Data science is quickly taking over all aspects of life, and a huge impact of this can be seen in the healthcare department. From medical imaging to genomics, we now leverage data to make better medical decisions. In this course, we will see how clinical trial data can be effectively managed using SAS.
Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL
In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.
Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.
Learning and applying new techniques can often be a daunting experience. This course helps you out with 100+ tips and tricks on Stata with each video designed to be stand-alone and taking no more than 2 minutes. If you want to learn more about Stata but don't have a lot of time, this is the course for you!
This is a unique course loaded with fun unique projects that will amaze you and help you update your skills with AJAX. Explore how to create dynamic and interactive web content with data loaded from an API using modern JavaScript. It is loaded with testing apps to get the most out of AJAX.
This course covers all the essential topics of PHP web development, such as syntaxes, loops, conditional statements, Bootstrap, GitHub, Heroku, XAMPP, and MySQL that every PHP developer needs to know. You will learn all these concepts by building and deploying a data-driven web application into the production.
This course will teach you how to work with object recognition using a predefined dataset and how to create a custom dataset. The course will also teach you to train the You Only Look Once (YOLO) model to build a coronavirus detection model.
This course is a quick starter for anyone looking to delve into optical character recognition, image recognition, object detection, and object recognition using Python without having to deal with all the complexities and mathematics associated with a typical deep learning process.
Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you're looking to pursue a career as a speech recognition professional and understand industry best practices.