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Applying Data Analytics in Finance

University of Illinois at Urbana-Champaign

About this Course

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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. Finally, a short introduction to algorithmic trading concludes the course.
After completing this course, you should be able to understand time series data, create forecasts, and determine the efficacy of the estimates. Also, you will be able to create a portfolio of assets using actual stock price data while optimizing risk and reward. Understanding financial data is an important skill as an analyst, manager, or consultant.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 24 hours to complete

English

What you will learn

Understand the forecasting process
Describe time series data
Develop an ARIMA Model
Understand a basic trading algorithm

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 24 hours to complete

English

Instructors

Instructor rating

4.6/5 (47 Ratings)

Sung Won Kim

Associate Professor

Business Administration

19,155 Learners

1 Course

Jose Luis Rodriguez

Director of Margolis Market Information Lab

Department of Finance - Gies College of Business

19,560 Learners

2 Courses

Offered by

University of Illinois at Urbana-Champaign

Start working towards your degree

This Course is part of an online degree program offered by the University of Illinois at Urbana-Champaign. When you apply for a for-credit non-degree course through the university and complete it online, it counts as credit hours towards a degree at Illinois. All you have to do is apply through the university.

Master of Business Administration (iMBA)

University of Illinois at Urbana-Champaign

Apply for credit

Syllabus - What you will learn from this course

Content Rating93%(1,026 ratings)

Week

Week 1

2 hours to complete

Course Introduction

In this course, we will introduce a number of financial analytic techniques. You will learn why, when, and how to apply financial analytics in real-world situations. We 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 risks of corporate stocks, the analytical techniques can be leveraged in other domains. Finally, a short introduction to algorithmic trading concludes the course.

2 hours to complete

4 videos (Total 12 min), 5 readings, 1 quiz

5 hours to complete

Module 1: Introduction to Financial Analytics and Time Series Data

In this module, we will introduce an overview of financial analytics. Students will learn why, when, and how to apply financial analytics in real-world situations. We 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 our focus will be on the prices, returns, and risks of corporate stocks, the analytical techniques can be leveraged in other domains. Finally, a short introduction to algorithmic trading concludes the course.

