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Our Courses
Fundamentals of Market Structure
Learn the basics of market structure, including key market participants and what determines a market’s development.
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Course by
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Self Paced
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English
Renewable Energy
This specialization is for learners wanting a thorough understanding of renewable energy concepts, tools, and applications. This knowledge can be employed to advance in your current work, to move into the renewable energy field, and to promote sustainability at home and in your community. New technologies, new market structures, and new business models make renewable energy a dynamic, entrepreneurial, and exciting field. This specialization focuses on pragmatic and fact-based information, including real-world costs and technical performance, market trends, and web-based analysis tools.
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Course by
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Self Paced
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English
Foundations of Strategy
Strategy is a complex field and intrinsically related to economics. In this first week of this course you will learn the basic logic of how firms and markets function by using economic logic from a distinctly strategic perspective. The economic logics discussed in the first week have shaped the field of strategic analysis from very early on.
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Course by
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Self Paced
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9 hours
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English
Machine Learning for Trading
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies.
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Course by
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Self Paced
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English
The Power of Markets II: Market Structure and Firm Behavior
In order to maximize profits, firms must ensure that any given output level is produced at least cost and then select the price-output combination that results in total revenue exceeding total cost by the greatest amount possible. With this in mind, this second module of the Power of Markets course addresses how firms can most effectively convert inputs into final output and then covers determining the best price-output combination for a firm and how this varies depending on whether the firm is operating in a perfectly competitive or imperfectly competitive market setting.
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Course by
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Self Paced
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8 hours
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English
Introduction to Trading, Machine Learning & GCP
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.
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Course by
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Self Paced
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10 hours
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English
Introduction to Social Media Analytics
Social media not only provides marketers with a means of communicating with their customers, but also a way to better understand their customers. Viewing consumers’ social media activity as the “voice of the consumer,” this session exposes learners to the analytic methods that can be used to convert social media data to marketing insights. In Introduction to Social Media Analytics, learners will be exposed to both the benefits and limitations of relying on social media data compared to traditional methods of marketing research.
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Course by
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Self Paced
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9 hours
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English
Using Machine Learning in Trading and Finance
This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.
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Course by
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Self Paced
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19 hours
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English
Electric Industry Operations and Markets
This is a two week course. In the first week you will learn about the core activities that the Industry executes to bring electricity to customers. We will review what electricity is, how it is generated, how it is transmitted, how it comes into buildings, and how consumption of electricity instantly feeds back on the transmission and generation of electricity.
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Course by
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Self Paced
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8 hours
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English
Reinforcement Learning for Trading Strategies
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data.
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Course by
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Self Paced
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12 hours
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English
Firm Level Economics: Markets and Allocations
In markets, prices act as rationing devices, encouraging or discouraging production and consumption to find an equilibrium. In this course, you will learn to construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity.
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Course by
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Self Paced
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19 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 274.99 + VAT
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