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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.
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This comprehensive Data Scientist and Cybersecurity Engineer bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Scientist and Cybersecurity Engineer Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:Basic Data Analysis Course 02:Excel Data Analysis Course 03:2021 Python Programming From A-Z: Beginner To Expert Course 04:Python Data Science with Numpy, Pandas and Matplotlib Course 05:2021 Data Science & Machine Learning with R from A-Z Course 06:Mastering SQL Programming Course 07:Research Methods in Business Course 08:Cyber Security Incident Handling and Incident Response Course 09:Microsoft Azure 2017 Course 10:AZ-104: Microsoft Azure Administrator Course 11:Microsoft Azure Cloud Concepts Course 12:Advanced Excel Analytics Course 13:Statistics & Probability for Data Science & Machine Learning Course 14:Quick Data Science Approach from Scratch Course 15:R Programming for Data Science Course 16:Learn Python, JavaScript, and Microsoft SQL for Data science Course 17:Google Data Studio: Data Analytics Course 18:Introduction to Excel Data Tools and Data Management Course 19:Microsoft Access Tables and Queries Course 20:Microsoft Access Databases Forms and Reports Course 21:Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 22:VLOOKUP: Master Excel Formula VLOOKUP in 60 minutes! 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Certification After studying the complete Data Scientist and Cybersecurity Engineer training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Scientist and Cybersecurity Engineer bundle! This bundle is also ideal for professionals looking for career advancement. 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