Data Analyst

Clean up messy data, uncover patterns and insights, and communicate your findings. You'll start with an introduction to data analysis tools, including Jupyter Notebook, NumPy, pandas, and Matplotlib. Using these tools, you will ask questions about data and answer them through data collection, exploration, wrangling, and visualization. This intermediate-level program includes real-world projects where you will choose your own datasets, research questions, and analysis approach. As you progress through the program, each course will repeat the data analysis process while introducing more advanced techniques, such as applying data imputation to fill in missing data and applying appropriate encodings when developing data visualizations.

Nanodegree Program

Intermediate
43 hours
4.8 (1309)
Updated: Aug 25, 2026

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Hands-on projects with expert feedback
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Program Certificates

What you'll build

Project submissions reviewed by industry professionals

Project 1

Investigate a Dataset

Pose a research question, then wrangle and analyze real-world data with Python and pandas.

Python

pandas

Data Analysis

Project 2

Communicate Data Findings

Turn exploratory analysis into explanatory Matplotlib visuals that tell a story to non-technical audiences.

Data Visualization

Matplotlib

Data Analysis

Project 3

Real-World Data Wrangling

Gather, assess, and clean several messy datasets in Python into one analysis-ready file.

Data Wrangling

Python

Data Analysis

Skills you'll learn

21 skills

Data cleaning
Data storage
Data Tidiness Assessment
Data gathering
Data wrangling

Pandas
Data quality assessment
File i/o

Prerequisites

6 prerequisites

Prior to enrolling, you should have the following knowledge:

You will also need to be able to communicate fluently and professionally in written and spoken English.

Program Outline

5 courses
17 lessons
3 projects

Course 1: Welcome to the Data Analyst Nanodegree Program

Course 2: Introduction to Data Analysis with Pandas and NumPy

Course 3: Data Visualization with Matplotlib and Seaborn

Course 4: Advanced Data Wrangling

Career Impact

96%

of Udacity graduates reported a positive career outcome

Source: Udacity’s Q2 2026 Learner Outcome Survey

This Nanodegree builds toward roles like

Data Analyst

· U.S. salaries

$65K

Entry-level

0–2 yrs

$125K

Mid-career

3–9 yrs

$260K

Experienced

10+ yrs

Salary estimates based on public market data. Individual results vary.

Companies hiring for these skills

Amazon
Google
Meta
JPMorgan Chase
Deloitte
Spotify
Uber
Netflix

Program Instructors

3 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Josh Magee

Senior Data Scientist

Ria Cheruvu

AI Software Architect

Matt Maybeno

Senior Applied ML Engineer

Josh Magee

Senior Data Scientist

Ria Cheruvu

AI Software Architect

Matt Maybeno

Senior Applied ML Engineer

Reviews & Testimonials

Udacity graduates

(8 Testimonials)

Alexis Tamayo.

Graduate

Before Udacity, I had experience and interest in technology and AI, but I struggled to organize my learning path and apply concepts confidently in real-world projects. After completing the program, I gained stronger technical skills, more confidence working on real projects, and a clearer understanding of how to apply AI and data concepts professionally. The project-based learning approach helped me improve my analytical thinking, coding, and problem-solving abilities, while also giving me portfolio projects that support my career growth.
Before Udacity, I had experience and interest in technology and AI, but I struggled to organize my learning path and apply concepts confidently in real-world projects. After completing the program, I gained stronger technical skills, more confidence working on real projects, and a clearer understanding of how to apply AI and data concepts professionally. The project-based learning approach helped me improve my analytical thinking, coding, and problem-solving abilities, while also giving me portfolio projects that support my career growth.

Miranda Gomez-Puche

Financial Analyst

I was a treasury analyst with no programming experience. Udacity helped me build real coding skills and the confidence to apply them. Now I've landed a more technical financial analyst role, something I couldn't have imagined before.

Dipesh Budhathoki

Data Analyst

I was already working as a mechanical engineer but didn't know how to bridge the gap into data analytics. After Udacity, I gained hands-on experience, built a strong portfolio, and landed a data analyst role at a tech company within a few months.

