Introduction to Data Analytics
Ready to start a career in Data Analysis but don’t know where to begin?
Introduction to Data Analytics is a beginner-level online course from Coursera in Data Analytics. It is structured in 5 modules with 4 stated learning outcomes, over 11h 38m. Learners rate it 4.7/5 from 20.9K 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 | 11h 38m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.7★ (20.9K reviews) |
| Price | Check price |
About this course
This course introduces the fundamentals of data analytics through a structured process. You will learn to explain what data analytics is and the key steps in the data analytics process. The syllabus differentiates between data roles such as data engineer, data analyst, data scientist, business analyst, and business intelligence analyst. It also describes different types of data structures, file formats, and sources of data. The mining and visualizing data module covers collecting, wrangling, mining, and visualizing data, finishing with how to communicate results.
Offered by IBM on the Coursera platform, the course is designed for beginners with no prior experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox. The course is self-paced and can be completed in approximately 11 hours and 38 minutes. Upon completion, a certificate is available, and the subtitle notes it is ready to start a career in data analysis.
The module list includes data storytelling, statistical visualization, Apache Hive, interactive data visualization, data presentation, Apache Spark, data cleansing, data mart, data warehousing, and data science. These skills prepare you to work with data in structured environments. The course is free to audit, but the certificate experience requires a separate purchase as stated in the provider FAQ.
Honest limits: the course does not cover advanced programming or machine learning models in depth. Learners seeking those topics may prefer the Udemy alternatives listed, such as the complete SQL masterclass or the Python for finance fundamentals course, which offer deeper technical training at a range of price points.
What you’ll learn
Level and time commitment
- All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox.
Skills you’ll gain
What this course covers
5 modulesThe 5-part outline Coursera publishes for this course, across 11h 38m.
Module 1 · What is Data Analytics
Module 2 · The Data Ecosystem
Module 3 · Gathering and Wrangling Data
Module 4 · Mining & Visualizing Data and Communicating Results
Module 5 · Career Opportunities and Data Analysis in Action
What learners rate it
Rated 4.7/5 by 20.9K 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.
How we compare and rank courses · Our review policy · Affiliate disclosure
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 | |
|---|---|---|---|---|---|---|
| Introduction to Data Analytics This |
 Coursera
|
4.7★ | Check price | 11h 38m | Beginner-friendly · 11h 38m | |
| 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 Introduction to Data Analytics 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 Introduction to Data Analytics 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 Introduction to Data Analytics take?
Coursera lists it at 11h 38m. 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 Introduction to Data Analytics suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Introduction to Data Analytics cover?
It is organised into 5 modules, starting with What is Data Analytics and going on to The Data Ecosystem, Gathering and Wrangling Data, Mining & Visualizing Data and Communicating Results, Career Opportunities and Data Analysis in Action. The full outline is on this page.