2981 Code courses

This is a comprehensive course designed to provide a solid foundation in web development principles and practices. This course is intentionally structured to provide a technical understanding of web development concepts without delving into intricate implementation details. Anyone looking to better understand how web applications are built can take this course.

The course is designed to provide complete knowledge of object-oriented programming using C++. We will discuss some core OOP concepts such as classes, objects, functions, encapsulation, and polymorphism. Along with learning how to design implement classes, we will cover the best practices for writing and maintaining code

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Python Certification Level 1 This course will show you the quickest, least demanding and most exhaustive involvement with learning essential Python. For those inspired by PC programming, the Python language is an extraordinary choice especially in view of its broad help libraries. Moreover, the program gives a ton of learning straightforwardness and backing. Python was made in the mid 90s to code with more prominent consistency, however with more effortlessness than Java. Viewed as a 'fun' language, Python can be a fascinating project, especially for the individuals who are innovative, as it offers numerous unique highlights. Programming advancement organizations like to work with the Python language as a result of its flexibility. How about we examine what this course will cover and what the numerous advantages are: In this course, you will learn: Step by step instructions to compose a code in Python Comprehend the Python Shell window and how to utilize it in 'intuitive' mode The different functionalities Step by step instructions to compose a proper program utilizing IDLE The advantage of documentation and why it is crucial to do so when coding The most effective method to utilize the altering stage's rules when composing a program The most effective method to print utilizing each type of information About extra altering highlights, for example, indenting a locale Comprehend the different factors and how the Python language utilizes them More departure capacities (\n, \t) utilized for organizing strings About 'if' articulations or conditionals to decide program stream About Python coherent administrators and how they cooperate with factors to finish and address articulations Around four circles and settled circles and the distinctions in their usefulness About complex information structures and tuples Step by step instructions to utilize python Course Benefits: Python gives you admittance to the huge irregular library Work on composing code by making strings Get time and schedule capacities inside Python and how to apply them See how Python functions with HTML structure and why this is so significant You can use efficiency and speed time It gives outsider modules

The Chef-Certified beginner's guide to developing cookbooks locally and distributing changes with a Chef Server

Is the thrill of solving mathematical conundrums your thing? Are you adept at distinguishing between polar coordinates and hyperbolic functions, or vectors and matrices? If so, our Edexcel accredited Further Mathematics A-Level online course beckons you. With unwavering support from your personal tutor, you'll develop the ability to construct and present mathematical arguments via diagrams, graphs, and symbols. Moreover, you'll refine your understanding of modelling assumptions, conquer quadratic equations with real coefficients, and broaden your mathematical horizons. Course Benefits: Get access to a new course aligned with the latest specifications, enriched with interactive and engaging content Avail of the Fast track option for exams in 2022 Access to partnership exam centres, ensuring a guaranteed exam venue Unlimited tutor support to help craft a study plan and assist throughout your learning journey Exam pass guarantee (we've got your back for the next exam if you don’t pass the first time). Awarding Body: The Edexcel, our awarding body, is the UK's largest awarding organisation that has been helping individuals achieve academic and vocational qualifications in schools, colleges, and workplaces in the UK and beyond for nearly two decades. Course code: X922 Qualification code: 9FMO Official Qualification Title: Further Maths A-Level ⏱ Study Hours: Allocate between 300 and 360 hours of study time, plus additional time for completing assignments. 👩‍🏫 Study Method: Experience a dynamic and engaging learning process via our online learning platform. If needed, the learning resources, which include videos, quizzes, and interactive activities, can be printed for offline study. 📆 Course Duration: The course will span up to 24 months from the date of enrolment. All your learning materials will be accessible on our MyOxbridge portal. 📋 Assessment: Enrolments are now open for Summer 2022 examinations. The course necessitates the completion of four standard A-level exams and various assignments. While the assignments don't contribute to the final grade, they allow you to get tutor feedback and help in monitoring your progress. We also provide a guaranteed exam space in our nationwide exam centres. 👩‍🎓 Course Outcomes: Successful completion earns you an A-Level in Further Mathematics, issued by Edexcel. This certificate holds the same value as that issued to students in any other educational institution. ℹ️ Additional Information: Official Qualification Title - Further Maths A-Level Level - Advanced (Level 3) Course Content: Our course curriculum includes but is not limited to Core Mathematics 1 & 2, Further Pure Mathematics 1 & 2, Statistics 1 & 2, Mechanics 1 & 2, and Decision 1 & 2. These units cover a wide array of topics, including proof, complex numbers, matrices, algebra and functions, calculus, vectors, polar co-ordinates, hyperbolic functions, differential equations, groups, number theory, sequences and series, discrete probability distributions, hypothesis testing, central limit theorem, chi squared testing, linear regression, continuous probability distributions, correlation, combination of random variables, confidence intervals, moments and impulse, work, energy, and power, elastic springs and strings, elastic collisions, motion in a circle, centre of mass, further dynamics, further kinematics, algorithms, graphs, critical path analysis, linear programming, transportation problems, allocation problems, flows in networks, dynamic programming, game theory, recurrence relationship, and decision analysis.

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Get started with using linear algebra in your data science projects

Get well-versed with JavaScript by working through 3 real-world projects and 80 programming challenges, along with exploring ES6 and ES7