This course introduces a case study, dataset, common machine learning algorithms, and developing a machine learning model with IBM Watson Studio.

Get a taste of regular expressions (regex), a powerful search pattern language to quickly find the text you're looking for.

Learn how to build and host Alexa Skills that respond to users’ vocal commands.

Can't download the data you need? Learn how to pull data right from the page by web scraping with the Python library Beautiful Soup.

R Language can be used for various application and is very widely used. Here we introduce some of the most vital aspects

Learning Data Visualisation using Tableau

This course introduces important resources for data science, including visualization libraries, deep learning frameworks, and cloud-based environments. It also explores BigML and Google Colab—powerful resources for building and sharing analytics.

Learn about linear algebra and how to perform operations with matrices and vectors.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Explore the fundamentals of linear algebra using Python, focusing on its applications in data science and machine learning.

Learn how to fit, interpret, and compare linear regression models in Python.

Edge Computing utilizes real-time processing and data analysis at the edge of the network - nearest the device or user - in order to enable digital transformation and power new technologies.