Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...

Key Takeaways Discover free, high-quality R programming tutorials on YouTubeLearn from beginner to advanced levels with ...

These programs help you develop essential skills in data analysis, machine learning, programming and statistical modeling, making you more competitive in the job market. Consider your learning ...

Here, you'll learn about the basic technologies required to develop Big Data analytics solutions and deploy them at scale. You'll spend some time with the concept of virtualization and you'll have an ...

Topics include exploratory data analysis, classical statistical tests, sample size and power considerations, correlation, regression,and design experiments using advanced programming techniques.

Sam Engleberg (’18SPS) shares how the M.S. in Applied Analytics program helped shape his path in machine learning, product leadership, and creating positive customer outcomes.

That's it. Can you imagine the programming that would be necessary to do that kind of data analysis? All I did was ask a simple question. This is huge. Also: How ChatGPT scanned 170k lines of code ...

Coming Soon: Learn how to improve business outcomes by leveraging analytics to make evidence-based decisions. This program equips executives with a multidisciplinary approach to demystify data ...

interdisciplinary program that provides students with rigorous training in machine learning, AI tools, data analytics, big data and statistical modeling. Faculty from Applied Mathematics, Computer ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial intelligence to ...