Gain practical experience working with data using statistical methods, R, Python, and modern data science workflows Learn how to draw credible conclusions from data and connect empirical results to ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Foundational Courses, Maximum of 6 Credits A maximum of six credit hours of foundational skills courses at the 3000–4000 level may be applied to the Master of Science in Data Science. These courses ...

Statistical and Data Sciences Major Requirements Ten courses plus SDS 100 SDS 100 Five foundations and core courses: CSC 110 or CSC 120 SDS 192 MTH 211 SDS 210 SDS 291 One programming depth course: ...

Using the poplar and easy-to-learn Python language, this course offers a practical introduction to basics of programming and how it can be used to analyze, structure, and visualize data. Students will ...

Learning statistics is essential for pursuing a career in data science or analytics. Data scientists and analysts use statistics to uncover the meaning behind data.

To help bring the application of data science to a variety of fields, Case Western Reserve University has developed a unique Applied Data Science undergraduate minor that can be paired with any ...

Specialization: Bayesian Statistics for Data Science Instructor: Brian Zaharatos Prior knowledge needed: Statistics View on Coursera Learning Outcomes Articulate the primary interpretations of ...