Programming for Data Science
ENROLLMENT CLOSING IN
Study 10 hrs/week and complete in 3 mo.
By taking this program, you will get up to speed on the top programming tools and languages used by data scientists today. These skills will allow you to manipulate large datasets, perform version control, and access modern databases. This course is perfect for getting started on a data science career, or for experienced analysts who want to ramp up on these in-demand tools.
Learn the industry standard data programming skills and tools. Our learn-by-doing approach is the most effective way to learn programming skills, and you'll finish with a shareable portfolio in Github.
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 and stay on track with the support of the mentor network directly in the classroom when you need guidance on specific challenges or projects.
Establish foundational data science programming skills that will enable you to take the next important steps in your career. Receive critical guidance about different career options and gain the insights necessary to proceed with confidence.
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There are no prerequisites for this program.
Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Use SQL to answer complex business problems.Investigate a Database
Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using the most common libraries like NumPy and Pandas.Use a Pre-trained Image Classifier to Identify Dog Breeds
Learn how to use version control to keep track of your work, and share your projects with other people in the data science industry.Post your work on Github
Data Science 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.
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.
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.
Richard is a Course Developer with a passion for teaching. He has a degree in computer science, and first worked for a nonprofit doing everything from front-end web development, to backend programming, to database and server management.
Karl is a Course Developer at Udacity. Before joining Udacity, Karl was a Site Reliability Engineer (SRE) at Google for eight years, building automation and monitoring to keep the world's busiest web services online.
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Learn Python, SQL, and Git
Admissions Closes: 26 September, 2018
* Price exclusive of taxes. GST of 18% gets applied on checkout. Option to convert your payment into EMI available on checkout page.
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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.
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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.
The full program consists of 1 (one) 3 (three)-month long term at a cost of USD $599.
Payment is due before the term begins.