In today’s economy, businesses and institutions rely on data analysis to reach their goals. Data collection is made possible by technological advancements, but insightful data analysis requires human ...

You will build a solid foundation in linear algebra, calculus, probability and number theory, and learn to use professional software tools for mathematics and data analysis applications. If you choose ...

A data analyst’s educational background generally involves knowledge in quantitative fields such as computer science, statistics and mathematics, but also from specialized business domains. Also ...

Data Science is an interdisciplinary undergraduate program at SFU involving coursework in four different areas: Statistics, Computing Science, Mathematics, and Business.The program was designed in ...

Data scientists also need the communication skills to give talks with clients to help them understand the needs at the beginning of a project and present results at the end, he said. “We want to ...

Business intelligence and data science often go hand in hand. Both fields focus on deriving business insights from data, yet data scientists are regularly touted as the unicorns of big data analysis.

Data Science Track: Students who choose this interdisciplinary track take a balanced mix of courses in Statistics, Computer Science and Mathematics, equipping them with the knowledge and experiences ...

Majoring in Statistics and Data Science. Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under ...

Many professions leverage statistical analysis, operations research or other approaches to data analysis. Some use a lot of math, others just a little. One of them may be the perfect fit for you.