Data Science

EdX

HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Discover the essential principles of Linear Models and Matrix Algebra in this introductory data analysis course on edX. Perfect for those interested in life sciences, this program teaches you how to represent complex analyses with matrix algebra and perform statistical inference using R programming. Enhance your understanding of experimental design and high-dimensional data analysis.

Self Paced

Self-Paced

Algebra Linear Algebra Matrix

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EdX

HarvardX,Harvard University

Introduction to Bioconductor (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into the world of genomics with 'Introduction to Bioconductor' on edX. This course unravels the complexities of genome-scale assays, offering insights into next-generation sequencing, microarrays, and how to effectively analyze and interpret genomic data using R and Bioconductor tools. Whether you're a biologist, bioinformatician, or just curious about genomics, this course provides a solid foundation.

Self Paced

Self-Paced

Genome Statistical Methods Genomics

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EdX

HarvardX,Harvard University

Advanced Bioconductor (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive deep into the world of genomics with our Advanced Bioconductor course. Gain expertise in visualizing genome-scale data, building interactive interfaces for discovery, and mastering reproducible analysis through knitr and rmarkdown. Explore data architecture and analyze large consortium-generated datasets at scale.

Self Paced

Self-Paced

Parallel Computing Biological Data Biocondutor

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EdX

HarvardX,Harvard University

Case Studies in Functional Genomics (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into the world of functional genomics with our expert-led course. Master advanced techniques such as RNA-Seq, ChIP-Seq, and DNA methylation data analysis using powerful open source software including R and Bioconductor. Gain insights into processing raw genomic data to answer complex biological questions.

Self Paced

Self-Paced

Data Analysis Biological Data Genomics

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Coursera

University of Illinois at Urbana-Champaign

Cluster Analysis in Data Mining (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Cluster Analysis with this Data Mining course. From basic concepts to advanced methodologies like k-means, hierarchical methods, and density-based algorithms, you'll gain a thorough understanding of how to effectively group data points based on their similarities. Learn techniques for validating clusters and assessing their quality, all while exploring real-world applications that demonstrate the power of cluster analysis in various fields.

Jul 13th 2026

4 Weeks

Algorithms Clustering Data Mining

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Coursera

University of Illinois at Urbana-Champaign

Text Mining and Analytics (Coursera)

Statistics & Data Analysis Data Science

Explore Text Mining and Analytics, a course designed to teach you major techniques for extracting patterns and useful knowledge from text data. Learn statistical methods that can be applied universally across various languages to support decision-making processes effectively.

Jul 13th 2026

5-12 Weeks

Algorithms Data Mining Analytics

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Coursera

University of Washington

Machine Learning: Classification (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of machine learning with 'Machine Learning: Classification' on Coursera. This course equips you with essential skills in building classification models, focusing on practical applications like analyzing sentiment and predicting loan defaults. Gain insights into financial data and text-based reviews to enhance your predictive modeling capabilities.

Jul 13th 2026

5-12 Weeks

Python Machine Learning Classification

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Coursera

University of Washington

Machine Learning: Regression (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Machine Learning: Regression' on Coursera, where you'll explore the art and science of predicting continuous outcomes. This course will guide you through creating models that forecast real-world scenarios such as housing prices based on various features. Whether you're in data science, finance, healthcare, or any field dealing with predictive analytics, this course offers valuable insights into regression analysis.

Jul 13th 2026

5-12 Weeks

Python Algorithms Machine Learning

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Coursera

University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Statistics & Data Analysis Data Science

Discover how machine learning can transform your business by enrolling in 'Machine Learning Foundations: A Case Study Approach'. This hands-on course provides a thorough understanding of key machine learning concepts and techniques, equipping you with the skills to analyze data effectively and make informed decisions. Learn from real-world examples and apply what you've learned immediately.

Jul 13th 2026

5-12 Weeks

Python Machine Learning Clustering

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