Data Science

Coursera

Rice University

Linear Regression for Business Statistics (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Linear Regression Analysis with our specialized online course tailored for business statistics enthusiasts. This course is part of a broader Business Statistics and Analysis specialization, where you'll learn essential tools like regression analysis to enhance your predictive modeling skills. Gain expertise in applying procedures such as dummy variable regressions, transforming variables, and interaction effects through practical Microsoft Excel examples.

Jul 13th 2026

4 Weeks

Regression Data Analysis Linear Regression

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EdX

Babson College

Analytics for Decision Making (edX)

Management & Leadership Statistics & Data Analysis

Unlock the power of sound statistical thinking with our 'Analytics for Decision Making' course on edX. Learn how to analyze various data types and quality to make smart business decisions. This course will equip you with essential skills to avoid bad decisions and gain a competitive advantage by understanding variation, risk assessment, and source identification in data analysis.

Self Paced

Self-Paced

Data Analysis Decision Making Analytics

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Coursera

University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

Statistics & Data Analysis Data Science

Discover the art and science of data representation through this engaging online course. Designed to equip you with essential skills in Python-based data visualization, this course focuses on mastering plotting, charting, and data representation techniques using matplotlib. Whether you're a beginner or an intermediate user, this course will enhance your ability to create compelling visual stories from complex datasets.

Jul 13th 2026

4 Weeks

Python Data Analysis Data Science

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Coursera

University of California, Santa Cruz

Bayesian Statistics: Techniques and Models (Coursera)

Statistics & Data Analysis Data Science

Expand your understanding of Bayesian statistics by delving into more complex techniques and models. This course builds on foundational concepts, equipping you with advanced tools for analyzing real-world datasets effectively.

Jul 13th 2026

5-12 Weeks

Monte Carlo Method ANOVA Statistical Modeling

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EdX

University of Adelaide,AdelaideX

Programming for Data Science (edX)

CS: Programming Data Science

Embark on a journey into the world of data science with this comprehensive Programming for Data Science course from edX. Designed for beginners, this program will equip you with essential programming skills, computational thinking abilities, and data analysis techniques needed to solve complex real-world problems. Dive into engaging activities and collaborative assignments that will pave your way towards becoming proficient in handling Big Data sets.

Self Paced

Self-Paced

Programming Big Data Data Analysis

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Coursera

University of Minnesota

Matrix Factorization and Advanced Techniques (Coursera)

Data Science

Explore a comprehensive course on Coursera that delves into the intricacies of Matrix Factorization and Advanced Techniques. Learn how to construct powerful recommender systems by mastering dimensionality reduction and combining various algorithms effectively.

Jul 13th 2026

5-12 Weeks

Machine Learning Matrix Recommender Systems

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EdX

The University of British Columbia,UBCx

How to Code: Complex Data (edX)

CS: Software Engineering Data Science

Unlock the secrets to creating sophisticated software solutions with 'How to Code: Complex Data'. This course will guide you through the intricacies of advanced programming techniques, including new data structures, abstraction, and generative recursion. Perfect for developers looking to elevate their coding skills and create efficient, well-structured programs.

Self Paced

Self-Paced

Programming Data Structures Software Development

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EdX

HarvardX,Harvard University

Statistics and R (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into the world of data analysis with 'Statistics and R' on edX. This course is perfect for beginners in the life sciences who want to understand basic statistical concepts and learn how to use R programming to analyze data. Gain proficiency in computing p-values and constructing confidence intervals, all while enhancing your R skills.

Self Paced

Self-Paced

Statistics Data Analysis Statistical Inference

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EdX

HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced

Self-Paced

Statistics Modeling Statistical Inference

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