From maps that update in real time to shopping apps that know the products we want before we do, innovative companies use technology to make our lives easier. One way they do this is by collecting massive amounts of data on our online actions and spending habits. They can then use this data to make optimal business decisions to further improve their products and services.

At the heart of the process are talented data scientists. They use the latest analytical tools to solve problems and make insightful discoveries. Whether it’s recommending movies based on our viewing history or laser-targeting a certain demographic based on sales figures, data scientists are masters of big data.

The role requires a range of different skills. In this article, we’ll discuss what you need to learn to become a data scientist. We’ll also look at how you can learn these fundamental skills through specialized online programs designed to get you on the right track.

What Does a Data Scientist Do?

Data scientists focus on gathering and analyzing large sets of structured and unstructured data. A data scientist’s role is a combination of various fields including computer science, statistics, and mathematics. First, they process, analyze, and model data. Then, they interpret the results to develop actionable plans for either their company or their clients.

Data scientists are experts in analysis and use their skills in both technology and social science, to break down data and identify trends. Using their industry knowledge, contextual understanding, and skepticism of existing assumptions, they come up with original solutions to business challenges.

They’re responsible for understanding huge chunks of haphazard, unstructured data, from multiple sources. They must cleanse and aggregate data from smart gadgets, social media platforms, and emails, for example, that isn’t already nicely packaged in a database.

Effective data scientists are proficient at identifying relevant questions, gathering data from a wide collection of sources, organizing data, and translating the results into actionable solutions.

They’re also required to communicate their findings to company stakeholders. Since these skills are required in almost all industries, skilled data scientists are becoming increasingly valuable to companies worldwide.

Essential Skills for Data Scientists

Here are some skills you should focus on, to make it in the data science field:

Different data science projects will always have diverse requirements and unique aims. These suggestions are presented as a general, informative, and non-exhaustive list of required data scientist skills. Studying the areas mentioned above will help you succeed in your journey to become a data scientist.

Examples of Data Science in Action

Some examples of how businesses can benefit from data science include:

Soft Skills Required for Data Science Roles

Hard technical skills alone are not enough to succeed as a data scientist. You’ll also need social and interpersonal skills. Some examples include:

How to Learn Data Scientist Skills

Online data science bootcamps have been growing in popularity in recent years. They provide aspiring data scientists with the opportunity to learn all the skills necessary to land a well-paid big data job.

Unlike degree programs which are expensive and can take up to 4 years to complete, bootcamps are intensive, laser-focused, and affordable learning courses. Enroll in our data science bootcamp today to start your accelerated program of online classes. You’ll benefit from one-on-one mentoring from leading data experts. As part of the course you’ll build a professional portfolio to wow prospective employers and help launch your big data career.

A Rewarding Career in Data Science Awaits

Whether you’re a fresher in the field of data science or a seasoned data scientist, how efficiently you leverage the enormous amount of data around you will decide how successful you are in this field. If you have an analytical mind and a passion for big data, a future in data science could be perfect for you.

Maybe you’ve realized it’s time to brush up on MySQL, or highlight your stellar communication skills in your next cover letter. In one way or another, hopefully we’ve inspired you to level-up your data career. Check out our data science blog for further insight into the field, like whether data science degrees are actually worth it.

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