This comprehensive, hands-on course empowers beginners with essential web development skills. From HTML, CSS, and JavaScript to GitHub and Bootstrap, master the tools of the trade. Learn to build, style, and deploy websites effortlessly. No prior knowledge of programming or web development is needed.
Legionella Responsible Person is suitable for any persons wanting to gain an understanding of Legionella and how to prevent or control the risk of exposure to Legionella bacteria.
Become a browser automation master with Selenium WebDriver, JavaScript, and Node.js
Empower your school with inclusive practices for SEND. This course covers understanding SEND, the Code of Practice, safeguarding, and creating an accessible learning environment, ensuring every child’s needs are met. Ideal for educators and administrators in both domestic and international schools.
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!
Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.
This course will help you become familiar with the process of building web applications in Python. From understanding Python fundamentals, to studying the database structure to building, and deploying applications, you will learn it all with the help of interesting activities
Building a parser is one of the early steps of designing a compiler. And to build a parser, it is important to learn about the different parsing techniques and how they work. In this course, we are going to learn just that.
Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.
Access Introduction generally navigate through Access Database, get data fast, update data records by entering, update data and delete data. Run available report, use available forms, create simple forms and reports via wizards. This style tuition helps to maximise the value that you get from the day.