Master's in Data Science

Types of Machine Learning Algorithms

Machine learning (ML) is becoming increasingly important as more people use online search engines, recommendation algorithms, and other software that relies on artificial intelligence (AI). Different machine learning algorithms have different benefits and uses, and data science professionals can help organizations decide which technique to use. To learn more about the different types of machine learning algorithms, check out the infographic below, created by Maryville University’s online Master of Science in Data Science program. Machine learning (ML) is becoming increasingly important as more people use online search engines, recommendation algorithms, and other software that relies on artificial intelligence (AI). Different machine learning […]

Smart Cities of the Future

The term “smart city” was coined in the early 2000s as major technology firms such as IBM and Cisco worked to leverage connectedness for greater urban productivity, efficiency, and sustainability. Since then, cities worldwide have used data science to implement at least some features of the smart cities of the future. To learn more, check out the infographic below, created by Maryville University’s online Master of Science in Data Science program. What Is a Smart City? Although no universally agreed-upon definition of smart cities exists, experts usually describe smart cities as cities that incorporate interconnected sensors, the Internet of Things […]

What Is Data Wrangling?

The world generated an estimated 2.5 quintillion bytes of data daily in 2020, and experts project that number will grow to 436 daily exabytes by 2025. In this era of big data, growing numbers of businesses across a wide range of industries rely on data wrangling professionals to help them sort, clean, and restructure their data into analysis-friendly formats. Data wrangling is an essential part of carving meaningful insights out of massive amounts of data, and data wranglers have strong job prospects as companies large and small increasingly use data analysis to guide business decisions. The exciting field of big […]

What Is Data Modeling?

Businesses today increasingly rely on data to drive decision-making. However, data comes in many forms, which must be sorted and have rules assigned to it before it can be analyzed. This is where data modeling comes in. IBM defines data modeling as the creation of a visual representation of a data set in its entirety, or specific parts of it, to illustrate how data points and structures connect. For example, if an organization assigns clients a customer ID, those ID numbers become more useful when they’re assigned to correspond with the products customers buy and the intervals at which they […]

Predictive Analytics in Insurance: Types, Tools, and the Future

Tables of Contents What Is Predictive Analytics?Predictive Analytics – Life Insurance IndustryPredictive Analytics – Health Insurance IndustryPredictive Analytics Tools for the Insurance IndustryThe Future of Predictive Analytics Use in the Insurance IndustryDelivering the Benefits of Big Data to the Insurance Industry The insurance industry is based on a simple equation: Better data = more accurate risk calculations = higher profits In the age of big data and artificial intelligence (AI), insurance companies compete to have the highest-quality data and topflight analytics tools to convert the data into business intelligence. The state of the art in data analytics is predictive analytics, […]

Data Science vs. Computer Science: Career Differences

Computer technology and big data impact many aspects of modern life, from the way we shop to how we navigate cities and connect with others via social media platforms. Data scientists and computer scientists play an integral role in creating these digitally driven tools, making them user-friendly, and tapping into their potential to help companies refine their products and services. That said, the precise roles of professionals in data science vs. computer science differ significantly in terms of output and required skill set. Data Science vs. Computer Science: Knowing the Key Differences Data scientists look for meaning in large swaths of data using tools […]

Math in Action: Explore a Master’s in Statistics vs. Data Science

Modern industry relies on mathematics in the form of data. Data helps organizations track trends, identify opportunities, and make improvements in their processes and business models. Organizations across industries look to professionals who understand data and know how to interpret it to help drive success. If you’re excited by the exploration of data and ready to advance your career, pursuing an advanced degree might be the right next step. Master’s degree programs in both statistics and data science explore how data can put math into action, but their paths vary. There are several differences to consider when weighing a master’s […]

Research Analyst vs. Data Scientist: Comparing Two Analytical Careers

Information is used to make high-level decisions in industries that rely on large amounts of data, such as finance, healthcare, and education. Companies in these industries need highly skilled data professionals who understand not just how to work with and analyze the information but also how to program storage software and hardware systems that are cost-effective and efficient for the storage, transfer, and protection of important data. Those with advanced data degrees often pursue careers as research analysts and data scientists. These professionals can play a crucial role in a company’s future, using their in-depth knowledge of programming languages, hardware, […]

Computer Systems Analyst vs. Business Analyst: Looking at Two Distinct Careers

Leaders who make decisions based on facts run the business world. Consider this scenario: A CEO at a multinational tech corporation decides his business needs to launch a new product to stay ahead of the market. That CEO turns to his production team, which decides what type of product to pursue. That team then enlists designers and programmers to determine what the product will look like and how it will function. At every level, business professionals make decisions that impact their organization’s success. In the digital era, business executives, directors, and managers, as well as their employees, benefit from data […]

Women in Statistics and Data Science

The 2016 film Hidden Figures was a hit at the box office, earning millions of dollars and multiple Academy Award nominations. The film garnered widespread acclaim from critics and audiences alike for its portrayal of three black women working for NASA in the 1960s. Though Hidden Figures fudged some facts and dates to fit its narrative, the central figures of the movie were real –– including Katherine Johnson, portrayed by Taraji P. Henson. Johnson was a NASA mathematician for over 30 years, helping the Space Task Force calculate trajectories for launches and landings on the Mercury, Gemini, and Apollo missions. […]