Princeton Training offers multiple Post Graduate Programs in the field of Data Science. You can join a top Ranked Data Science Program and earn a Postgraduate Certificate in the top-rated Data Science and Business Analytics online course from Great Lakes in collaboration with the University of Texas. The Data Science and Business Analytics course curriculum has been designed in collaboration with faculty from Great Lakes and UT Austin McCombs School of Business. This course is taught by faculties from Great Lakes, UT Austin and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty. We aim to empower our learners with everything they need to succeed in their careers, resulting in 8000+ successful career transitions. In this short program demo, you will get a glimpse of the actual content from the program and experience what it is like to be taught by the respective faculties.
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Introduction to Data Science
Data Science is an interdisciplinary field in Computer Science that uses scientific methods, processes, algorithms, and systems to extract valuable insights from noisy data. We shall look at what data is and how it is used to answer business queries in this section.
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Introduction to Machine Learning and Linear Regression
Data is the soul of Machine Learning, and there are specific methods to deal with it efficiently. This module first introduces Machine Learning and talks about the mathematical procedures involved. You will learn about supervised and unsupervised learning, Data Science Machine Learning steps, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will be going through a case study to help you effectively comprehend Machine Learning concepts.
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Introduction to Clustering
