Applying Data Analytics in Finance
Offered by University of Illinois Urbana-Champaign. This course introduces an overview of financial analytics.
Applying Data Analytics in Finance is a beginner-level online course from Coursera in Data Analytics. It is structured in 4 modules with 4 stated learning outcomes, over 23h 27m. Learners rate it 4.4/5 from 223 ratings on Coursera.
Part of our Data Analytics courses collection, where we compare it against 31 other courses.
Course highlights
| Provider | Coursera |
| Duration | 23h 27m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.4★ (223 reviews) |
| Price | Check price |
About this course
Data analytics in finance helps professionals make informed decisions by examining financial data. It involves identifying trends, forecasting market movements, and understanding investment performance. Learning data analytics skills is crucial for roles in financial analysis, investment management, and risk assessment.
The course, Applying Data Analytics in Finance, offered by the University of Illinois Urbana-Champaign through Coursera, provides an overview of financial analytics. This beginner-level course takes 23h 27m to complete and is self-paced. It introduces learners to the forecasting process and how to work with time series data. The curriculum covers key topics such as performance measures, the Holt-Winters model, and the ARIMA model. You also explore modern portfolio theory and get an introduction to algorithmic trading.
Upon completing this course, you will understand the forecasting process and describe time series data. You can develop an ARIMA Model and understand a basic trading algorithm. The course helps you build skills in Performance Metric, Portfolio Management, and Investment Management. You also gain familiarity with R (Software) for financial analysis, along with understanding Market Data and Trend Analysis. These skills prepare you to analyze financial markets more effectively.
This course focuses specifically on financial applications of data analytics. It serves as an introduction and covers foundational concepts rather than advanced programming or complex statistical methods. If you seek a broader understanding of data analytics without a specific finance focus, consider an option like Introduction to Data Analytics. This alternative course is also beginner-level and takes 11h 38m. For those interested in cloud computing aspects of data, the AWS Cloud Practitioner Essentials course offers 35h 48m of content on cloud services.
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
4 modulesThe 4-part outline Coursera publishes for this course, across 23h 27m.
Module 1 · Course Orientation and Introduction to Financial Analytics and Time Series Data
Module 2 · Module 2: Performance Measures and Holt-Winters Model
Module 3 · Module 3: Stationarity and ARIMA Model
Module 4 · Module 4: Modern Portfolio Theory and Intro to Algorithmic Trading
What learners rate it
Rated 4.4/5 by 223 learners on Coursera (checked 10 Aug 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 10 August 2026.
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Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Applying Data Analytics in Finance This |
 Coursera
|
4.4★ | Check price | 23h 27m | Most popular — 0 learners |
| Introduction to Data Analytics |
Coursera
|
4.8★ | Check price | 11h 38m | Highest rated (4.8★ from 20.8K reviews) |
| AWS Cloud Practitioner Essentials |
Coursera
|
4.8★ | Check price | 35h 48m | Beginner-friendly · 35h 48m |
| Data Analyst Online Course | Data Analytics | Udacity | Udacity | 4.8★ | Check price | 2 months | Beginner-friendly · 2 months |
Where Data Analytics leads
Roles we map to Data Analytics on CoursesGlobal. This is our own mapping of subject to job, not a placement claim by Coursera.
Browse every course we track for one of these — courses for data analysts.
Common questions
How much does Applying Data Analytics in Finance cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does Applying Data Analytics in Finance come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Applying Data Analytics in Finance take?
Coursera lists it at 23h 27m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Applying Data Analytics in Finance suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Applying Data Analytics in Finance cover?
It is organised into 4 modules, starting with Course Orientation and Introduction to Financial Analytics and Time Series Data and going on to Module 2: Performance Measures and Holt-Winters Model, Module 3: Stationarity and ARIMA Model, Module 4: Modern Portfolio Theory and Intro to Algorithmic Trading. The full outline is on this page.