4451 Objective courses in Bradford delivered Online

Qualification Number 603/3857/X Minimum entry age 19 Guided Learning Hours 14 Qualification Objective To provide learners with the skills that they require to manage conflict in a range of situations What are the entry requirements? There are no specific recommended prior learning requirements for this qualification. How is this qualification structured? The qualification is made up of one mandatory unit: • Unit 1 Manage conflict in the workplace How is it assessed? This qualification is assessed via an internally assessed and externally verified portfolio of evidence. Funding for our qualifications This qualification is available fully funded under the Adult Education Budget funding stream and is free to the candidate.

This Emergency aid course will highlight some of the most common situations that you might come across and the actions that you can take to help.

This course covers the basic principles of project management and covers some of the tools and techniques you can employ to improve your project management skills.

This course covers the aims of the disciplinary procedure, penalties including investigations, allegations and suspensions, procedures for carrying out hearings, and appeals.

This Emergency First Aid Refresher course will highlight some of the most common situations that you might come across and the actions that you can take to help.

This course will start by making it very clear exactly what we mean by customer service, and why it’s so vital and then go into detail about some of the ways you can improve the customer service provided by your organisation.

Building COVID-19 statistics tracking applications with SwiftUI with this intermediate-level course. Anyone who wants to learn iOS development and build beautiful iOS applications will benefit from this course. The instructor goes in-depth and covers the advanced concepts, which will give you the confidence to build your own apps in a very effective way.

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

About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Introduction to Quantitative and Computational Finance” provides a basis to step into the world of Quantum Computing for Finance. This introductory course will develop fundamental concepts required for an understanding of quantum algorithms and more advanced topics in computational finance. Through this course, you will learn the basics of derivative products, the Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute the price of exotic options with a computer. This course is designed for all those who wish to develop their skills and start a career in quantitative finance. This course is the first part of the specialised training program: “Quantum Computing for Finance”. What Skills you will learn The fundamentals of derivative products, their types – forwards and options, and their pricing. An understanding of the Black-Scholes-Merton model, hedging and volatility modelling. The computational and modelling techniques for pricing options such as Monte-Carlo simulations and the Finite Difference method. A strong foundation in quantitative and computational skills for modelling and solving complex financial problems using Python programming language. The skills for a career in the finance industry, including quantitative asset management and trading, financial engineering, risk management, and applied research. Course Prerequisites All potential learners should have prior knowledge of the following content areas, either through completion of academic studies or relative professional preparation: Basic calculus (partial derivatives) Probability theory (with an exposure to measure theory if possible) Basic linear algebra (matrix operations) Numerical Python (NumPy essentially) The course contains several Python based programming exercises. We recommend that you install Python on your local system to practice and implement the programs explained throughout the course. For instructions and tutorials for beginners, please click on the following link: Python installation instructions and tutorials for beginners Duration The estimated duration to complete this course is approximately 4 weeks (~3hrs/week). Course assessment To complete the course and earn certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.

Organisational development, Organisational culture, Organisational values, Organisational environment,