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.
Advance quickly and successfully through the curriculum with the support of expert reviewers whose detailed feedback will ensure you master all the right skills.
Stay on track with mentors who will help in case of any doubts or when you are stuck on projects.
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!
Before joining Udacity, Caroline worked as a Software Engineer at Quixey, a startup building a search engine for apps. While receiving her undergraduate degree from Carnegie Mellon, she was a TA for six different courses, and that same love for teaching later led her to join Udacity. Outside of work, she likes reading fiction, playing board games, and drinking bubble tea.
Philip has had the privilege to teach in several formats. He’s taught Game Boy Advance programming in person, coached data science and introductory computer science courses at Udacity, and now he’s developing courses too. He’s applied computer science to music composition, aerial dolphin photography, and oncology. When he’s away from his keyboard Philip rides bikes, cooks, and plays ultimate. Philip attended Georgia Tech where he earned a B.S. in Computer Science. He’s currently enrolled in Georgia Tech’s online M.S. in CS, a program offered in collaboration with Udacity.
Charlie has worked in the UK's National Bureau of Statistics and has more than a decade of experience in data analysis and manipulation. Today, it is Course Developer and Course Manager at Udacity. He holds a PhD in Mathematics from the University of Warwick.
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No Prior Programming experience required See detailed requirements.
Get to know the basic Python frameworks and commands that will allow you to build your first program to analyze data in a simplified way.
Learn how to use Python libraries. Build programs that process different databases, interpret the information found, and generate a new file for you. Test your learning by tracking information on Wikipedia.
Gain familiarity with NumPy (Numerical Python) and Pandas, two of the best-known libraries for handling and manipulating data.
This module is entirely dedicated to your final project. You will clean and manipulate a database, consolidating all your learning. It will be your first work with iPython Notebook and with our team of reviewers, who will give you tips and feedback on your Python development.Explore Bikeshare Data
7 days refund; no questions asked
Total Seats: 250
Time to Complete: 2 months
Full Fee: ₹10,100*
Admissions Closes: 27 April
* Price exclusive of taxes. GST of 18% gets applied on checkout. Option to convert your payment into EMI available on checkout page.
All the above payment plans include the costs of Unlimited project reviews (by Udacity's global reviewer network), in-classroom mentorship support through chat with industry experts and Access to global community of Udacity students pursuing the same Nanodegree.
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