5684 Software courses in Glasgow delivered Online

What Will I Learn? Choose a perfect automated trading strategy Build a portfolio consisting of trading algorithms Learn what criteria a trading algorithm should match Learn when to exclude a strategy from portfolio Learn advantages of using trading algorithms Learn where to find automated trading strategies Understand why it's better to trust an algorithm than a human Learn what markets to trade using trading algorithms Requirements No programming skills required Just an open mind Basic Excel Description Updated in June'16! Learn how to make 95% of profit in just 14 months! Learn how to choose automated trading strategies and force them to earn money for you! In this course, I will show you several platforms where you can find a variety of trading robots. But, more importantly, I will give you a list of criteria to choose perfect strategies and teach you how to select them in practice. I will explain what to take into account when you have to choose between two similar strategies. You will also get a basic knowledge of trading algorithms, their advantages as compared to manual trading, which markets it's better to trade using automated trading strategies. I believe by the end of this course you will be able to build your own portfolio and make profits. Take this course now and learn from my 12+ years of experience. This course is for beginners as well as for advanced traders and algorithm developers! All you need is just your aspiration to learn! With this course you also get: unlimited lifetime access at no extra costs all future additional lectures, live trading examples never any questions asked full 30-day money-back-in-full guarantee Do not hesitate to ask me any questions concerning this course or trading financial markets! Viktor Who is the target audience? Anyone interested in trading Financial Markets Professional traders and algorithm developers Anyone who wants to create a passive income on Financial Markets, but has no time to spare how to trade Forex, stocks, options and especially futures traders Those, who want to trade algorithms, but don't know where to start And finally, anyone who has bad experience in trading Introduction What this course is about FREE 00:02:00 What do you need to start this course FREE 00:02:00 Live Results 00:03:00 Performance Update (November'15) 00:04:00 Performance Update (January'16) 00:05:00 Performance update (June'16) 00:06:00 Performance Update (October'16) 00:06:00 What instruments do you prefer to invest? What are Financial Markets? 00:06:00 What is algorithmic trading? 00:03:00 Risks from using trading algorithms 00:05:00 What markets to trade (Futures against Forex) 00:06:00 The external side of the robot What criteria to use to choose a strategy 00:09:00 How to create a portfolio 00:02:00 How to exclude a strategy from portfolio 00:03:00 Where to invest 00:05:00 iSystems in details 00:09:00 Learn from experience What strategies to use. Creating a portfolio (part 1) 00:08:00 What strategies to use. Creating a portfolio (part 2) 00:07:00

Remote training session for FreeAgent Accounting and Payroll software.

Remote training session for QuickBooks Accounting and Payroll software.

Remote training session for Sage Accounting and Payroll software.

Remote training session for Xero Accounting and Payroll software.

This complete course is designed for beginners who have never built a WordPress website (or any website for that matter). You will learn how to use WordPress to build your website and best of all, WordPress is free, and you do not need to write any code to achieve this.

This course is your one stop destination for everything you need to know about Agile Project Management. The course covers core concepts of Agile Scrum, Product ownership, Business analysis, Project delivery, Using User stories and Agile Kanban Productivity and Efficiency. All examples and facts are based on real industry experience and research.

Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Overview This comprehensive course on Computer Science: Graph Theory Algorithms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science: Graph Theory Algorithms comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Computer Science: Graph Theory Algorithms. It is available to all students, of all academic backgrounds. Requirements Our Computer Science: Graph Theory Algorithms is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 17 sections • 44 lectures • 08:37:00 total length •Promo: 00:03:00 •Introduction: 00:14:00 •Common Problem: 00:10:00 •Depth First Search: 00:11:00 •Breadth First Search: 00:08:00 •Breadth First Search Shortest Path on a Grid: 00:17:00 •Storage and Representation of Trees: 00:10:00 •Beginner Tree Algorithms: 00:10:00 •Rooting Tree: 00:05:00 •Center(s) of a Tree: 00:06:00 •Isomorphisms in Trees: 00:11:00 •Isomorphisms in Trees Source Code: 00:10:00 •Lowest Common Ancestor: 00:17:00 •Topological Sort: 00:14:00 •Shortest and Longest Paths on DAGs: 00:10:00 •Khan's Algorithm: 00:13:00 •Dijkstra's Shortest Path Algorithm: 00:25:00 •Dijkstra's Shortest Path Algorithm Source Code: 00:09:00 •Bellman-Ford Algorithm: 00:15:00 •Floyd-Warshall Algorithm: 00:16:00 •Floyd-Warshall Algorithm Source Code: 00:09:00 •Algorithm to Find Bridges and Articulation Points: 00:20:00 •Algorithm to Find Bridges and Articulation Points Source Code: 00:09:00 •Tarjan's Algorithm for Finding Strongly Connected Components: 00:17:00 •Tarjan's Algorithm for Finding Strongly Connected Components Source Code: 00:07:00 •Travelling Salesman Problem (TSP) with Dynamic Programming: 00:21:00 •Travelling Salesman Problem (TSP) with Dynamic Programming Source Code: 00:14:00 •Existence of Eulerian Paths and Circuit: 00:10:00 •Finding Eulerian Paths and Circuits: 00:16:00 •Eulerian Paths Source Code: 00:08:00 •Prim's Minimum Spanning Tree Algorithm (Lazy Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm ( Eager Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm Source Code ( Eager Version): 00:09:00 •Max Flow Ford-Fulkerson Method: 00:13:00 •Max Flow Ford-Fulkerson Method Source Code: 00:17:00 •Network Flow: Unweighted Bipartite Graph Matching: 00:11:00 •Network Flow: Mice and Owls: 00:08:00 •Network Flow: Elementary Math: 00:11:00 •Network Flow: Edmond-Karp Algorithm: 00:06:00 •Network Flow: Edmond-Karp Algorithm Source Code: 00:10:00 •Network Flow: Capacity Scaling: 00:10:00 •Network Flow: Capacity Scaling Source Code: 00:06:00 •Network Flow: Dinic's Algorithm: 00:12:00 •Network Flow: Dinic's Algorithm Source Code: 00:09:00