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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.
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.
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.
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.
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.
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You should have experience working with Python (specifically Numpy and Pandas) and SQL.See detailed requirements.
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
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
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
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
Data Analyst Curriculum Lead
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 is the co-founder of Udacity and a professor at Stanford University. He’s a prominent figure in artificial intelligence where he’s known as the godfather of automated vehicles. Sebastian spends his time flying as president of Kitty Hawk.
Data Analyst 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
Data Analyst 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.
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.
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 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.
Terrific program. Very well structured, projects are great and go a long way in strengthening the concepts taught in the lessons. Very good mentors as well.
The Data Analyst Nanodegree Program is quite valuable, as it is rigorous and provides me an opportunity to learn and practice applying cutting edge skills. The personalized feedback provided on the submitted projects is encouraging and provides me insight in areas where I find challenging.
This is so good for the beginners.
It was great.
What I liked the most about this program compared to other online courses is the ammount of practical exercises. This make a huge difference in learning and keeping what you learned after you graduate. Second is the interaction with evaluators and tutors, with chats and forums. This was very important as motivation in the dark hours of despair (a.k.a. not having a clue of how to proceed). Overall the program is a great experience and benefit for the cost, and I recommend taking it.
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Analyze Data with Python and SQL
Admissions Closes: 05 September, 2018
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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.
In order to succeed in this program, we recommend having the following experience:
You should also be able to read and write in English.
The program is comprised of 1 (one) 4 (four)-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.
The full program consists of 1 (one) 3 (three)-month long term at a cost of 44900 INR *.
Payment is due before the term begins.
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.
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.