily on statistics, learning R once you know Tableau can help you pursue a career as a Data Analyst. 

Noble Desktop’s Data Analytics with R Bootcamp is an excellent learning resource for those who want to learn more about using R for statistical analysis. This course covers the fundamentals of R and how professionals can apply this language to visualizations and user interfaces that create output based on the user’s preferences.

Learn Tableau with Hands-on Training at Noble Desktop

Noble Desktop provides several great Tableau learning opportunities. For those new to Tableau, Noble’s Tableau Level 1 covers core Tableau tools and skills, such as creating various charts and data visualizations. Students receive an introduction to Tableau Public, a free version of Tableau, and learn how to create and edit graphs and charts.

In addition, Noble’s Tableau Bootcamp is a program that teaches students the fundamental components of data visualization. Those enrolled explore Tableau Public’s different tools to connect to datasets, analyze, filter, and structure the data to make visualizations. By course completion, students will know how to customize, manipulate, and publish various data visualizations. This class comes with the option of a free retake for students who wish to revisit course material.

For those seeking a more rigorous learning environment for learning Tableau, Noble Desktop’s Data Analytics Certificate is a great option. In addition to providing hands-on training with Tableau in the small classroom environment, those enrolled in this certificate study also gain industry-relevant training with other data analytic skills, languages, and programs, such as SQL, Excel, and Python. Expert instructors ensure that those enrolled receive training to become Data Analysts or Business Analysts. One-on-one mentoring is provided for all students.

In addition, for those interested in learning more about Tableau, Noble’s Tableau Resources page has more than 50 articles to help you learn more about this powerful data visualization tool.

Key Insights

• Tableau is one of the most widely used tools for visual analytics and business intelligence currently on the market. 
• Tableau helps users efficiently extract, transform, and load data so they can present their findings to the organizational stakeholders to help them make more informed data-driven decisions.
• Once you have learned Tableau and want to consider working with big data, you may study programming languages like SQL, Python, or R. 
• Enrolling in one of Noble Desktop’s in-person or live online Tableau courses is a great way to learn more about Tableau.