University of Pittsburgh Webinar: An Inside look at the Pitt MDS program 6.27.24 скачать в хорошем качестве

University of Pittsburgh Webinar: An Inside look at the Pitt MDS program 6.27.24

Learn more about the University of Pittsburgh’s Master of Data Science (MDS) online program. Hear directly from our faculty on program structure, admission requirements, and how Pitt’s groundbreaking online MDS program can empower you to excel in the dynamic and growing field of data science. Advance or start your career in data science with the University of Pittsburgh’s fully online Master of Data Science (MDS) program. This 30-credit program will provide students with core computational, mathematical, and statistical concepts as well as predictive and database modeling, machine learning, data exploration, data management, and data curation. There are no admissions process requiring prior data or computer science work, programming experience or even an academic history beyond a bachelor’s degree. The fully accredited MDS program is performance-based, requiring students to attain a 3.0 grade-point average in an initial, three-credit course to continue toward the graduate degree. Learn more about the University of Pittsburgh's Online MDS program here: https://bit.ly/3VR0qdQ ABOUT COURSERA Coursera partners with more than 275 leading universities and companies to bring flexible, affordable, job-relevant online learning to individuals and organizations worldwide. We offer a range of learning opportunities—from hands-on projects and courses to job-ready certificates and degree programs. Remember to like, subscribe, and share this video with friends and colleagues looking to create new career possibilities. Visit Coursera at: https://bit.ly/46X30CH Unlock unlimited learning with a Coursera Plus subscription: https://bit.ly/48gBUHW Check out more from Coursera: @Coursera Connect with us: facebook.com/coursera twitter.com/coursera instagram.com/coursera tiktok.com/@coursera #CourseraPlus #Coursera #LearnWithoutLimits #OnlineLearning