Statistical Thinking

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Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera) Coursera
SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Discover the power of Statistical Thinking for Industrial Problem Solving, an applied statistics course designed for scientists and engineers. Developed by JMP, a division of SAS, this course equips you with essential skills to use data and basic statistical methods to tackle real-world challenges effectively.

Jun 1st 2026
5-12 Weeks
Introduction to Computational Thinking and Data Science (edX) EdX
MIT,MITx

Introduction to Computational Thinking and Data Science (edX)

Embark on a journey into the world of computational thinking and data science with our beginner-friendly course. Gain essential skills in using computation to tackle various challenges and explore diverse topics in computational problem solving. Perfect for students with some Python programming background.

Mar 20th 2024
5-12 Weeks
Get ready for a Masters in Data Science and AI (FutureLearn) FutureLearn
Coventry University

Get ready for a Masters in Data Science and AI (FutureLearn)

Are you considering a Master’s degree in Data Science and Artificial Intelligence? This course is designed to help you assess your readiness for advanced study, enhance your data science capabilities, and familiarize yourself with the fundamentals of Python programming. Gain insights into what life as a Data Science and AI Master's student entails.

Apr 17th 2023
2 Weeks
Statistical Thinking for Data Science and Analytics (edX) EdX
Columbia University,ColumbiaX

Statistical Thinking for Data Science and Analytics (edX)

Dive into Statistical Thinking for Data Science and Analytics on edX and gain a robust understanding of statistics as the cornerstone of data science. This course will guide you through essential concepts like designing data collections, deriving insights from visualizations, making data-based decisions, and constructing predictive models. Ideal for those new to data science or looking to deepen their analytical skills.

Self Paced
Self-Paced
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