Click each topic area to learn more about specific courses. APPM 5720: Open Topics in Applied Mathematics Provides a vehicle for the development and presentation of new topics that may be incorporated ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

Who is the Master's in Data Science for? Drexel’s College of Computing & Informatics' Master of Science in Data Science (MSDS) is designed for students with or without a bachelor’s degree in Data ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

They say knowledge is power, and being able to work with data is a power that will help you in virtually any industry. With The Complete Excel, VBA, and Data Science Certification Training Bundle, you ...

The goal of the UW Data Science Center is to lower the barrier to entry into productive analysis of data. Additionally, we seek to foster the careers of our participants and to build the data science ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...

The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...

Advanced sensor technologies, growth in the amount and availability of sensor data, new computational methods, and greater computational power offer fresh approaches to understand and address the ...