Data Analysis

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Bioconductor for Genomic Data Science (Coursera) Coursera
Johns Hopkins University

Bioconductor for Genomic Data Science (Coursera)

Dive into the world of genomic data analysis with 'Bioconductor for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Specialization, equips you with essential skills to leverage Bioconductor tools effectively. Whether you're a researcher, biostatistician, or working in genomics, this course will empower your ability to analyze and interpret genomic data.

Nov 9th 2026
4 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Explore the world of Functional Magnetic Resonance Imaging (fMRI) in our introductory course designed for psychologists, statisticians, neuroscientists, and other professionals interested in understanding the human mind and brain. Gain insights into MR Physics, K Space, experimental design, data acquisition, analysis, and psychological inference.

Nov 9th 2026
4 Weeks
Graph Analytics for Big Data (Coursera) Coursera
University of California, San Diego

Graph Analytics for Big Data (Coursera)

Discover the fascinating world of graph analytics with this comprehensive online course designed for those eager to delve into understanding complex data networks and their behavior under various conditions. This course will equip you with essential skills in modeling, storing, retrieving, and analyzing graph-structured data, opening up new avenues for data interpretation and decision-making.

Nov 9th 2026
5-12 Weeks
Business Intelligence Concepts, Tools, and Applications (Coursera) Coursera
University of Colorado System

Business Intelligence Concepts, Tools, and Applications (Coursera)

Dive into the world of Business Intelligence with our specialized online course. Learn to harness the power of data warehouses for insightful analysis and visualization using MicroStrategy's advanced OLAP and Visualization tools. Ideal for those looking to become proficient in BI development and apply their skills to large datasets for strategic decision-making.

Nov 9th 2026
5-12 Weeks
Foundations of strategic business analytics (Coursera) Coursera
ESSEC Business School

Foundations of strategic business analytics (Coursera)

Dive into the world of strategic business analytics with this expert-led course designed for students, analysts, and data scientists. Gain a deeper understanding of how to apply statistical methods effectively in real-world business scenarios using R or other programming languages. Ideal for those with a background in statistics looking to transition into a business analysis role.

Nov 9th 2026
4 Weeks
Marketing Analytics (Coursera) Coursera
University of Virginia

Marketing Analytics (Coursera)

Dive into the world of Marketing Analytics with this comprehensive online course from Coursera. Master the art of interpreting data to make informed decisions that drive business growth and optimize your marketing strategies for maximum return on investment (ROI). Gain valuable skills in measuring, managing, and analyzing marketing performance to uncover customer trends and preferences.

Nov 9th 2026
5-12 Weeks
Data Manipulation at Scale: Systems and Algorithms (Coursera) Coursera
University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Dive into the world of big data analytics with 'Data Manipulation at Scale: Systems and Algorithms'. This course will equip you with the knowledge and skills needed to effectively manage, analyze, and manipulate large volumes of data using cutting-edge systems and algorithms. Learn how to harness powerful computing resources and programming abstractions to extract valuable insights from complex datasets.

Nov 9th 2026
4 Weeks
Practical Predictive Analytics: Models and Methods (Coursera) Coursera
University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Dive into the world of data science with 'Practical Predictive Analytics: Models and Methods'. This course is designed for those eager to learn how to design statistical experiments, analyze results using advanced techniques, and avoid common misinterpretations in big data. Gain a core understanding of practical machine learning methods and apply them to real-world problems.

Nov 9th 2026
4 Weeks