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Alternative Data Sources and Analysis – CR000562

โ‚น800.00



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Subject – Alternative Data and Alpha Generation

Industry – Investment Management Industry

Introduction:

Welcome to the eLearning course on Alternative Data Sources and Analysis, brought to you by T24Global Company. In this course, we will explore the growing significance of alternative data sources in the investment management industry. As technology continues to advance and the availability of data increases, investment professionals are increasingly turning to alternative data to gain a competitive edge in their decision-making process.

The investment management industry has traditionally relied on traditional data sources such as financial statements, economic indicators, and market reports to inform investment decisions. However, with the advent of new technologies and the proliferation of data, there is a wealth of information available beyond these traditional sources. Alternative data refers to non-traditional, often unstructured data sets that can provide unique insights into various aspects of the economy, industries, and companies.

Alternative data can be derived from a wide range of sources, including satellite imagery, social media platforms, web scraping, credit card transactions, and even sensor data from Internet of Things (IoT) devices. These data sets can be used to uncover emerging trends, consumer behavior patterns, supply chain dynamics, and other valuable information that can help investment professionals make more informed decisions.

The use of alternative data in investment management has gained significant traction in recent years. It offers the potential to identify investment opportunities and risks that may not be apparent from traditional data sources alone. By incorporating alternative data into their analysis, investment professionals can gain a deeper understanding of the companies they invest in and the industries they operate in.

However, the use of alternative data also presents challenges. The sheer volume and variety of alternative data available can be overwhelming, making it difficult to identify relevant and reliable sources. Additionally, the unstructured nature of alternative data requires sophisticated analytical techniques to extract meaningful insights.

In this eLearning course, we will explore the various types of alternative data sources available to investment professionals and discuss the challenges and opportunities associated with their use. We will also delve into the different analytical techniques and tools that can be employed to effectively analyze and interpret alternative data.

Whether you are a seasoned investment professional looking to enhance your data analysis skills or a newcomer to the investment management industry seeking to understand the role of alternative data, this course will provide you with the knowledge and insights you need to navigate the evolving landscape of investment decision-making.

Join us on this eLearning journey as we explore the world of alternative data and its impact on the investment management industry. Let’s dive in and discover the untapped potential of alternative data sources together!

NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/alternative-data-sources-and-analysis/ (copy URL)

 

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Lessons Included

 

LS004746 – Alternative Data Sources and Analysis – Challenges & Learnings

LS003700 – Case Studies in Alternative Data and Alpha Generation

LS002654 – Regulatory Compliance in Alternative Data Usage

LS001608 – Machine Learning for Alpha Generation

LS000562 – Alpha Generation Models and Strategies

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