Nanodegree Program

Become a Data Analyst

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions

Enrollment Closing In

  • Time
    1 Term - 4 Months

    Study 10 hrs/week and complete in 4 mo.

  • Classroom Opens
    May 14, 2019

    Classroom opens 7 days after enrollment closes

  • Estimated Salary
    $64.4k to $109k

    Based on US job data

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Why Take The Data Analyst Nanodegree Program?

Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. In this program, you’ll learn to use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions. Demand for qualified Data Analysts continues to rise, and as a graduate of this program, you will be prepared to take on these roles.

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of companies plan to increase positions requiring data analysis skills.

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Effective and Engaging Content

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

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Beneficial and Supportive Project Review

Advance quickly and successfully through the curriculum with detailed and personalized feedback from our reviewer network which will ensure you master all the right skills.

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An Outstanding Community

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

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Prepare for a Career in Data Analysis

You'll leave with core data analysis skills that will prepare you for a career in this field. Gain the insights necessary to proceed with confidence.

What You Will Learn

Download Syllabus

Data Analysis with Python and SQL

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.

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4 months to complete

Prerequisite Knowledge

You should have experience working with Python (specifically Numpy and Pandas) and SQL.See detailed requirements.

  • Introduction to Data Analysis

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

    Explore Weather TrendsInvestigate a Dataset
  • Practical Statistics

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

    Analyze Experiment Results
  • Data Wrangling

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

    Wrangle and Analyze Data
  • Data Visualization with Python

    Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.

    Communicate Data Findings

Jobs of Tomorrow Start Here

Learn with the best

Josh Bernhard
Josh Bernhard

Data Scientist at Nerd Wallet

Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.

Sebastian Thrun
Sebastian Thrun


As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

Derek Steer
Derek Steer

CEO at Mode

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.

Juno Lee
Juno Lee

Curriculum Lead at Udacity

Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.

Mike Yi
Mike Yi

Data Analyst 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

Data Analyst 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 to Udacity students.

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.

Student Reviews



5 stars
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Marcus H.

I have learned several useful new skills that will help me to communicate and more structured perform data analysis.

olanrewaju o.

Taking this program has been a huge success in life and a great step in the right direction. I confident of my tilte and also face real life challenge. I highly rcommend this program for people aspiring to become data analyst, you will be glad you did.

Lieby B.

Amazing, worth every second that I spent on it.

Azad K.

It was an awesome experience learning Data Analysis for someone who comes from a Sales background...Moving into analytics required lots of inputs which was accomplished with the help , support , guidance & motivation of Udacity and all the faculty members including project mentors....Thanks Udacity for making things easier for me....


Hello Udacity, Thank you very much to educate me. I did hard work for this degree. I will strongly recommend to my all friends & family for this degree. Sincerely

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Data Analyst

$999 USD
8 days left to enroll!
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Analyze Data with Python and SQL

Program Details

  • Why should I enroll?

    The Data Analyst Nanodegree program offers you the opportunity to master data skills that are in demand by top employers, such as Python and Statistics. By the end of the program you will have created a portfolio of work demonstrating your ability to solve complex data problems. After graduating, you will have the skills needed to join a large corporation or a small firm, or even go independent as a freelance data analyst.

    You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data field. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful career in data, and land a job you love.

  • What jobs will this program prepare me for?

    Graduates will be well prepared to fill a wide array of data related roles. These include: Data Analyst, Analytics Consultant, Product Manager, and Management Consultant.

  • How do I know if this program is right for me?

    If you're someone who wants to make data driven decisions or work with various types of data to conduct analyses, or is interested in becoming an data analyst, this program is ideal for you, because you'll learn applied statistics, data wrangling with Python, and data visualization with Matplotlib, which will enable you to work with any data set and find and showcase meaningful insights. This will qualify you for roles such as a Data Analyst and Analytics Consultant. You'll need to have some experience with python and pandas to succeed in this program, and if that's you, and you're ready to apply those skills to real world projects, then we encourage you to enroll today.

  • What is the School of Data Science, and how do I know which program to choose?

    Udacity’s School of Data consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around three main career roles: Business Analyst, Data Analyst, and Data Scientist.

    The School of Data currently offers two clearly-defined career paths. These paths are differentiated by whether they focus on developing programming skills or not. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit How to Choose the Data Science Program That’s Right for You to learn more.

  • Do I need to apply? What are the admission criteria?

    No. This Nanodegree program accepts all applicants regardless of experience and specific background.

  • What are the prerequisites for enrollment?

    In order to succeed in this program, we recommend having the following experience:

    • Python programming, including common data analysis libraries (e.g., Numpy and Pandas)
    • SQL Programming

    You should also be able to read and write in English.

  • How is this Nanodegree program structured?

    The program is comprised of 1 (one) 3 (three)-month term with fixed start and end dates. Students must successfully complete all assigned projects by the end date for each term to graduate. The projects give you an opportunity to apply the skills you've learned in the lessons.

    Each project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the period noted in the Term Length section above.

    See the Terms of Use and FAQs for other policies around the terms of access to our Nanodegree programs.

  • Can I switch my start date? Can I get a refund?

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

  • How much does the program cost?

    The full program consists of 1 (one) 4 (four)-month long term at a cost of USD $999.

    Payment is due before the term begins.

  • I have graduated from the Data Analyst program and I want to keep learning. Where should I go from here?

    Check out our Data Scientist Nanodegree program to take the concepts you have learned in Data Analyst and build upon them using machine learning and neural networks. Learning these advanced concepts will not only enhance your knowledge it will make you a more attractive candidate to be hired as an analyst or data scientist.

  • What software and versions will I need in this program?

    For this Nanodegree program you will need access to the Internet, and a 64 bit computer.

    Additional software such as Python and its common data analysis libraries (e.g., Numpy and Pandas) will be required, but the program will guide students on how to download once the course has begun.