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 an intermediate-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 38 other courses. See all Data Analytics courses on Coursera.
Course highlights
| Provider | Coursera |
| Duration | 23h 27m |
| Level | Intermediate |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.4★ (223 reviews) |
| Price | Check price |
About this course
Applying Data Analytics in Finance is a beginner-level course on Coursera that runs for 23 hours and 27 minutes of self-paced study. It introduces the basics of financial analytics and is offered by the University of Illinois Urbana-Champaign.
You will learn the forecasting process and how to describe time series data. The course teaches you to develop an ARIMA model and understand a basic trading algorithm. These tools help turn raw market data into decisions you can act on.
By the end you can describe performance measures, build a basic trading algorithm, and run a time series forecast. The course does not cover portfolio optimisation at this level or advanced machine‑learning models; for that the Microsoft Power BI for Data Analysis (Free Course) on Udemy provides a free alternative that also covers visual dashboards.
English is the only language offered. A certificate is available for those who complete the graded work. The course is self‑paced so you can spread the 23 hours 27 minutes across weeks that suit you.
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 7 Nov 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 7 November 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 | For learners past the basics · 23h 27m | |
| AWS Cloud Practitioner Essentials |
Coursera
|
4.8★ | Check price | 35h 48m | Beginner-friendly · 35h 48m | View ↗ |
| Data Analyst Online Course | Data Analytics | Udacity | Udacity | 4.8★ | Check price | 2 months | For learners past the basics · 2 months | View ↗ |
| Apache Kafka Series - Kafka Streams for Data Processing |
 Udemy
|
4.8★ | ₹469 | 5 hours | Highest rated (4.8★ from 6.8K reviews) | View ↗ |
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?
Coursera lists it at Intermediate level, so it assumes some grounding in the subject already. If you are starting from zero, a beginner-level course in the same topic is the better entry point.
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.