Data scientists use some of the most cutting edge tools in tech, and also reel in impressive  salaries. So it’s no surprise that it takes some specialized training to be successful.

Since it’s such a new field, there’s no clear-cut path to getting hired in big data. So we’ve outlined some of the skills you need to learn as well as your course options to help you start your new career.

A Brief History of Data Science

Data science was first used as a tool to detect banking fraud but has now penetrated many different sectors. In 2008 several large tech companies realized the need for professionals with the ability to gather and analyze data. The term data scientist came into existence shortly after.

Hal Karen, chief economist at Google and UC Berkeley professor had forecasted in an article, published by McKinsey in 2009, that the most in-demand skillset for the next decade would be the ability to analyze data and extract value from it.

This prediction was spot on. According to Glassdoor, data science has been the number one job in the US for four years in a row. There’s an upsurge in demand for data scientists, and it’s not going to decline soon. According to the US Bureau of Labor Statistics, the demand for data scientists will see a growth of 27.6 percent in employment by 2026.

As the demand continues to soar there’s a dire shortage of data professionals. US companies spend megabucks on data science training, yet, it's still not adequate to meet the influx of demand.

What is Data Science?

Data scientists collect, store, organize and analyze data to help organizations to make data-driven decisions.

One of the most prominent examples of data science in action can be seen at Amazon.com. Amazon collects massive amounts of data and customizes its homepage depending on your recent purchases, search history, and buying behavior. These data-driven customizations can significantly boost sales and give Amazon an edge over its competitors. McKinsey Global has suggested that companies can enhance their profit margins by 60% through big data.

Data science doesn’t just benefit companies. By browsing custom products that are super relevant, consumers can save time and have a better online shopping experience. Companies like BlueDot are going one step further as they try to tackle the current pandemic. They’re analyzing high volumes of data to predict the next breakout and actually save lives with data science.

What Does a Data Scientist Do?

Data scientists are highly qualified professionals that possess strong technical knowledge. They build complex algorithms that organize and synthesize large amounts of data. The goal of a data scientist is to help drive business strategy through data-driven decision making.

Why Become a Data Scientist?

The demand for data science professionals continues to surge. Companies across the U.S. are struggling to fill their data-related positions. It’s not only the technology industry either. Various other job sectors also require data experts. In fact, big tech companies such as Google, Microsoft, Amazon, Apple, and Facebook employ only 1% of the workforce.

With such high demand comes lucrative compensation packages. According to Glassdoor, the average income of a data science expert in the U.S. is $113,000.

How to Become a Data Scientist

Now that you’ve decided to pursue a career in data science, you’re probably wondering how to get started. There are a few different paths you can take to learn the skills you need. Let’s discuss the options:

Data Science Training

Data science is a mix of multiple disciplines like mathematics, statistics, and programming. To become an expert in any of these fields is one thing, but to master them all requires hard work and determination. Let’s look at some of the required skills in more detail:

Considering these challenges, it’s better to learn data science in a structured environment with the help of experienced mentors.

Is a Data Science Training Bootcamp Worth It?

Bootcamps equip you with all the skills you need for an entry-level or a junior scientist job. You’ll gain career-ready skills in the following areas: programming languages, data analysis, data visualization, data prediction, statistical analysis, predictive analysis, and Big Data frameworks like Hadoop and Spark. Here are several benefits to completing a bootcamp course:

Your Next Step toward a Career in Data

Data science is an incredibly rewarding field. Positions in this industry not only bring immense job satisfaction, but offer well-paid salaries, excellent job prospects, and job security. You’ll get the opportunity to harness the power of data and make insightful discoveries to push your company forward.

Our data science bootcamp is a great place to start your journey. If you want to ease into the field and start with a little self-learning, you can also head over to our data science blog. You’ll find many more articles on the topic of big data including what it’s like to work as a data scientist.

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