Coursera

Data Analysis with Python

Name: Data Analysis with Python
Availability: InStock

Offered by IBM. Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics ... Enroll for free.

★★★★★4.7(19.8K reviews) 0 learners English

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	Free Free

What you’ll learn

Construct Python programs to clean and prepare data for analysis by addressing missing values, formatting inconsistencies, normalization, and binning

Analyze real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights

Apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines

Develop and evaluate regression models using Scikit-learn, and use these models to generate predictions and support data-driven decision-making

Syllabus

6 modules

Module 1 · 0h · 0 lessons

Module 2 · 0h · 0 lessons

Module 3 · 0h · 0 lessons

Module 4 · 0h · 0 lessons

Module 5 · 0h · 0 lessons

Module 6 · 0h · 0 lessons

What learners rate it

4.7

★★★★★

19.8K ratings

Rated 4.7/5 by 19.8K learners on Coursera (checked 9 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 10courses 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 9 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure