Data visualization is the process of taking any raw data, no matter that data belong to any industry, and transforming it into a representation of graphs shapes for better understanding your data and getting insights and better decision making for your business.
To work effectively with data, you must know essential tools. In this article, I will share 5 necessary Data Visualization tools every Data Scientist, and Data Analyst should know.
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 areas that ask you to have these skills on your resume with a salary between $51k and $112k annually in some countries.
Suppose you plan to be a machine learning engineer, Data Analyst, Business analyst, or learning business in your college. In that case, you should definitely know these skills for better decision-making and a better understanding of your data. You will see in this article many data visualization tools to make that easy for you.
5 Best Data Visualization Tools for Data Analysis and Data Science
Here is a list of the best data visualization tools Data scientists and Data Analysts can learn for Data Visualisations and creating stories from Data. The list includes essential 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 create charts, graphs, and other data visualization artifacts.
If you have never heard about this fabulous tool, you are 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 transform 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 work 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.
Suppose you want to learn Tableau and look for recommendations. In that case, I highly recommend you to check out Tableau 2022 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 about Tableau now.
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 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. It is more than sufficient for what you are looking for.
If you already like Microsoft Power BI and looking for valuable resources to learn Power BI, I suggest you check out Microsoft Power BI – Up and Running with Power BI Desktop course by Chris Dutton and Aaron Parry of Maven Analytics.
The following data visualization tool that we will be looking for is called QlikView and think. Most of you didn’t hear about it, and this tool is considered Tableau’s primary competitor with more than 50 thousand customers.
Many big companies such as Ford and Paypausees QlikView analyze their data because it is a good software for 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 an excellent 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.
This modern data visualization platform helps you extract insight from your data by transforming it into visualized graphs for simplifying your work and the best decision-making for your business.
The tools combine two things to do powerful interactive data visualization: artificial intelligence and human intuition by simply dragging and dropping to create a beautiful data visualization.
It’s touted as the next generation of QlikView, and the tool is getting quick adoption by the industry. There is also an increase in demand forQlikSense skills,l 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.
The last tool in this article, and I think all of you have heard about Microsoft Excel. This tool is considered the essential tool in our suggestions, and it is easy to use and set up either on your Windows or macOS.
If you are a beginner in data visualization, you can use Excel to get familiar with it before jumping into more advanced software, and it is suitable for small data. Although it is limited to just 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 universal tool, learning it from DAta Visialzuation can make a lot of sense. 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 2022?
After exploring some data visualization tools, you may want to learn some of them. I will suggest this Data Storytelling and Data Visualization 2022 course on udemy. 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 and why it is so important to take advantage of it, how to turn them into advanced data visualization dashboards using different tools, and how to properly format your graphs.
You will learn in this course:
- How to use different tools for visualization.
- How to use other programming languages for visualization.
- Learn the importance of data in this modern world.
That’s all about the best Data Visualization tool every Data Analyst should learn in 2022. Data visualization is not just 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 best Data Visualization Tools and courses, please share them 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, 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.