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Applying Data Analytics in Finance

Course Cover

5

(8)

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Course Features

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Duration

23 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

23 hours

Course Description

This course provides an introduction to financial analytics. This course will teach you how to use financial analytics in real-world situations. This course will teach you how to analyze time series data, and how to assess the risk-reward tradeoff outlined in modern portfolio theory. Although the main focus of this course will be on corporate stocks' prices, returns and risk, you can also use the analytical techniques to leverage other domains. The course concludes with a brief introduction to algorithmic trading.

You will be able to analyze time series data and create forecasts. Then you can determine the accuracy of your estimates. You will also be able create a portfolio using actual stock price data, optimizing risk and reward. As an analyst, manager or consultant, understanding financial data is a crucial skill.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Understand the forecasting process

Describe time series data

Develop an ARIMA Model

Understand a basic trading algorithm

Course Instructors

Sung Won Kim

Associate Professor

Assistant Professor of Business Administration, University of Illinois, 2013 to present

Jose Luis Rodriguez

Director of Margolis Market Information Lab

Jose Luis Rodriguez currently serves as the Vice President of Business Intelligence at Midwest BankCentre in St. Louis, MO. Midwest BankCentre is a premier community bank which has operated since 190...

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