2210 Languages courses

By the end of the course, you will learn to write your very own Linux shell scripts using the concepts in order to avoid repetitive work and save time.

C++ Certification Level 1 As a solid and principal programming language, C++ code can be utilized to program a few applications, games and programming. Fresher forms of C++ have been gotten free from before issues, and it is viewed as an exceptionally convenient programming language. In case you're keen on building up your own applications, it's a huge benefit to be comfortable with C++. Many first class applications and games on the planet utilize its highlights. Utilizing the immense library of code, you can construct an application or game model right without any preparation. What's Covered in the Course? This video seminar on C++ will cover the accompanying points: Instructions to run the content manager, preceding running your C++ code, and why it's significant; The best program to use for learning and running C++ code; The most effective method to make 'cout' explanations and titles for your code; The most effective method to decipher mistake messages, and how to evade regular blunders in linguistic structure, and so on; Step by step instructions to call codes consistently, and how to show separate bits of code with the right punctuation; Step by step instructions to compose whole number and different sorts of factors and use space for improved clarity of code; A prologue to passing factors to work codes and use if, else articulations and administrators in your code. This video course offers the accompanying advantages The advantages of learning this course include: As C++ is quick and amazing, just as productive, you will be in an enabled position to begin understanding the basics of C++ coding; Subsequent to doing the novice's course, you can think about learning the transitional or progressed courses for upgraded usefulness in C++; You will better see how to resolve issues with your applications; Learning C++ will help you discover approaches to improve your application and add highlights and functionalities; You will appreciate substantially more power over how you utilize your PC assets economically and productively.

Learning about Servlets and JSP lays a great foundation for learning all modern-day frameworks. In this course, we will start by talking about some network components and understand the basics of networking with simple real-world examples. And then, we will jump into some good examples of network programming.

In this self-paced course, you will learn how to use TensorFlow 2 to build deep neural networks. You will learn the basics of machine learning, classification, and regression. We will also discuss the connection between artificial and biological neural networks and how that inspires our thinking in deep learning.

Discover the fascinating world of decentralized trading with Python and DYDX. Build a sophisticated trading bot, harness statistical arbitrage techniques, and automate your trading strategies on the AWS cloud. Gain the skills to navigate the cryptocurrency market and achieve consistent profitability in this comprehensive and hands-on course.

This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

Make your code and programs faster and more efficient by using algorithms

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

English Mastery Mission (Advanced Level)

With this course, you will be a professional Linux administrator and be able to apply for Linux jobs. You will be able to prepare yourself for the EX-200 exam and become a Redhat Certified System Administrator (RHCSA - EX200).