Statistics & Data Analysis

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The Data Science Method (edX) EdX
IBM

The Data Science Method (edX)

Dive into The Data Science Method course to master the art and science of data analysis. Explore key methodologies, practices, and requirements that are crucial for solving complex problems using data effectively. This course is designed for those looking to make data relevant and properly manipulated to tackle various business scenarios and real-world projects.

Self Paced
Self-Paced
Practical SAS Programming and Certification Review (Coursera) Coursera
SAS

Practical SAS Programming and Certification Review (Coursera)

Dive into Practical SAS Programming and Certification Review, a course designed for learners who have already grasped the basics of SAS programming and are ready to apply their skills in realistic scenarios. This course serves as an ideal preparation ground for aspiring candidates aiming to pass the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam. With a focus on practical problem-solving and thorough concept review, this course equips you with the knowledge and confidence needed to succeed.

Nov 9th 2026
5-12 Weeks
Data Analysis with Python (Coursera) Coursera
IBM

Data Analysis with Python (Coursera)

Embark on a journey into the world of data with 'Data Analysis with Python'. This course is designed for beginners who want to learn how to analyze data using Python. From understanding basic Python syntax to diving deep into complex data analysis techniques, this course will equip you with the skills needed to unlock the power of data.

Nov 9th 2026
5-12 Weeks
Decision-Making for Autonomous Systems (edX) EdX
Chalmers University of Technology,ChalmersX

Decision-Making for Autonomous Systems (edX)

Explore the intricate world of decision-making within autonomous vehicles, including self-driving cars, through this engaging online course. Learn to navigate the complexities of single-vehicle autonomy and multi-vehicle coordination using fundamental mathematical models. Perfect for enthusiasts, engineers, and professionals looking to advance their knowledge in autonomous systems.

Self Paced
Self-Paced
Identifying Patient Populations (Coursera) Coursera
University of Colorado System

Identifying Patient Populations (Coursera)

Explore the world of computational phenotyping with our comprehensive online course 'Identifying Patient Populations'. Gain a deep understanding of how to effectively use biomedical informatics to identify specific patient groups based on various clinical data types. Learn essential programming skills that enable you to manipulate and combine different datasets for improved algorithm performance.

Nov 9th 2026
5-12 Weeks
Web of Data (Coursera) Coursera
EIT Digital

Web of Data (Coursera)

Explore the fundamentals of the Semantic Web and Linked Data in this online course offered by Coursera. Gain expertise in publishing, obtaining, and utilizing structured data directly from the Web. This course is designed for those looking to leverage the vast amount of information available on the Internet through innovative applications, products, and services.

Nov 9th 2026
4 Weeks
Synthetic Aperture Radar: Hazards (edX) EdX
University of Alaska Fairbanks,AlaskaX

Synthetic Aperture Radar: Hazards (edX)

Dive into the world of Synthetic Aperture Radar (SAR) with our specialized online course designed to equip you with the skills needed to monitor and assess natural disasters. This course explores how SAR technology can illuminate areas obscured by weather or darkness, offering invaluable insights into earthquake zones, volcanic activity, and flooding regions.

Self Paced
Self-Paced
Basic Recommender Systems (Coursera) Coursera
EIT Digital

Basic Recommender Systems (Coursera)

Dive into the world of recommender systems with our foundational course. Explore both collaborative filtering and content-based approaches, understand essential algorithms, and learn how to effectively use and evaluate these powerful tools in providing personalized recommendations. This course will equip you with a deep understanding of the benefits and limitations of different methods.

Nov 9th 2026
4 Weeks