Use code UM9ZJND0E47FA28 to avail 50% Graduation Refund. Valid only for college students.Offer Ends: 30th June

Use code UM9ZJND0E47FA28 to avail 50% Graduation Refund. Valid only for college students.Offer Ends: 30th June

copy code
Nanodegree Program

Data Analyst

Become a Data Analyst

Choose a term that suits you.
Term 1: Learn to use Python, SQL, and basic statistics essential for data analysis.
Term 2: Use Python, SQL, R and Tableau to uncover insights and create data-driven solutions.

ENROLLMENT CLOSING IN

7 days refund, no questions asked

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.


Why Take The Data Analyst Nanodegree Program?

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

India Hiring Partners

  • Directi
  • Red Bus
  • Bank Bazaar
  • Ola Cabs
  • engineer.ai
1000+ jobopportunities created
80+ Hiring partnersonboard
₹ 40 lac+ Highestannual CTC offered
LEARN MORE
Effective & Engaging Content
Effective & Engaging Content

Effective & Engaging Content

Get started with programming through interactive content like quizzes, videos, and hands-on projects. Our learn-by-doing approach is the most effective way to learn to code.

Beneficial and Supportive Project Review

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.

An Outstanding Community
An Outstanding Community

An Outstanding Community

Draw inspiration and knowledge from forums, stay on track with the support of mentors, and enjoy 1:1 video calls when you need guidance on specific challenges or projects.

Get Ahead on a Career-Track Program

Get Ahead on a Career-Track Program

Learn the skills needed to enroll in a career-track Nanodegree program, then try them out on a real project from one of those programs—you’ll get credit for it when you enroll!

Skills Covered
  • Python
  • SQL
  • Statistics
  • Data Wrangling
  • Data Visualization
Show More

What You Will Learn

Term I

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.

See details

3 months to complete

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.

See details

3 months to complete

“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

Learn with the best

Mat Leonard
Mat Leonard

Curriculum Lead

Mat, the Curriculum Lead, is a former physicist, neuroscientist, and data scientist with a passion for education. Recently, he led the Deep Learning Nanodegree Foundation program covering state-of-the-art machine learning models.

Sebastian Thrun
Sebastian Thrun

Instructor

Scientist, educator, inventor, and entrepreneur, Sebastian led the self driving car project @ Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning 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 and dabbles in data visualization in his spare time.

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.

Start Learning

Do you have a coupon code to redeem?

apply
Term 1
₹18500*


Time to Complete: 3 months
Full Fee: ₹18,500*
Prerequisite: No coding experience needed

Admissions Closes: 10 July

Term 2
₹25300*


Time to Complete: 3 months
Full Fee: ₹25,300*
Prerequisite: Python and SQL experience

Admissions Closes: 10 July

Login to Enroll

Payment Options

We support multiple payment options for your convenience. Choose an option that suits you the most

Credit/Debit
Credit/Debit Card

Accepting payments through Credit/Debit cards from all major banks.

Emi
EMI on Credit Card

Split the payment of the course fee across 3 or more months. Option is available for all plans. Instalment information available on the payment page.

Internet Banking
Internet Banking

Seamless payment though Internet banking accepting payments from over 59 banks.



Udacity on the go

Now you can achieve your goals on the move. Discover our offerings, personalised recommendations, classroom experience and so much more. Install Now!

FAQ

  • Why do I enroll into Data Analyst?

    As long as there is data, there will be data scientists needed. To the extent, that NASSCOM predicts that the analytics market in India could reach $2.3 billion by the end of 2017-18.This Nanodegree program will equip you to be an industry-ready scientist who can mine relevant data and clearly communicate critical findings.

    You’ll learn everything from cleaning some OpenStreetMap data to identifying fraud from Enron emails. We’ve built this program with expert analysts and scientists leading technology companies to ensure you master the exact skills necessary to build a career in data science.Market leader US is expected to have a shortage of 140,000 – 190,000 analytics professionals by 2018, which will open up a huge opportunity for product and service companies in India.

