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Trees, SVM and Unsupervised Learning (Coursera) Coursera
University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Sep 7th 2026
4 Weeks
Statistics Regression Neural Networks
Details
Statistics in Psychological Research (Coursera) Coursera
American Psychological Association

Statistics in Psychological Research (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Statistics in Psychological Research' and unlock the secrets behind data analysis in psychology. This course is designed for undergraduates, high school students, and professionals eager to explore statistics, research methods, and data interpretation within the context of psychological studies.

Sep 7th 2026
5-12 Weeks
Statistics Psychology Psychological Research
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Statistics for Data Science Essentials (Coursera) Coursera
University of Pennsylvania

Statistics for Data Science Essentials (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data science with our 'Statistics for Data Science Essentials' course. This beginner-friendly program will guide you through the basics of discrete math and probability, equipping you with essential tools like the central limit theorem and confidence intervals. Perfect for those looking to build a strong foundation in statistical analysis.

Sep 7th 2026
4 Weeks
Statistics Probability Data Science
Details
Data Collection and Root Cause Analysis (Coursera) Coursera
SkillUp EdTech

Data Collection and Root Cause Analysis (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey towards becoming an adept process improvement specialist with our Data Collection and Root Cause Analysis course. Designed for those aiming to pass the ASQ Certified Six Sigma Yellow Belt exam, this course provides you with the necessary tools and techniques to effectively collect data, analyze it, identify root causes of problems, and implement solutions that lead to sustained improvements in your workplace.

Sep 7th 2026
4 Weeks
Statistics Data Collection Hypothesis Testing
Details
How Science Turns Data Into Knowledge (Coursera) Coursera
University of Michigan

How Science Turns Data Into Knowledge (Coursera)

Data Science

Dive into 'How Science Turns Data Into Knowledge' and transform raw data into meaningful insights. This course will equip you with the skills to critically assess scientific studies, recognize statistical significance, and effectively communicate research findings. Whether you're a student, professional, or enthusiast, this course offers invaluable tools for navigating the world of science.

Sep 7th 2026
4 Weeks
Statistics Probability Data Analysis
Details
How to Describe Data (Coursera) Coursera
University of Michigan

How to Describe Data (Coursera)

Data Science

Discover 'How to Describe Data', an introductory course designed for those new to data analysis. This course will equip you with the skills needed to critically evaluate statistical information found in headlines, advertisements, research, and more. Explore how data helps us make sense of the world and learn the basics of discussing and presenting various types of data.

Sep 7th 2026
4 Weeks
Statistics Probability Data Analysis
Details
Statistics Using Python (edX) EdX
University of Wisconsin–Madison,WisconsinX

Statistics Using Python (edX)

Statistics & Data Analysis CS: Programming

Discover how to harness the power of Python in understanding and interpreting statistical data with our 'Statistics Using Python' course on edX. This beginner-friendly program serves as an excellent foundation for anyone looking to perform data-driven business analysis. You'll explore concepts such as descriptive statistics, probability theory, hypothesis testing, correlation, and regression modeling while learning essential Python programming skills that are crucial in the modern analytical landscape.

Sep 2nd 2026
5-12 Weeks
Python Statistics Probability
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