At 10 hrs/week
Get access to classroom immediately on enrollment
This is an introductory program and has no prerequisites. In order to succeed, we recommend having experience using a computer and being able to download and install applications.See detailed requirements.
Meet your instructors and learn how to optimize your classroom. Learn how people use data to answer questions, and find your own insights from a data dashboard.Interpret a Data Visualization
Learn how to use statistics and visuals to find and communicate insights. Develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet. Build Excel models to analyze possible business outcomes.Analyze NYSE Data
Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.Query a Digital Music Store Database
Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.Build Data Dashboards
from industry experts
Personal career coach and
Data Scientist at Nerd Wallet
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.
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
CEO at Mode
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.
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.
Pay up-front and save! Switch to the monthly price afterwards if more time is needed.
Life can be unpredictable. Get maximum flexibility to learn at your own pace.
Numbers don't lie. See what difference it makes in career searches.*
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
Average salary increase for graduates who found a new, better job within six months of graduation.
This Nanodegree program is a great introduction to the fundamentals of data and analysis. You will leave with practical skills that you can apply in any job. These skills are also a great foundation to a career in data analysis and data science.
This Nanodegree program is well-suited for those those looking to apply data skills in their current roles. It is also a great first step on a journey to becoming a data analyst or data scientist. We have more courses that will pick up from where this course leaves off to help you become ready for a career in data science.
Data is a transformational force in every business and analysis of data has become a mandatory skill to have to provide value in any organization. This Nanodegree program offers an introduction to the world of data. If you are just beginning learning about data, this is the course for you.
Udacity’s School of Data consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around three main career roles: Business Analyst, Data Analyst, and Data Scientist.
The School of Data currently offers two clearly-defined career paths. These paths are differentiated by whether they focus on developing programming skills or not. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit How to Choose the Data Science Program That’s Right for You to learn more.
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
There are no prerequisites for enrolling aside from basic computer skills and English proficiency. You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying & pasting.
The Business Analytics Nanodegree program is comprised of content and curriculum to support four (4) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete the program in three (3) months working 10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.
Check out the Predictive Analytics for Business Nanodegree program, which focuses on more advanced data analytics like making predictions, but does not require any coding.
Or, if you want to get started with programming in the data field, check out our Programming for Data Science Nanodegree program to build on the concepts you have learned. It will teach you more advanced SQL and also includes other modern programming languages used by Data Analysts and Scientists around the world.