This course covers essential topics required for working with data structures and algorithms using JavaScript. From basics of data structures and algorithms to key concepts, such as arrays, lists, Big O time-space asymptomatic analysis, trees, and maps, this course will teach you everything with the help of engaging examples and activities.
This course is for networking enthusiasts who want to get ahead in their networking career by passing the new 200-301 Cisco Certified Network Associate (CCNA) exam. The course covers all the topics required for the certification, such as network fundamentals, network access, IP connectivity, IP services, and security fundamentals.
Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL
This course provides complete coverage of C# programming fundamentals and how to create an executable windows form project. You will be digging into the structures of Windows Forms to gain a detailed understanding and then sharpen your skills with the help of a variety of projects.
This course takes you from a beginner to an expert level in Ansible and also prepares you for the Red Hat Certification exam. You'll become well-versed with Ubuntu, CentOS, and a little aware of Raspberry PI to manage Linux's multiple distributions using Ansible.
The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.
Get well-versed with JavaScript by working through 3 real-world projects and 80 programming challenges, along with exploring ES6 and ES7
Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.
This course is your guide to deep learning in Python with Keras. You will discover the Keras Python library for deep learning and learn how to use it to develop and evaluate deep learning models.
In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.