Data Analysis

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Foundations: Data, Data, Everywhere (Coursera) Coursera
Google

Foundations: Data, Data, Everywhere (Coursera)

Embark on your journey into the world of data analytics with 'Foundations: Data, Data, Everywhere'. This introductory course is part of the Google Data Analytics Certificate program, designed to equip you with fundamental skills needed for entry-level data analyst roles. Dive into a comprehensive curriculum crafted by Google experts and learn how to apply practical data analysis techniques using top tools.

Sep 22nd 2026
5-12 Weeks
Share Data Through the Art of Visualization (Coursera) Coursera
Google

Share Data Through the Art of Visualization (Coursera)

Embark on an enlightening journey into the world of data visualization with 'Share Data Through the Art of Visualization' on Coursera. This course is part of the Google Data Analytics Certificate program designed to prepare you for entry-level data analyst roles. Dive deep into understanding how visual dashboards and other forms of data representation can transform raw data into compelling stories that inform decision-making.

Sep 22nd 2026
4 Weeks
Bioinformatic Methods I (Coursera) Coursera
University of Toronto

Bioinformatic Methods I (Coursera)

Dive into the world of bioinformatics with 'Bioinformatic Methods I'. This course is designed for biologists eager to unlock the potential of large-scale biology projects such as genome sequencing and gene expression surveys. Through hands-on learning, you'll explore web-based programs and databases to analyze complex biological data effectively.

Sep 21st 2026
5-12 Weeks
The Data Scientist's Toolbox (Coursera) Coursera
Johns Hopkins University

The Data Scientist's Toolbox (Coursera)

Embark on a journey into the world of data science with 'The Data Scientist's Toolbox'. This introductory course equips you with fundamental tools and ideas that are pivotal for any aspiring data analyst or scientist. Dive into understanding how data is transformed into knowledge, and get hands-on experience with version control, markdown, git, GitHub, R, and RStudio.

Sep 21st 2026
4 Weeks
R Programming (Coursera) Coursera
Johns Hopkins University

R Programming (Coursera)

Discover the fundamentals of R Programming with this beginner-friendly course designed by experts at Coursera. Whether you're new to coding or looking to enhance your data analysis skills, this course will guide you through installing and configuring essential software, while introducing key programming concepts tailored for statistical applications. Learn how to harness the full potential of R for data manipulation, visualization, and analysis.

Sep 21st 2026
4 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.

Sep 21st 2026
4 Weeks
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Dive into the world of Process Mining with our exclusive online course designed to equip you with essential data science skills. This course will teach you how to leverage process mining techniques to analyze and improve organizational processes, ensuring better outcomes and increased efficiency. Whether you're a business analyst, data scientist, or process improvement specialist, this course offers valuable insights that can be applied across various industries.

Sep 21st 2026
5-12 Weeks
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

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