The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

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 & Data Sciences The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn ...

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

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 ...

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

*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.

Associate Data Scientist in Python - DataCamp: Best for beginner Python skills The DataCamp course provides practical, tool-focused coding skills for data science beginners. Image: DataCamp ...