    Program Highlights
  • 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 data analyst or advanced their career in data.
  • What kinds of topics will the program cover?
    The topics we'll cover include Programming in Python, SQL for Data Analysis, Probability and Statistics, Data Wrangling, Exploratory Data Analysis, Programming in R, Data Storytelling in Tableau, and more.
    Tuition/Payments
  • Is there a free trial period for this program?
    There is no free trial period for this program, but there is a 7-day refund guarantee in place at the beginning of each Term.
  • Are graduates of the Data Analyst Nanodegree program eligible for the 50% tuition refund offer?
    No, we do not provide 50% refund on this Nanodegree.
  • Are there scholarships or financial aid available?
    Scholarship opportunities are posted on our scholarships page.
    Program Structure and Dealines
  • How is this Nanodegree program structured?
    The Data Analyst Nanodegree program is comprised of two (2) Terms of three (3) months each. Each Term has fixed start and end dates. When you enroll, you'll self-select your starting point as either Term 1 or Term 2, depending on your current skills and experience.

    All students must successfully complete Term 2 to graduate and earn the Nanodegree program credential. Students starting in Term 1 must successfully complete both terms to earn the Nanodegree program credential. There are 3 projects per term, which will give you an opportunity to apply the skills you've learned in the lessons. Each project will be reviewed by one of the expert project reviewers in the Udacity reviewer network. Your reviewer will give you detailed feedback on your work, and either confirm that you've successfully passed the project, or provide you with details on what you'll need to improve in order to pass. If you do not pass a project, you will need to make corrections and then submit again, repeating this however many times are necessary until you successfully pass the project. You cannot successfully complete a term until you pass all projects.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of the Data Analyst Nanodegree program, and the need for maintaining a consistent and stable student body throughout, doesn't allow for offering the option to pause your studies.
  • Is this program self-paced?
    No. The start and end dates of each Term are fixed, and you must complete all assigned projects by the end dates. However, projects may be submitted at any time during a Term, and individual project deadlines are recommendations, not requirements. So within a Term, there is some opportunity to work at your own pace. You should plan to follow our recommended timeline, as this will best enable you to keep pace with your peers, and complete the program on time.
  • When can I receive my credential for completing the Data Analyst Nanodegree program?
    Upon successful completion of Term 2 of the program, students will be granted a Nanodegree program credential. Students who complete Term 1 of the program will need to enroll into Term 2, and successfully complete Term 2, before earning the Nanodegree program credential. If a student elects to enroll in Term 2, and successfully passes all projects, they will receive the Nanodegree program credential.
  • What are my options if I don't complete a Term by the deadline?
    Successful completion of a term requires that you submit all projects by the last day of the Term, and that you successfully pass all projects, as determined by a Udacity Reviewer. (Note: the review may take place after the last day of the Term, but you must make your final submission no later than the last day of the Term). Passing a project means a Udacity Reviewer has marked a project as "Meets Specifications."

    If you do not submit all projects by the end of the Term, and/or if you do not successfully pass all projects as determined by a reviewer, you will receive a 4-week extension to complete any outstanding projects. You will only receive this extension a maximum of once. If you do not submit and pass all projects within the 4-week extension, you will be removed from the program.
  • What kind of weekly time commitment should I expect?
    On average, we find students spending 10 hours per week throughout the entire term, in order to complete this program on time. This is an average, so some students may require more than the allotted time frame, or less.
    Other
  • Are deferments an option if I'm enrolled, but not ready to start yet?
    No, deferments are not an option. We ask that you please make sure to only enroll for a Term if you are able to commit to the entire time frame.
  • Is this program available internationally?
    All eligible students, according to our Terms of Service, are welcome to enroll in the English-language version of this program. Some countries may have localized pricing and other language options.
  • What is the refund policy?
    There is a 7-day refund policy. Send us a message here within 7 days of the date your term begins, to request that your enrollment be canceled and payment refunded.

Data Analyst

Become a Data Analyst

Need Help with Enrollments?1800-121-6240
Mon - Fri, 10 am - 10 pm