Astro Sharpens The Art Of Data Visualization

By Glen Liccketto 2 years ago

Introduction

Data visualization is one of the most in-demand skills in the IT industry. The demand for data visualization specialists is increasing rapidly, with employment opportunities expected to grow by 20{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} between now and 2024. The average salary for a data scientist is $105,000 per year, but it can reach $134,000 depending on experience. Data visualization trends are evolving as well. It isn’t just about turning numbers into pictures anymore; today’s data visualizations must be interactive and engaging in order to catch the eye of viewers.

Data visualization is one of the most in-demand skills in the IT industry.

Data visualization is one of the most in-demand skills in the IT industry. The demand for data visualization specialists is increasing rapidly, with employment opportunities expected to grow by 20{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} between now and 2024.

In fact, there are so many companies looking for data scientists that they’re offering up to $300k yearly packages!

The demand for data visualization specialists is increasing rapidly, with employment opportunities expected to grow by 20{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} between now and 2024.

The demand for data visualization specialists is increasing rapidly, with employment opportunities expected to grow by 20{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} between now and 2024. This growth is driven by an increase in the number of jobs requiring this skill set, as well as a shift toward digitalization and automation that requires greater attention be paid to visual representation of information. Data visualization specialists can work in a variety of industries and roles, including:

  • Marketing (e-commerce websites)
  • Finance (financial reports)
  • Healthcare (clinical trials)

The average salary for a data scientist is $105,000 per year, but it can reach $134,000 depending on experience.

Data scientists are in demand, and the average salary for a data scientist is $105,000 per year. But it can reach $134,000 depending on experience.

Data visualization trends are evolving as well. It isn’t just about turning numbers into pictures anymore; today’s data visualizations must be interactive and engaging in order to catch the eye of viewers.

Data visualization is a critical skill for data scientists, but it’s also becoming more important in other professions. Data visualizations are used by marketers to create engaging content for social media and websites, by financial analysts to communicate complex ideas to stakeholders and clients, by sales teams who want their reports or presentations to stand out from the competition.

In short: if you work with numbers–and even if you don’t–you need to know how to turn them into pictures that tell a story. But what does this mean? What makes one chart better than another? How do we determine what type of chart should be used in each situation?

Data scientists benefit from learning how to visualize their data effectively because it increases their marketability and allows them to take their skills into a variety of positions that may not involve programming languages or software development as directly as before.

Data scientists benefit from learning how to visualize their data effectively because it increases their marketability and allows them to take their skills into a variety of positions that may not involve programming languages or software development as directly as before. As one example, some companies are hiring data visualizers to create infographics for marketing purposes.

In addition, there are many other types of jobs out there that require visualization skills: data engineers who build tools for presenting large amounts of information; researchers who use visualization techniques in academia; analysts who provide business intelligence services (BI) using dashboards; business analysts who use BI tools like Tableau or QlikView; etc..

Conclusion

So, what does this mean for you? If you’re looking to break into the data science field and want to stand out from other candidates, learning how to create effective visualizations is a great place to start. You don’t need any prior experience in programming or software development–just passion for learning new skills! With our online courses on data visualization and big data analytics (which include free access), we can help guide professionals through every step of their journey toward becoming experts in this growing field.