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4 Data Visualization Tools to Master in 2020

MAGESJuly 9 , 2020
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Gone are the days of static presentation. In the 21st century, you can do so much more! Check out these 4 data visualization tools that could give you a great head start in the field of data science and analytics.

We, as humans, are visual creatures. We process visuals faster than any scribbled information. Data presented that way makes more sense to us. It’s easier to digest information, identify patterns and trends for better decision making across businesses.

Data visualization, quite simply, makes all of this easily possible. One does not need to be a coding expert or a statistician to learn the art of presenting the data in a visual format. All it takes is the passion to develop relevant skills!

And an understanding of tools for data visualization.

Here are 4 data visualization tools you can master to begin your journey in data sciences and analytics.

Tableau

Tableau is one of the most impactful, reliable and easy to use visualization tools out there.

The drag and drop functionality of the software eliminates the need for coding. It can fetch data from your excel spreadsheets, texts and even PDFs to illustrate everything in a graphical format.

The software uses a few programming languages, but the code that comprises the vast majority of the Tableau Desktop is C++. Towards the end, you can develop stunning dashboards wherein all your results lie in a single sheet for a “one-time view”. The outcomes can also be modified in real-time, which will instantly reflect the alterations. It helps avoid re-working on the same data right from scratch.

Also, Tableau Desktop is backward compatible, which means the software can open a workbook created with an older version.

You can check out Tableau’s 14-Day free trial here.

Microsoft Power BI

A credible business intelligence software by Microsoft, the Power BI makes sure everything is on tips for the user. Super user-friendly, it can extract data from any of your existing origins.

The results are interactive and can be tweaked at the last moment for final touch-ups without having to go back and start from zero.

Power BI makes use of several programming languages including DAX, M, and R. DAX and is the query language initially used in Power Pivot.

The tool brings together cloud-based and on-premises data warehouses. Data is extracted from cloud-based sources, such as Salesforce CRM, and is automatically restored. There is a wide range of diagrams and illustrations to choose from.

Want to find out more? Check out the free trial here.

Plotly

Plotly can be used to style interactive graphs and charts with Jupyter notebook. It helps the user get a broad understanding of prevalent data and convert it into beautiful and simple-to-understand visuals.

Plotly is built using Python and the Django framework, with a front end using JavaScript and the visualization library D3.js, HTML and CSS.

The software is also very well compatible with API libraries for Python, R, MATLAB, Node.js, Julia, and Arduino and a REST API. With this, it also provides the trait to share the documents online with multiple team members.

You can learn more here.

Qlik

It’s a great tool that does not give you any hiccups even with large datasets. Qlik automates the data well and blends it into interactive information using various types of plots. The hardware costs aren’t very high either.

QlikView Desktop and QlikView Server service are encrypted in C++. The software is well backed with Microsoft Windows and Microsoft Windows Server machines to access the Qlik Management Console (QMC) and the hub: Microsoft Internet Explorer 11, Microsoft Edge and Google Chrome.

It modifies the data as per your business needs accurately with minimal supervision and several checks. There is no prior training required to use this software. It serves the purpose of analytics and visualization with a hundred percent precision.

Can’t wait to explore more? Have a sneak peek here to try it out!

In Conclusion

The demand for data scientists, business analysts, data mining experts (and many more) is rife. Equipping yourself with one of these tools is bound to get you ahead of the curve easily.

Looking to build a career in data science and analytics?

You don’t have to do it alone.

MAGES offers specialized programmes to help you successfully do what you love. We revise our programmes constantly to give you a focused and industry-relevant education – at very affordable prices. Check out our courses here.  

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