Our Courses

Gender Analytics: Gender Equity through Inclusive Design

Gender Analytics: Gender Equity through Inclusive Design

Current conversations about diversity & inclusion often forget that these are not just HR issues but affect how products, services, processes & policies create outcomes that differ by gender, race, differences in ability, Indigeneity & other intersecting identities. Gender Analytics is a methodology that allows you to create opportunities for business or policy impact by using gender-based insights to design transformational solutions.

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  • English
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Inclusive Analytic Techniques

Inclusive Analytic Techniques

Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Everything from snow plowing to car safety to investment advising to infrastructure investment has impacts that differ by gender. These outcomes can be even more biased if we look at important intersections with race, indigeneity, differences in ability, ethnicity, sexual orientation, and other identities. The question is, what can you do to change this?

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  • 8 hours
  • English
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Applying Data Analytics in Finance

Applying Data Analytics in Finance

This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leverages in other domains.

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  • 24 hours
  • English
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Foundations of Sports Analytics: Data, Representation, and Models in Sports

Foundations of Sports Analytics: Data, Representation, and Models in Sports

This course provides an introduction to using Python to analyze team performance in sports. Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. The main focus of the introduction will be on the use of regression analysis to analyze team and player performance data, using examples drawn from the National Football League (NFL), the National Basketball Association (NBA), the National Hockey League (NHL), the English Premier LEague (EPL, soccer) and the Indian Premier League (IPL, cricket).

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  • 49 hours
  • English
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Operations Management: Quality and Supply Chain

Operations Management: Quality and Supply Chain

In this course you will focus on process improvement.

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  • 16 hours
  • English
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Operations Management: Organization and Analysis

Operations Management: Organization and Analysis

In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently.

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  • 14 hours
  • English
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  • Starter @ AED 99 + VAT
  • Professional @ AED 149 + VAT
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  • AED 274.99 + VAT
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