Jan 16, 2019

4 Reasons to Pursue Data Analytics Training

Data analytics is more in demand now than ever before. As technology continues evolving, innovations and advancements like the Internet of Things (IoT), machine learning, and artificial intelligence (AI) drive demand for employees with the necessary skills to handle the vast amounts of data produced. Whether you're considering taking a statistical analysis and data mining course or seeking a full program along with data analysis training on the side, doing so might just be the step you need to take to kick your career into gear. Unsure if this is the right path for you? Consider these four reasons to undergo data analytics training soon.

Employers See Value in Employees with Data Analytics Training

Perhaps the most important reason to pursue is this: employers are increasingly aware of the value employees of all backgrounds and positions who have skills in using data analytics to solve complex business problems. As many businesses move to automate repetitive tasks associated with data cleaning and preparation, skilled workers perform complex, data-driven tasks like predictive modeling.

The Unending Need for Speed

No matter the industry, people want high-speed technology. Whether it's internet searches, commerce, business websites, or other networks, customers want instant gratification. Even more importantly, enterprises need fresh and accurate data along with real-time, data-driven insights. Today's technology workforce must be able to create analytic pipelines that can keep the data flowing quickly. This allows businesses to take advantage of opportunities that come and go at lightning-fast speeds. When you take data analysis and reporting courses, you learn how to do just that, in addition to strategies you need to be able to act on the data that's coming in.

Variety of Job Titles to Choose From

Data analytics is a broad field. It encompasses many different nuanced nooks and crannies, which gives you flexibility and freedom to choose the area you like best. Some of the common job titles associated with the field include:

  • Data analyst

  • Big data engineer

  • Metrics and analytics specialist

  • Data analytics consultant

Increasing Compensation Levels

Here's the thing: data analysts of all types are steadily in demand. At the same time, there's a low supply of skilled professionals out there to meet that demand. This translates to solid job opportunities with good pay. According to Indeed, the average annual salary for data analysts is more than $64,000, while jobs associated with big data pay anywhere from $60,000 to $130,000 or more.

If you think that data analyst training is the stepping stone you need to jump start your future, consider a Udacity Nanodegree program. You'll learn essential skills like how to use SQL, statistics, and Python to harness the power of data and create valuable solutions. Research suggests that 59 percent of businesses plan to increase the number of positions requiring these skills. Are you prepared? If not, why wait? Sign up today to start learning the skills you need for your future.