This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...
This course may be taken individually or as part of the Professional Certificate Program In Machine Learning & Artificial Intelligence or the Professional Certificate Program in Biotechnology & Life ...
Data is vital for any type of business. But if you can’t analyze it and draw conclusions, that data isn’t very useful — and, for this purpose, neither are you. In addition to Excel, this $49 5-course ...
You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...
Empirical Bayes methods have been shown to be powerful data-analysis tools in recent years. The empirical Bayes model is much richer than either the classical or the ordinary Bayes model and often ...
The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...
Students enrolled in the Introduction to Data Analytics course at Lee University are gaining hands-on experience with real-world data and industry tools, preparing them for the growing demand in ...
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 ...
"Big data" and the ability to discover patterns and make predictions from large amounts of data is revolutionizing almost every other scientific and technical field. The Data and Predictive Analytics ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results