In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.
This course is designed to introduce students to skills similar to what pentesters and hackers use in real-life situations. In addition, this course will provide a greater understanding of how vulnerabilities are discovered and exploited. This course will guide you on how to use pentesting tools in the real world.
This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.
The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R