About this Course

70,292 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 23 hours to complete
English
Subtitles: English

What you will learn

  • Understand the forecasting process

  • Describe time series data

  • Develop an ARIMA Model

  • Understand a basic trading algorithm

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 23 hours to complete
English
Subtitles: English

Offered by

University of Illinois at Urbana-Champaign logo

University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Course Introduction

1 hour to complete
3 videos (Total 11 min), 4 readings, 1 quiz
3 videos
Instructor Bio: Jose Rodriguez ***2m
Interview with Jose Rodriguez6m
4 readings
Syllabus30m
Glossary10m
Resources for R10m
About the Discussion Forums10m
1 practice exercise
Orientation Quiz10m
5 hours to complete

Module 1: Introduction to Financial Analytics and Time Series Data

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

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
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
3

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
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
4

Week 4

6 hours to complete

Module 4: Modern Portfolio Theory and Intro to Algorithmic Trading

6 hours to complete
15 videos (Total 77 min), 2 readings, 4 quizzes
15 videos
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
2 readings
Module 4 Overview20m
Module 4 Readings1h
4 practice exercises
Lesson 4-1 Practice Quiz30m
Lesson 4-2 Practice Quiz30m
Module 4 Quiz1h
Module 4 Lab Exercise Quiz30m

Reviews

TOP REVIEWS FROM APPLYING DATA ANALYTICS IN FINANCE

View all reviews

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.