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Coursera

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 4.8/5 from 20.8K ratings on Coursera.

Part of our Data Analytics courses collection, where we compare it against 31 other courses.

★★★★★4.8(20.8K reviews) English

Course highlights

Provider Coursera
Duration 11h 38m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.8★ (20.8K reviews)
Price Check price

About this course

Data analytics involves examining raw data to find trends and draw conclusions. It helps businesses make informed decisions and solve problems. Learning data analytics skills can open doors to many career paths in today's data-driven world.

This Introduction to Data Analytics course, offered by IBM through Coursera, provides a gentle start for beginners. You can enroll for free to access course materials. The course covers the key steps in the data analytics process. You learn about the data ecosystem and different data roles such as Data Engineer, Data Analyst, and Data Scientist. The syllabus includes modules like "What is Data Analytics" and "Gathering and Wrangling Data." The course also teaches how to gather, wrangle, mine, and visualize data.

After completing this course, you can explain the data analytics process. You will differentiate between various data roles and describe different data structures and file formats. The course helps you understand how to collect, clean, and visualize data. You will gain skills in Data Storytelling, Data Visualization, and Data Analysis. The total duration of the course is 11h 38m. This course has a rating of 4.8 from 20777 reviews.

This Introduction to Data Analytics course is designed for beginners. It requires only basic computer literacy and high school level math. It provides an overview and does not go into advanced statistical modeling or specific programming languages in depth. For those looking to apply data analytics in a specific field, consider Applying Data Analytics in Finance. If you need to learn about cloud platforms, AWS Cloud Practitioner Essentials is another beginner option available.

What you’ll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
What the provider says you need first:
  • 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.
Time commitment: 11h 38m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Data StorytellingStatistical VisualizationApache HiveInteractive Data VisualizationData PresentationData VisualizationApache SparkData CleansingData MartData WarehousingData ScienceData Analysis

What this course covers

5 modules

The 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

4.8
★★★★★
20.8K ratings

Rated 4.8/5 by 20.8K 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 →

How this page is put together

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.

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 4.8★ 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
ChatGPT Advanced Data Analysis Coursera 4.8★ Check price 10h 52m Quickest to finish (10h 52m)
See all Data Analytics courses →

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.

Data Analyst

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.