How to Build a Career in Data Science
Today’s economy is turning increasingly toward analytics. Organizations and businesses of all sizes have spent recent years collecting huge amounts of data. According to LinkedIn, there is a massive demand for people who can mine and interpret data. These are the data scientists.
Let’s review how to build a career in a data science course.
What is a Data Scientist?
Data scientists are a mix of mathematicians, trend-spotters, and computer scientists. The data scientist’s role is to decipher large volumes of data and carry out further analysis to find trends in the data and gain a deeper insight into what it all means. Data scientists operate between the business and IT worlds and drive industries by analyzing complex datasets to tease out insights that companies can leverage into actions.
The Data Science Career Path: Skills Required for Data Scientists
If you’ve been wondering how to start a career in data science, you’ll need hard skills like analysis, machine learning, statistics, Hadoop, etc. Additionally, you will thrive in this role if you excel at so-called “soft” skills like critical thinking, persuasive communications, and are a great listener and problem solver. You’ll also need data science training, of course, and you can download our free eBook Top Programming Languages for a Data Scientist to learn more.
This is an industry where opportunities abound, so once you have the education and qualifications, the jobs are waiting for you — now and in the future.