Statistics

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Data Science in Real Life (Coursera) Coursera
Johns Hopkins University

Data Science in Real Life (Coursera)

Discover how to effectively manage real-life data analysis projects with 'Data Science in Real Life'. This course teaches you to navigate through complex, imperfect datasets and turn them into clear, actionable insights. Perfect for professionals looking to refine their skills and lead successful data science teams.

Sep 7th 2026
1 Week
A Crash Course in Data Science (Coursera) Coursera
Johns Hopkins University

A Crash Course in Data Science (Coursera)

Embark on a one-week journey to understand the buzz around data science and big data. This concise course is designed for anyone looking to grasp the essentials without any unnecessary complexity. Whether you're new to the field or seeking to manage data scientists, this class will quickly bring you up to speed with data science principles.

Sep 7th 2026
1 Week
Fundamentals of Engineering Exam Review (Coursera) Coursera
Georgia Institute of Technology

Fundamentals of Engineering Exam Review (Coursera)

Are you ready to ace your Fundamentals of Engineering (FE) Exam? This course is designed to provide an in-depth review of all critical topics covered in the FE exam, specifically tailored for Civil and Mechanical Engineering students. With a focus on key concepts, real-world examples, and plenty of practice problems, this course will equip you with the knowledge and skills needed to succeed.

Sep 7th 2026
5-12 Weeks
Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

Sep 7th 2026
5-12 Weeks
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions (Coursera) Coursera
Rice University

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions (Coursera)

Discover the essential skills of interpreting and applying business statistics with our introductory course. From understanding descriptive statistics to grasping statistical distributions, you'll learn how to make accurate interpretations from data and make better business decisions.

Sep 7th 2026
4 Weeks
Mindware: Critical Thinking for the Information Age (Coursera) Coursera
University of Michigan

Mindware: Critical Thinking for the Information Age (Coursera)

Embark on a journey to sharpen your mind with 'Mindware: Critical Thinking for the Information Age'. This course equips you with essential concepts from statistics, probability, scientific methodology, cognitive psychology, and cost-benefit theory. Learn how to apply these critical thinking skills in business, media analysis, and everyday decision-making.

Sep 7th 2026
4 Weeks
Practical Time Series Analysis (Coursera) Coursera
The State University of New York

Practical Time Series Analysis (Coursera)

Dive into Practical Time Series Analysis to gain a deep understanding of how to effectively analyze and interpret time-based data. This course is perfect for those who need more than just basic analytics skills but don't have formal training in the field. Learn routine presentation and analysis techniques that will enhance your professional insights.

Sep 7th 2026
5-12 Weeks
Inferential Statistical Analysis with Python (Coursera) Coursera
University of Michigan

Inferential Statistical Analysis with Python (Coursera)

Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.

Sep 7th 2026
4 Weeks