Tiago Antunes

Graduate

Before Udacity, I had basic Python knowledge but no real data analysis experience. Through the program I developed strong skills in data cleaning, visualization, and exploratory analysis, and now actively building my portfolio.

Luckson Mahenge

Graduate

Before joining Udacity, I was not confident with my data skills and couldn't take many job/intern interviews. Now I can walk anywhere confidently, all because Udacity strengthen me through quiz, practices and projects I did during class hours.

Balazs Soter

Graduate

Before starting the nanodegree, I imagined that Data Analysis is extremely difficult, but after completing the course I find it interesting and quite straightforward. Nevertheless, a more thorough introduction to Python basics would be helpful at the beginning of the course.

Domonique Shuler

Graduate

Before Udacity, I had theoretical knowledge but no practical experience. The program's hands-on projects and mentorship helped me build a strong portfolio, master industry-relevant skills, and transition into my target role.

Anindya Chaudhuri

Graduate

The course content and video presentations are of good quality. The mentors and co-pilot were helpful, and all projects and reviews were valuable.

Trustpilot reviews

Average Rating: 4.8 (1,309 Reviews)

Clear requirements, and plenty of resources and options to apply skills.

— Jon Prentice

Sep 15, 2026

Excellent program with real, hands-on quality. The Data Analyst Nanodegree isn't just theory: every course ends with a practical capstone project where you apply the skills to real, messy data end-to-end. In the Real-World Data Wrangling project, for example, I gathered two datasets through different methods (API and file download), assessed and cleaned quality/tidiness issues, and built visualizations to answer a real research question. That practical, project-based structure is what makes the learning stick. Highly recommended.
Excellent program with real, hands-on quality. The Data Analyst Nanodegree isn't just theory: every course ends with a practical capstone project where you apply the skills to real, messy data end-to-end. In the Real-World Data Wrangling project, for example, I gathered two datasets through different methods (API and file download), assessed and cleaned quality/tidiness issues, and built visualizations to answer a real research question. That practical, project-based structure is what makes the learning stick. Highly recommended.

— Arturo Ramos

Jul 11, 2026

Excellent nanodegree

— Juan Pablo Pérez Franco

Jul 3, 2026

Course completed

— SYEDA YASMEEN

Jun 23, 2026

This program provided clear and practical insights into stakeholder engagement, which are highly relevant for a Data Analyst role. The concepts on communication, expectation management, and collaboration can be directly applied to improve interactions with cross-functional teams and enhance data-driven decision-making.

— Shilpa Shetty

Jun 22, 2026

Showing 5 out of 1,309 Reviews

About this program

Our Data Analyst Nanodegree program is a meticulously crafted data analyst online course that imparts essential skills for cleaning up messy data, uncovering patterns and insights, making predictions with machine learning, and effectively communicating findings. This intermediate-level program involves real-world projects where learners can apply their skills in data visualization, exploratory data analysis, latent variables, and more. The curriculum includes hands-on experience with Python, Pandas, NumPy, as well as advanced data wrangling and visualization using Matplotlib and Seaborn.

At Udacity, we empower our learners with practical, industry-relevant skills taught by professionals like Josh Magee, Ria Cheruvu, and Matt Maybeno. Our data analyst course is designed not just to impart knowledge but to ensure its application in real-world scenarios, enhancing both understanding and skill retention. Join us to advance your career in data analysis, where we provide the tools and support for your professional growth.

Subscription · Monthly

Cancel Anytime
Unlimited access to hundreds of top-rated courses
Hands-on projects with expert feedback
Personalized career coaching and interview prep
Program Certificates

Data Analyst

What you'll build

Investigate a Dataset

Communicate Data Findings

Real-World Data Wrangling

Skills you'll learn

Prerequisites

Program Outline

Career Impact

Program Instructors

Reviews & Testimonials

Udacity graduates

Trustpilot reviews

About this program

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