Nanodegree Program

Become a Data Analyst

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

  • Estimated Time
    4 Months

    At 10 hrs/week

  • Enroll by
    August 27, 2019

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python & SQL

    See prerequisites in detail

In collaboration with

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
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59%

of companies plan to increase positions requiring data analysis skills.

All Our Nanodegree Programs Include:

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

1-on-1 technical mentor

Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments you can learn at your own pace and reach your personal goals.
Program OfferingsFull list of offerings included:
Subscription includes:
Class Content
Content co-created with Kaggle
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Real-world projects
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Project reviews
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Proj. feedback from experienced reviewers
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Student Services
1-on-1 technical mentor
New
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Check-ins with mentor
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Student community
Improved
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Career services
Personal career coaching
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Interview preparations
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Resume services
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Github review
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LinkedIn profile review
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Resume shared with 500+ employers
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Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Individual 1-on-1 Mentorship
Personal Career Coach
Experienced Project Reviewers
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Project Reviewers
1-on-1 Mentors
Career Coaching
Experienced Project Reviewers
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve

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

Instructor

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

4.6

(2055)

5 stars
1490
72.5%
4 stars
389
18.9%
3 stars
76
3.7%
2 stars
30
1.5%
1 stars
70
3.4%
Akshatha I.

A very practical approach to very current technology skills that are becoming increasingly essential in our world today. Systematic, time-bound projects enhance not only our expertise on the subject but also help inculcate the self-discipline required to achieve our goals.

Omar H.

it covered many aspects of data analysis , really useful

JAIME R.

It has overall reached beyond my expectations! What I liked the most and thought it was absolutely spectacular was the module Practical Statistics. Beyond that, the other modules were also great, very complete and deep, and I believe I have learned a lot and gained confidence using Python. What I suggest to improve is the project reviews, because some are very poor, only greeting you and cheering you, but not giving you any additional nor quality feedback. Thanks for this excellent and practical nanodegree!!

Surbhi S.

A really good course for a beginner to get a good basic foundation of data analysis. At times could be grilling but given proper time would be easy to make it through!

raviraj arunkumar n.

Great.

Get started with

Data Analyst

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Learn
Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.
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Average Time
On average, successful students take 4 months to complete this Nanodegree program.
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Benefits include
  • Real-world projects from industry experts
  • 1-on-1 technical mentor
  • Personal career coach & career services
Pay as you go
$399per month

Life can be unpredictable. Get maximum flexibility to learn at your own pace.

Buy with payments as low as $120 per month at 0% APR.

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Best Deal!

4 months access
$1436 $399 $359 per month

Pay up-front and save! Switch to the monthly price afterwards if more time is needed.

Buy with payments as low as $120 per month at 0% APR.

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The Udacity Impact

Numbers don't lie. See what difference it makes in career searches.*

84%
Better Jobs

Career-seeking and job-ready graduates found a new, better job within six months of graduation.

$24,000
Salary Increase

Average salary increase for graduates who found a new, better job within six months of graduation.

Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • 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.

    ENROLLMENT AND ADMISSION
  • 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.

    TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?

    The Data Analyst Nanodegree program is comprised of content and curriculum to support five (5) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete the program in four (4) months working 10 hours per week.

    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 length of time specified in your subscription plan. See the Terms of Use and FAQ for other policies around the terms of access to our Nanodegree programs.

  • Can I get a refund?

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

  • 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 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 career roles like Business Analyst, Data Analyst, Data Scientist, and Data Engineer.

    The School of Data currently offers three clearly-defined career paths in Business Analytics, Data Science, and Data Engineering. 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.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • 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.