Study 10 hrs/week and complete in 4 mo.
Classroom opens 7 days after enrollment closes
Learning material and communication in English
Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. In this program, you’ll learn to use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions. Demand for qualified Data Analysts continues to rise, and as a graduate of this program, you will be prepared to take on these roles.
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 questioning, wrangling, exploring, analyzing, and communicating data. Learn how to 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 important, 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 how to use Python to wrangle data programmatically and prepare it for deeper 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
“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
Mat, who did his PhD and Postdoctoral Fellowship at Berkeley, is a research 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 is a scientist, educator, inventor, and entrepreneur. As the founder and president of Udacity, Sebastian’s mission is to democratize education by providing lifelong learning to millions of students worldwide.
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 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 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.
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.
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.
Analyze Data with Python and SQL