Every price and rating checked against the provider 298 courses Free counselling
HomeData Science CoursesTools for Data Science
Coursera

Tools for Data Science

Tools for Data Science is a beginner-level online course from Coursera in Data Science. It is structured in 6 modules with 4 stated learning outcomes, over 16h 16m. Learners rate it 4.5/5 from 30.4K ratings on Coursera.

Part of our Data Science courses collection, where we compare it against 15 other courses.

★★★★★4.5(30.4K reviews) English

Course highlights

Provider Coursera
Duration 16h 16m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.5★ (30.4K reviews)
Price Check price Free

What you’ll learn

Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools 
Utilize languages commonly used by data scientists like Python, R, and SQL 
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features  
Create and manage source code for data science using Git repositories and GitHub. 

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:
  • Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience. 
Time commitment: 16h 16m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Other Programming LanguagesVersion ControlSoftware Development ToolsR (Software)Python ProgrammingScikit Learn (Machine Learning Library)Statistical ProgrammingCloud ServicesCloud APIData Visualization SoftwareIntegrated Development EnvironmentsCloud Platforms

What this course covers

6 modules

The 6-part outline Coursera publishes for this course, across 16h 16m.

Module 1 · Overview of Data Science Tools
Module 2 · Languages of Data Science
Module 3 · Packages, APIs, Data Sets, and Models
Module 4 · Jupyter Notebooks and JupyterLab
Module 5 · RStudio & GitHub
Module 6 · Final Project and Submission

What learners rate it

4.5
★★★★★
30.4K ratings

Rated 4.5/5 by 30.4K learners on Coursera (checked 25 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 25 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
Tools for Data Science This Coursera 4.5★ Check price 16h 16m Quickest to finish (16h 16m)
Google Data Analytics Professional Certificate Coursera 4.8★ ₹3,999 6 months Highest rated (4.8★ from 181.6K reviews)
Deep Learning Specialization Coursera 4.8★ ₹4,299 3 months For learners past the basics · 3 months
Python for Data Science | Learn Python Online | Udacity Udacity 4.8★ Check price 3 months Beginner-friendly · 3 months
See all Data Science courses →

Where Data Science leads

Roles we map to Data Science on 10courses. This is our own mapping of subject to job, not a placement claim by Coursera.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

How much does Tools for Data Science 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 Tools for Data Science 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 Tools for Data Science take?

Coursera lists it at 16h 16m. 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 Tools for Data Science suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Tools for Data Science cover?

It is organised into 6 modules, starting with Overview of Data Science Tools and going on to Languages of Data Science, Packages, APIs, Data Sets, and Models, Jupyter Notebooks and JupyterLab, RStudio & GitHub, among others. The full outline is on this page.