Course Category: Data Science (Python)

This course covers the basic concepts of community detection and how it relates to network analysis. The students will be able to implement and compar…

This is an intermediate network analytics course. By the end of this course, students will be able to quantitatively measure and visualize network nod…

This course introduces the concepts of networks, network graphs and network types. By the end of this course, students will be able to understand and …

This course provides an overview of how recommender systems work and teaches students how to build effective models. By the end of this course, studen…

This course covers a supervised regression technique called Non Linear regression which is used to model a relationship between a certain number of fe…

Multiple linear regression is a supervised learning technique that allows analysts to model the relationship between a certain number of labeled featu…

Regression is a machine learning technique that can be used to model and predict the relationship between variables, features and a continuous numeric…

Learn how to apply seasonal analysis and ARIMA models and how to decompose and identify seasonal and non- seasonal factors all while learning the n…

Learn how to apply time series basics and concepts to create accurate forecasts for their organizations and make better decisions when developing stra…

Detecting outlier data points are powerful machine learning techniques. This covers the concepts and models used in Time Series Analysis, and how thes…