Top 5 Data Visualization Tools every data students should learn

Data is like “new oil”. It is used by every company to analyze its data, insights, etc. But Raw data is not enough to create impact. It’s up to you how you visualize it to make it engaging. No matter whether you are a student who wants to learn it, or professional who wants to brush up on the skills. But knowing the right visualization helps you to succeed in the journey. You can start with the Data Analytics Courses in Delhi. 

Here are the Top 5 Data Visualization tools, which you should master.

1. Microsoft PowerBI

It is the tool used for reports and creating dashboards. ADMEC Multimedia Institute is known as a reputed Institute. They provide the best Power BI Course in Delhi. Under which they teach to connect multiple data sources. How yo turn into meaningful visuals. 

Why should you learn it?

• It is beginner-friendly and has a drop feature. 

• It is mostly used in business and corporate settings.

• Strong integration with Excel.

Students who learn the Business Intelligence field should learn it.  

2. Tableau

Tableau is simply the best data visualization tool. And it includes drag-and drop feature. It focused more on storytelling, with data. You don’t need to have prior coding. You can easily create shareable dashboards, too. 

You should Learn it because.

• Perfect worked for large datasets.

• It is in demand for analytics roles in the Industry.

• It is perfect for publishing and making dashboards.

Perfect for students who are interested in researching, analyzing, and visualizing. 

3. Python, and Matplotlib

It is the big data visualization power. It is the powerhouse for visualizing data. These include best libraries, such as Seaborn, Matplotlib. These libraries create simple chart bars to regression plots. 

Why should you Learn it?

• It do both tasks, data visualization and data cleaning

• It is widely used in Machine Learning, data science, and AI projects.

• The best thing about it, is free source.

It is best skill to learn for students interested in the AI fields and data science.

4. Excel

Excel is still there. It still has a place in data analytics. Because it's simple, and easier to visualize, and analyse data without needing complex tools. 

You should Learn it, why?

• It can easily be used for small datasets, and it is effective. .

• Every company almost needs it

• It has advanced visualization tools. 

If you want to make your base strong in foundational data skills. Then must learn it on time. 

5. Google Data Studio (Looker Studio)

This is Google Data Studio, which is now known as Looker Studio. It can create free, and interactive dashboards. It has worked very smoothly with Analytics and Google Sheets. 

Why should you Learn it?

• It has a good integration with google sheets

• You can share it easily or collaborate.

• It is cloud-based and free to use

It is for those students who have an interest in web and digital marketing data.

Conclusion

Now, learning data is not enough for data students. Those important visualizations, they should know about it. It is the advice, you should start with Excel, then move to other ones, such as Tableau, PowerBI. Then Python, etc.