Learn how to apply AI in data analysis to uncover insights faster, improve reporting accuracy, and support smarter business outcomes. For example, AI can help analysts identify customer behavior patterns, automate repetitive reporting tasks, detect anomalies in financial records, and improve forecasting speed across large datasets.

AI For Data Analysts

Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Apply AI Across Data Analytics Functions
Use AI tools to support reporting, forecasting, trend analysis, and business intelligence activities
Build No-Code and Low-Code Agents: Use n8n, Zapier, or agent studios to automate workflows, data handling, and business processes.
Develop ML-Powered Agents: Train models and connect APIs using Python and Scikit-Learn to enable intelligent agent actions.
Deploy Ethical, Reliable Agents: Apply governance, testing, and safety measures to ensure ethical and high-performance AI agents.
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in English
Recently updated!
November 2025
See how employees at top companies are mastering in-demand skills

There are 7 modules in this course
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."





