Top 5 Data Visualization Tools every Data Analyst Should Know

Hello guys, Data Visualization is one of the most in-demand skills in today's data-centric world. More and more companies are tapping on their data to find opportunities and this is increasing demand for Data Analysts who can tell the story from their data.  Data visualization is the process of taking any raw data no matter that data belong to any industry and transform it into a representation of graphs shapes for better understanding your data and getting insights and better decision making for your business. In order to work effectively with data, you must know important tools and in this article, I am going to share with you 5 essential Data Visualization tools every Data Scientist and Data Analyst should know.

These are the tools that are popular in the industry and having these tools on your resume also boosts your CV.  Good knowledge of data visualization tools like Tableau, Microsoft Power BI, Qlik View, Qlik sense also provides you a competitive edge over the next candidates.

There is no doubt that Data Visualization skill is on-demand in the job market and also in many fields such as data analyst machine learning engineer data journalist Business analyst Data manager and many more fields that ask you to have these skills on your resume with a salary between $51k and $112k annually in some countries.

If you are planning to be a machine learning engineer,  data engineer, business analyst, or learning business in your college you should definitely learn these skills for better decision making and better understanding your data and you will see in this article many data visualization tools to make that easy for you.





5 Best Data Visualization Tools for Data Analyst and Data Scientist

Here is a list of best tools you can learn for Data Visualisations and creating stories from Data. The list includes essentials tools like Tableau, Microsoft Power BI, Qlik View, Qlik Sense, and Microsoft Excel.  It doesn't include libraries like Matpltolib and D3.js which can also be used for creating charts, graphs, and other data visualization artifacts.

1. Tableau

If you never heard about this fabulous tool then you probably very new to data visualization. Tableau is a data visualization tool founded in 2003 that focuses entirely on visual analysis with the ability to analyze any kind of data and transforming it into hundred of representation graphs and maps allowing you to get better insights into your data.

Tableau comes with many products to suit your needs such as tableau desktop if you want to install it on your machine and working offline with the ability to share your data across your teamwork or you could use tableau public the free version and share your work online with your peers.

If you want to learn Tableau and looking for recommendations, I highly recommend you to check out  Tableau 2020 A-Z: Hands-On Tableau Training For Data Science course by Kirill Eremenko and his SuperDataScience team.  It's a comprehensive, hands-on, and most up-to-date online course to learn Tableau now.





2. Microsoft Power BI

The second tool that I highly recommend learning is Microsoft Power BI with the ability to use the free version and get your hands dirty with this software although it has some limits and it comes with no cost.

Microsoft Power BI doesn’t have that variety of graphs and visualizations compared to Tableau or other tools that you will later in this article and it is more than sufficient of what you are looking for. The Microsoft Power BI is recommended if you have a small or medium size of data to work with but if you have more then you need to look for another tool.

If you already like Microsoft Power BI and looking for useful resources to learn Power BI then I also suggest you check out Microsoft Power BI - Up and Running with Power BI Desktop course by Chris Dutton and Aaron Parry of Maven Analytics.





3. QlikView

The next data visualization tool that we will be looking for is called QlikView and think most of you didn’t hear about and this tool considered the Tableau main competitor with more than 50 thousand customers.

Many big companies in this world such as Ford and Paypal uses QlikView to analyze their data because it is a good software for both big and small data visualization. They offer the option to download the free version with limited options or you can extend the functionality by using the paid version.

If you want to learn QlikView and need a good course to start with then I suggest you join The Complete QlikView Bootcamp course by Paul Scothford on Udemy. It's one of the best courses to learn QlikView online without spending too much money.






4. QlikSense

This modern data visualization platform that helps you extract insight from your data by transforming it into visualized graphs for simplifying your work and better decision making of your business.

The tools combine two things to do powerful interactive data visualization which are artificial intelligence and human intuition by simply drag and drop to create a beautiful data visualization.

It's touted as the next generation of QlikView and the tool is getting quick adoption by industry. There is also an increase in demand for professions with QlikSense skill which makes learning this tool even more sense.

And, if you want to learn QlikSense this year, I suggest you start with the Certificate in Qlik Sense Analytics Development course on Udemy. It's a great course from a  knowledgeable instructor and probably the best in Udemy.





5. Excel

The last tool in this article and I think all of you have heard about it which is Microsoft Excel. This tool considered the basic tool in our suggestions and it is easy to use and set up either on your windows machine or macOS.

If you are a beginner in data visualization you can use Excel to get familiar with before jumping into more advanced software and it is good for small data. Although it is limited with just in visualization it still has a lot of options especially for small companies that want to create simple reports.

While Excel is not just a data visualization tool and you should already know this omnipresent tool, learning it from DAta Visialzuation can make a lot of sense and if you are keen, I suggest you join Chris Dutton's Microsoft Excel - Data Visualization, Charts, and Graphs course to learn more about Excel's powerful DAta Visualization capabilities.








How to learn Data Visualization in 2020?

After exploring some data visualization tools you may now want to learn some of them and I will suggest this Data Storytelling and Data Visualization 2020 course on udemy for you because it will teach you how to use many tools such as Tableau Microsoft Power BI and Microsoft Excel.

You will start by the importance of speaking the language of data an why it is so important to take advantage of it and how to turn them to an advanced data visualization dashboards using different tools as well as how to properly format your graphs.

You will learn in this course:
  • How to use different tools for visualization.
  • How to use different programming languages for visualization.
  • Learn the importance of data in this modern world.



Conclusion

Data visualization is not just a method of turning data into graphs and shapes to look beautiful on the dashboard it is a way of communication getting insight from your data and for that developer has made tools to facilitate this process.

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Thanks for reading this article so far. If you like these Data Visualization Tools and courses then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. - If you are interested in learning more about Data Visualization and looking for free online courses to start your Data Visualization journey then you can also check out the Modern Data Visualization with Oracle Analytics Cloud course on Udemy. It's completely free and you just need a free Udemy account to join this course.

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