Blog Category: Data Science Careers

The world of data science, data engineering, and analytics hasn’t shown any signs of slowing down these past few years. It continues to gain momentum ramping up efforts to improve effectiveness and efficiencies across many different business facets. In a recent report, IDC predicts that the collective sum of the world’s data will grow to175…

Jump to Free Resources for: Girls and Young Women Exploring STEM or Young Professionals and Women in STEM According to the U.S. Census Bureau, women make up half of the nation’s workforce and more than half of its population, yet they are still significantly underrepresented across all areas of the tech sector, accounting for only…

If you’re wondering how to become a data analyst, there’s a good chance that numbers appeal to you.  While seemingly endless data sheets might throw others off-balance, you find yourself drawn in, intrigued by the opportunity to parse those (almost) impenetrable walls of information for hidden insights and useful tips. Given our data-driven world, who…

Data has become a powerful tool in today’s workforce, where it is helping to translate massive amounts of structured and unstructured information into valuable business insights. As a result, the current market is flooded with a range of big data tools to process all this information.  Today’s big data tools offer endless functionalities from insight…

Today’s world revolves around data—there’s no getting around that fact. Every time we use our smartphones or log into our computers, we leave a trail of data behind us. That data holds key insights into our behavior, our likes and dislikes and the products we purchase. How do businesses make sense of all that data?…

Data science and machine learning are often equated and spoken about interchangeably, but if you’re planning to start a career in either field, it is important to understand the differences between them.  This blog will help you gain a solid understanding of what the two different yet closely connected technologies do, and how they are…

Today’s data science professionals are in high demand across a number of fields ranging from business operations and financial services to healthcare, science and more. A data scientist is an expert who uses data to extract valuable business insights. These professionals should have extensive knowledge related to computer science, data visualization and data mining along…

Many organizations today depend heavily on data regarding their customers, clients, products, operations, and market. There is now an unprecedented shift in how data is accelerating business transformation, and with that we see more and more organizations requiring talented and qualified professionals who can extract information, analytics, and insights from complex data. But what skills…

There’s never been a better time to learn data analytics and enter the growing field. The job landscape is expanding, with a wide range of opportunities in a variety of industries. When preparing for a career in data analytics, the volume of information to master can be very overwhelming. It’s always best to do some…

  Today’s world revolves around data. Every time we use our smartphone or log into our computer, we leave a data trail behind us.   How do we make sense of all that data? Through careful data analysis. By inspecting, transforming and modeling that data, data analysts are able to discover useful information that uncovers…