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Data Analyst Online Course | Data Analytics | Udacity

Take Udacity's online Data Analyst Course and start learning Pandas, Data Wrangling, and Data Storytelling to uncover insights and create data-driven solutions.

Data Analyst Online Course | Data Analytics | Udacity is a beginner-level online course from Udacity in Data Analytics. It is structured in 5 modules, over 2 months. Learners rate it 4.8/5 from 1.3K ratings on Udacity.

Part of our Data Analytics courses collection, where we compare it against 30 other courses.

★★★★★4.8(1.3K reviews) English

Course highlights

Provider Udacity
Duration 2 months
Level Beginner
Mode Self-paced
Language English
Rating 4.8★ (1.3K reviews)
Price Check price Free

Level and time commitment

Udacity 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:
  • File i/o
  • Inferential statistics
  • Basic Python
  • Elementary algebra
  • Basic SQL
  • Basic descriptive statistics
Time commitment: 2 months.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Data cleaningData storageData Tidiness AssessmentData gatheringData wranglingPandasData quality assessmentFile i/oLatent variablesData fluencyExploratory data analysisProfessional presentations

What this course covers

5 modules

The 5-part outline Udacity publishes for this course, across 2 months.

Module 1 · Welcome to the Data Analyst Nanodegree Program
Module 2 · Introduction to Data Analysis with Pandas and NumPy
Module 3 · Data Visualization with Matplotlib and Seaborn
Module 4 · Advanced Data Wrangling
Module 5 · Congratulations!

What learners rate it

4.8
★★★★★
1.3K ratings

Rated 4.8/5 by 1.3K learners on Udacity (checked 28 Aug 2026).

This rating is collected by Udacity from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udacity →

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 Udacity course pages — we never estimate a price or a rating. Last verified 28 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 Analyst Online Course | Data Analytics | Udacity This Udacity 4.8★ Check price 2 months Most popular — 0 learners
Introduction to Data Analytics 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
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 10courses. This is our own mapping of subject to job, not a placement claim by Udacity.

Data Analyst

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

Common questions

How much does Data Analyst Online Course | Data Analytics | Udacity cost?

Udacity 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.

How long does Data Analyst Online Course | Data Analytics | Udacity take?

Udacity lists it at 2 months. 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 Analyst Online Course | Data Analytics | Udacity suitable for beginners?

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

What does Data Analyst Online Course | Data Analytics | Udacity cover?

It is organised into 5 modules, starting with Welcome to the Data Analyst Nanodegree Program and going on to Introduction to Data Analysis with Pandas and NumPy, Data Visualization with Matplotlib and Seaborn, Advanced Data Wrangling, Congratulations!. The full outline is on this page.