Data Analysis with Python
Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts!
Data Analysis with Python is a beginner-level online course from Coursera in Decision Making. It is structured in 6 modules with 4 stated learning outcomes, over 15h 59m. Learners rate it 4.7/5 from 19.8K ratings on Coursera.
Part of our Decision Making courses collection, where we compare it against 2 other courses.
Course highlights
| Provider | Coursera |
| Duration | 15h 59m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.7★ (19.8K reviews) |
| Price | Check price |
About this course
Data Analysis with Python is a beginner-level course offered on Coursera by IBM. It runs for 15 hours and 59 minutes and is taught in English. A certificate is available upon completion. The course is self-paced, allowing learners to study according to their own schedule.
This course introduces Python programming for data analysis. You will learn to construct Python programs that clean and prepare data, addressing missing values, formatting inconsistencies, normalization, and binning. The course covers analyzing real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights. You will also apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines.
A key focus is developing and evaluating regression models using Scikit-learn. These models are used to generate predictions and support data-driven decision-making. By the end of the course, you will be able to build regression models, generate predictions, and apply these findings to real business scenarios.
The course assumes you have a working knowledge of Python and Jupyter Notebooks. It is designed for beginners who want to start using Python for data analysis tasks.
Honest limits: The course does not cover advanced machine learning topics or deep learning. Learners seeking those topics may want to look at the Human Resources Analytics course on Coursera, which is 7 hours and 9 minutes long and also beginner-level. That course may suit those interested in analytics within the HR function.
Free options include auditing this course on Coursera to access the materials without a certificate. The IBM-certified credential is available for those who complete the paid track.
What you’ll learn
Level and time commitment
- You should have a working knowledge of Python and Jupyter Notebooks.
Skills you’ll gain
What this course covers
6 modulesThe 6-part outline Coursera publishes for this course, across 15h 59m.
Module 1 · Importing Data Sets
Module 2 · Data Wrangling
Module 3 · Exploratory Data Analysis
Module 4 · Model Development
Module 5 · Model Evaluation and Refinement
Module 6 · Final Assignment
What learners rate it
Rated 4.7/5 by 19.8K 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 →
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 |
|---|---|---|---|---|---|
| Data Analysis with Python This |
 Coursera
|
4.7★ | Check price | 15h 59m | Highest rated (4.7★ from 19.8K reviews) |
| Human Resources Analytics |
Coursera
|
4.6★ | Check price | 7h 9m | Quickest to finish (7h 9m) |
| Effective Problem-Solving and Decision-Making |
Coursera
|
4.6★ | Check price | 8h 27m | Beginner-friendly · 8h 27m |
Common questions
How much does Data Analysis with Python 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 Data Analysis with Python 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 Data Analysis with Python take?
Coursera lists it at 15h 59m. 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 Data Analysis with Python suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Data Analysis with Python cover?
It is organised into 6 modules, starting with Importing Data Sets and going on to Data Wrangling, Exploratory Data Analysis, Model Development, Model Evaluation and Refinement, among others. The full outline is on this page.