303 Courses in Leicester delivered On Demand

This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.

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Courses Are Included In this Google Analytics Course - Taking Your Business to the Next Level Career Bundle: Course 01: Google Analytics for Everyone Course 02: Google Data Studio: Data Analytics Course 03: Business Data Analysis Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 05: Big Data Analytics with PySpark Power BI and MongoDB Course 06: Introduction to Data Analytics with Tableau Course 07: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 08: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 09: Quick Data Science Approach from Scratch Course 10: Machine Learning with Python Course Course 11: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 12: Data Science & Machine Learning with Python Course 13: SQL for Data Science, Data Analytics and Data Visualization Course 14: Customer Analytics Training Course 15: Statistical Analysis Course 16: Excel Data Analysis Course 17: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 18: Business Intelligence and Data Mining Diploma Course 19: How To Do Keyword Research For SEO & Ranking On Google Course 20: Digital Marketing for Business Course 21: Digital Marketing Starting an online E-Commerce Store Course 22: Marketing Strategies for Business Course 23: Strategic Planning and Analysis for Marketing Course 24: Ultimate Social Media Marketing course Course 25: Bootstrap - Responsive Web Design With Level 7 in Strategic Learning & Development, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. 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Start your learning journey straightaway with our Google Analytics Course - Taking Your Business to the Next Level Training! Google Analytics Course - Taking Your Business to the Next Level premium bundle consists of 25 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Google Analytics Course - Taking Your Business to the Next Level is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Google Analytics Course - Taking Your Business to the Next Level course. After passing the Google Analytics Course - Taking Your Business to the Next Level exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Certificates CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

If you are someone with a background in Python programming and is interested in presenting your analysis in interactive web-based dashboards, then you are in the right place. This course primarily focuses on Dash, along with other key data science libraries, including Pandas and Plotly. Learn to use Dash and Plotly in Python which can help you to visualize your critical insights and KPIs in web apps that are easily sharable.

Python 3 is one of the most popular programming languages. Companies like Facebook, Microsoft, and Apple all want Python

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

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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Through this course, you will learn to transform yourself from a passive learner who watches to one who sees the process of learning for what it truly is-a mechanism to better oneself. You will build 40 amazing applications to master the concepts of computer science and Python programming.