Everything in the present times depends on the digital market, whether it is paying bills, booking a cab, transaction of money, or any other field. The world relies on the information gathered over some huge communities, such as Big Data. Each sector uses Big Data culture for its enhancement and development. So to get maximum benefits over their gathered information, proper data handling is required, which can be done by data visualization.

What is Data visualization?

Data visualization plays an important role in the Big data world to manage the huge amount of data to get appropriate decisions. The graphical representation of any information or data by the use of various elements such as charts, tables, graphs, maps, etc. is known as Data visualization. To study the full aspect of data different data visualization tools are available that help in understanding trends, patterns, and outliers in any data. The way of representation of data in a visualization tool attracts our eye; that is the simple way to engage ourselves to understand the information. Different colors, patterns, and graphs keep us intact to the visualizations. Due to this reason, data visualization is the biggest benefit to many fields. Similar logic is with charts and spreadsheets, making our work much more effective. Today, many professionals are taking data visualization courses to learn more about this field.

Various Data visualization Tools

Many different tools available over the market help you slit in data visualization. Some of the tools have free trial subscriptions that help you to understand the exact frameworks for the tool. Here we are mentioning some tools that are free, and that can help you understand data visualization better.

Tableau: Tableau is one of the most popular data visualization tools that is free for one year, and then you may have premium subscriptions to this. Power BI: For users having Windows on their desktops, it is an appropriate choice to go for Power BI. Google Data Studio: It is a product offered by Google i.e., it is very helpful for you to keep all data related to google in one place. It also provides you with optimization of real-time collaboration experiences. Python and R: Both the languages mentioned above are designed with a vast library that is used for data visualizations.

Sources to learn Data visualization

There are many different sources that can be considered for learning Data visualization at the beginner’s level. Some books, tutorials, and courses are available online for free. Hence you have to start over a variety of sources, whichever is suitable to you.

Data visualization Courses

Data visualization Expert Master’s Program (Simplilearn)

This course is 4 months long where you need to spend five to ten hours per week. It is a self-paced course. In this program, you will learn Data visualization with Tableau. You will get knowledge about how to produce data visualization and data analysis and visual analytics. Through this course, you will be able to deal with real-world business cases. You will gain all shareable certificates and course certificates on completion.

Data visualization (Udacity)

This course is a Nano-Degree Program offered by Udacity. This course will teach you to build data visualization and dashboards. Then you will learn storytelling and animation techniques. The duration of completion of this course is 4 months when you spend 10 hours per week.

Learn Data Visualization with Python (Codecademy)

The duration of this course is 6 hours in all. It is offered by Codecademy to learn Data visualization with Python using Seaborn and Matplotlib. In this program, you will learn to create line graphs, pie charts, and bar charts. In the end, you will gain a certificate of completion. Before enrolling in this course, you must possess basic knowledge of Python.

Fundamentals of Data Visualization with PowerBI (edX)

The provider of this course is DavidsonX. By spending 8 to 15 hours per week, you can complete this course in 2 months of duration. This is a program where you would understand the data lifecycle that includes analyzing, manipulating, and visualizing the data using R programming, then you will apply PowerBI for implementation of your learnings.

Complete Tableau Training for Absolute Beginners (Udemy)

This course is offered by Udemy for free of cost. This course will teach you about the fundamentals of Advanced Tableau concepts. By this, you will get knowledge of automation methods used for the streamlining or elimination of traditional reporting. The duration of this course is 1 hour and 54 minutes. By this, you will be able to deal with the right visualization method for the right problem.

Data visualization Books

Storytelling with Data: A Data Visualization Guide for Business Professionals

This book is one of the top books available for data visualization concepts. This will take you through the next level of engaging, compelling, and informative visualizations that are applied to real issues. You will learn to choose the correct graph type, eliminate unnecessary data, and drive the attention of your audience to the significant points of your visualization. Hence, this book is the one-stop solution for your huge data when you want to present it in visualized forms.

Better Data visualizations: A Guide for Scholars, Researchers, and Wonks

This book is written by Jonathan Schwabish who is a data visualization writer and an economist. When a proper visual is set for all, the most essential factor is research. It helps in improving and bringing new algorithms and some better solutions for our problems. This book helps to scholar your knowledge from basic to master and hence is a good choice for data visualizations.

Conclusion

In this article, we have seen data visualization and its tools which help you understand data in a better manner. We have different courses, tutorials, and books for easy learning. According to your comfort level, you may opt for any of the resources to start over with data visualizations. It is one of the best career choices to start over for a handsome pay scale. And as it is said, knowledge never fails; it will pay back in some manner definitely; it’s never wasted.