In this excellent nanodegree program, you’ll master the skills you need to establish a successful data science career. You’ll learn to analyse data and communicate insights using powerful tools like Python, R, SQL, and Tableau.
There are two separate terms, which you can approach individually or together, depending on your pre-existing knowledge.
Udacity’s 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. You will get started learning data science through interactive content like quizzes, videos, and hands-on programs. Our learn-by-doing approach is the most effective way to learn data skills.
You will advance quickly and successfully through the curriculum with the support of expert reviewers whose detailed feedback will ensure you master all the right skills.
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.
Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
EXPLORE US BIKESHARE DATA
Learn the data analysis process of questioning, wrangling, exploring, analysing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.
INVESTIGATE A DATASET
Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analysing A/B tests and building supervised learning models.
ANALYSE EXPERIMENT RESULTS
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 visualisations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.
3 months to complete
PREREQUISITE KNOWLEDGE: You should have experience analysing data using Python, as well as a solid understanding of inferential statistics and its applications.
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.
TEST A PERCEPTUAL PHENOMENON
WRANGLE AND ANALYSE DATA
Learn to explore data at multiple levels using appropriate visualisations, acquire statistical knowledge for summarising data, and develop intuition around a data set.
EXPLORE AND SUMMARISE DATA
Learn to apply sound design and data visualisation principles to the data analysis process. Learn how to use analysis and visualisations to tell a story with data.
CREATE A TABLEAU STORY
The first term only requires basic knowledge of statistics and spreadsheets; the second term requires a working knowledge of statistics and data analysis in Python and SQL.
Scholarship opportunities available
Eight highly skilled instructors team up to teach this course for Udacity.
Udacity began as an experiment in online learning, when Stanford instructors Sebastian Thrun and Peter Norvig elected to offer their “Introduction to Artificial Intelligence” course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled. The potential to educate at a global scale was awe-inspiring, and Udacity was founded to pursue a mission to democratize education. It would take several years of intensive iteration and experimentation to clarify our focus on career advancement through mastery of in-demand skills, but today, Udacity proudly offers aspiring learners across the globe the opportunity to participate in—and contribute to—some of the most exciting and innovative fields in the world.
All fields marked with red asterisks are required fields.
This is an excellent program that was invaluable to me when starting out my career as a data analyst. Due to Udacity’s partnership with industry-leading firms, I felt as though the content was very cutting-edge and gave me a leg up on fellow graduates. They take an interactive learning approach that uses quizzes, videos and hands-on programs to drive the content home. If you’re a young data science professional, taking this course will significantly expand on your knowledge and potential job opportunities.
Really good course for those looking to become a data analyst. Probably not for advanced users though.