• Time
    2 Terms — 3 months each

    Study 10 hrs/week and complete in 6 mo.

  • Classroom Opens
    January 16, 2018

    Classroom opens in 34 days.

  • Student Rating

    View all reviews ()

  • Estimated Salary

    Based on US job data

In Collaboration With
  • kaggle
  • Tableau
  • Mode

Why Take The Data Analyst Nanodegree Program?

In this program, you’ll master the skills you need to establish a successful data science career. Our curriculum was developed with leading industry partners to ensure students master the most cutting-edge skills. Demand for qualified employees with advanced data skills has never been higher, and graduates will emerge fully job-ready.

Icon arrow stat

59%
of companies plan to increase positions requiring data analysis skills.

Features 1
Amazing content & live sessions

Effective and Engaging Content

Get started learning data science through interactive content like quizzes, videos, and hands-on programs. Our learn-by-doing approach is the most effective way to learn data skills.

Projects with expert feedback

Beneficial and Supportive Project Review

Advance quickly and successfully through the curriculum with the support of expert reviewers whose detailed feedback will ensure you master all the right skills.

Features 2
Guaranteed Admission

An Outstanding Community

Draw inspiration and knowledge from your student community and stay on track with the support of mentors directly in the classroom when you need guidance on specific challenges or projects.

Practical Career Support

Practical Career Support

Receive personalized feedback from experts to help you perfect your resume, refine your LinkedIn profile, and prepare for a data analyst interview.

Learn with the Best

Mat Leonard
Mat Leonard

Curriculum Lead

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Sebastian Thrun
Sebastian Thrun

Instructor

Scientist, educator, inventor, and entrepreneur, Sebastian led the self-driving car project at Google X, and founded Udacity with a mission is to democratize education by providing lifelong learning opportunities to millions of students around the world.

Juno Lee
Juno Lee

Instructor

As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.

Derek Steer
Derek Steer

Instructor

Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.

Mike Yi
Mike Yi

Instructor

Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.

David Venturi
David Venturi

Instructor

Formerly a chemical engineer and data analyst, David created a personalized data science master's program using online resources. He has studied hundreds of online courses and is excited to bring the best of the best to Udacity students.

Chris Saden
Chris Saden

Instructor

Chris is a Full Stack Software Engineer at Udacity. He brings his experience of teaching high school mathematics to online learning.

Sam Nelson
Sam Nelson

Product Lead

Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.

What You Will Learn

Download Syllabus

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Term 1

Data Analysis with Python and SQL

You’ll learn to code in Python and how to use the data analysis process to solve problems. You’ll also learn to apply statistical techniques to practical problems, such as A/B tests and linear regression.

Learn to code in Python and to apply statistical techniques to practical problems.

See Details

3 months to complete

Prerequisite Knowledge

You should be familiar with descriptive statistics and have some experience working with data in spreadsheets or SQL. See detailed requirements.

  • Introduction to Python

    Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.

    Icon project Explore US Bikeshare Data
  • Introduction to Data Analysis

    Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.

    Icon project Investigate a Dataset
  • Practical Statistics

    Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.

    Icon project Analyze Experiment Results
Term 2

Advanced Data Analysis

Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.

Manipulate and prepare data for analysis, create visualizations for data exploration, and tell stories with data.

See Details

3 months to complete

Prerequisite Knowledge

You should have experience analyzing data using Python, as well as a solid understanding of inferential statistics and its applications. See detailed requirements.

  • Data Wrangling

    Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis.

    Icon project Test a Perceptual Phenomenon Icon project Wrangle and Analyze Data
  • Exploratory Data Analysis

    Learn to explore data at multiple levels using appropriate visualizations, acquire statistical knowledge for summarizing data, and develop intuition around a data set.

    Icon project Explore and Summarize Data
  • Data Storytelling

    Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.

    Icon project Create a Tableau Story

Get started now

Term 1
Data Analysis with Python and SQL

total

If you’re new to analyzing data with Python and/or SQL, start with term 1.

* Term 1 is not required for graduation.

PREREQUISITES

No coding experience needed.

Term 2
Advanced Data Analysis

total

If you have a working knowledge of statistics and data analysis in Python and SQL, start with term 2.

PREREQUISITES

Python and SQL experience.

Get started now

This program is not eligible for the 50-back program.

“Being able to tell a story using data is more critical than ever. We've partnered with Udacity on this program to help aspiring data professionals go beyond crunching numbers, and craft narratives that support decision making.”

— Emma Trifari, Tableau's Academic Programs Marketing Manager

Student Reviews

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FAQ

  • Why should I enroll in the Data Analyst Nanodegree program?

    You should enroll in the program because you'll master the skills you need to establish a successful data science career. You'll learn to analyze data and communicate insights using powerful tools like Python, R, SQL, and Tableau. And having these skills will qualify you for a role as a data analyst. Demand for qualified employees with advanced data skills has never been higher, as data analytics quickly becomes a top priority for organizations. Our curriculum was developed with leading industry partners to ensure students master the most cutting-edge skills, and graduates will emerge fully job-ready. This is the perfect program for anyone who wants to become a data analyst or advance their career in data.

    See More Questions

Become a Data Analyst

Enroll today, and start putting your skills to work!

Get started now
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