5 hours to complete

7 videos (Total 45 min), 2 readings, 5 quizzes

7 videos

Module 1 Overview ***54s

Jose Rodriguez: Forecasting in Practice2m

Lesson 1-1.1 Subjective Forecasting6m

Lesson 1-1.2 Business Forecasting and Time Series Data7m

Lesson 1-2.1 Introduction to Financial Analytics10m

Lesson 1-3.1 Forecasting Performance Measurements: Distance6m

Lesson 1-3.2 Forecasting Performance Measurements: Metrics10m

2 readings

Module 1 Overview20m

Module 1 Readings1h 30m

5 practice exercises

Lesson 1-1 Practice Quiz10m

Lesson 1-2 Practice Quiz10m

Lesson 1-3 Practice Quiz10m

Module 1 Quiz30m

Module 1 Lab Exercise Quiz30m

Week

Week 2

5 hours to complete

Module 2: Performance Measures and Holt-Winters Model

5 hours to complete

15 videos (Total 87 min), 2 readings, 7 quizzes

15 videos

Module 2 Overview ***37s

Jose Rodriguez: Forecasting Models in Practice2m

Lesson 2-1.1 Introduction to Forecasting: Average Method6m

Lesson 2-1.2 Introduction to Forecasting: Naive Method3m

Lesson 2-1.3 Introduction to Forecasting: Linear Regression ***13m

Lesson 2-1.4 Introduction to Forecasting: R Example4m

Lesson 2-2.1 Moving Averages7m

Lesson 2-3.1 Introduction to Exponential Smoothing5m

Lesson 2-3.2 Simple Exponential Smoothing8m

Lesson 2-3.3 Simple Exponential Smoothing: R Example5m

Lesson 2-4.1 Holt's Exponential Smoothing7m

Lesson 2-4.2 Holt-Winter's Forecasting Model4m

Lesson 2-4.3 Holt-Winter's Model: R Example7m

Lesson 2-5.1 Autoregression6m

Lesson 2-5.2 Autoregression: R Example2m

2 readings

Module 2 Overview20m

Module 2 Readings7m

7 practice exercises

Lesson 2-1 Practice Quiz10m

Lesson 2-2 Practice Quiz10m

Lesson 2-3 Practice Quiz30m

Lesson 2-4 Practice Quiz30m

Lesson 2-5 Practice Quiz10m

Module 2 Quiz30m

Module 2 Lab Exercise Quiz30m

Week

Week 3

5 hours to complete

Module 3: Stationarity and ARIMA Model

5 hours to complete

11 videos (Total 55 min), 2 readings, 4 quizzes

11 videos

Module 3 Overview ***43s

Jose Rodriguez: ARIMA in Practice2m

Lesson 3-1.1 Stationarity: Introduction5m

Lesson 3-1.2 Stationarity: Differencing11m

Lesson 3-2.1 ARIMA: Introduction6m

Lesson 3-2.2 ARIMA: Components7m

Lesson 3-2.3 ARIMA: Model and R Example Part 17m

Lesson 3-2.4 ARIMA: Model and R Example Part 24m

Lesson 3-2.5 ARIMA: Model and R Example Part 31m

Lesson 3-2.6 ARIMA: Model and R Example Part 43m

Lesson 3-2.7 ARIMA: Model and R Example Part 54m

2 readings

Module 3 Overview20m

Module 3 Readings30m

4 practice exercises

Lesson 3-1 Practice Quiz30m

Lesson 3-2 Practice Quiz30m

Module 3 Quiz30m

Module 3 Lab Exercise Quiz30m

Week

Week 4

7 hours to complete

Module 4: Modern Portfolio Theory and Intro to Algorithmic Trading

7 hours to complete

16 videos (Total 81 min), 4 readings, 4 quizzes

16 videos

Module 4 Overview ***49s

Jose Rodriguez: Portfolios in Practice4m

Lesson 4-1.1 Portfolio Theory: Introduction3m

Lesson 4-1.2 Portfolio Theory: Expected Returns4m

Lesson 4-1.3 Portfolio Theory: Risk of a Security6m

Lesson 4-1.4 Portfolio Theory: Efficient Frontier6m

Lesson 4-1.5 Portfolio Theory: Portfolio Weights7m

Lesson 4-1.6 Portfolio Theory: Capital Allocation Line10m

Lesson 4-1.7 Portfolio Theory: Diversification3m

Lesson 4-2.1 Introduction to Algorithmic Trading7m

Lesson 4-2.2 Introduction to Algorithmic Trading: Trend Following Strategy3m

Lesson 4-2.3 Introduction to Algorithmic Trading: Backtesting6m

Lesson 4-2.4 Introduction to Algorithmic Trading: R Example9m

Lesson 4-2.5 Introduction to Algorithmic Trading: Conclusion1m

Course Summary: Applying Data Analytics in Finance1m

Gies Online Programs3m

4 readings

Module 4 Overview20m

Module 4 Readings1h

Congratulations!10m

Get Your Course Certificate10m

4 practice exercises

Lesson 4-1 Practice Quiz30m

Lesson 4-2 Practice Quiz30m

Module 4 Quiz1h

Module 4 Lab Exercise Quiz30m

Reviews

4.5

37 reviews

5 stars
65.97%
4 stars
24.74%
3 stars
3.09%
2 stars
3.09%
1 star
3.09%

TOP REVIEWS FROM APPLYING DATA ANALYTICS IN FINANCE

by VGMay 2, 2020

Covers basics of time series modeling techniques and applications in R. Doesn't go deep into statistics behind models

by ATAug 12, 2020

A very brief and informing course. Learnt a lot in a short period of time

by SDSep 7, 2019

Great Course and excellent explanation by professor

by RMay 31, 2020

Basics of R and other sub-topics need to be introduced before the topic is taken up in a video.

Despite several ID verifications, I have not received the Course certificate till date.

View all reviews

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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Applying Data Analytics in Finance

Applying Data Analytics in Finance

About this Course

What you will learn