Estimated Time
4 Months
At 10 hrs/week
Enroll by
December 24, 2019
Get access to classroom immediately on enrollment
Prerequisites
Python, SQL & Statistics
In collaboration with
What You Will Learn
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Data Scientist
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Prerequisite Knowledge
We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics. See detailed requirements.
Solving Data Science Problems
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Write a Data Science Blog PostSoftware Engineering for Data Scientists
Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes.
Data Engineering for Data Scientists
Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud.
Build Disaster Response Pipelines with Figure EightExperiment Design and Recommendations
Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.
Design a Recommendation Engine with IBMData Science Projects
Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.
Data Science Capstone Project
All Our Nanodegree Programs Include
Real-world projects from industry experts
With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
1-on-1 technical mentor
Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.
Personal career coach and career services
You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program
Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Individual 1-on-1 Mentorship
Personal Career Coach
Get personalized feedback on your projects
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Project Reviewers
1-on-1 Mentors
Career Coaching
Get personalized feedback on your projects
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
Learn with the best
Josh Bernhard
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.
Juno Lee
Data Science Instructor
As a data scientist, Juno built a recommendation engine to personalize online shopping experiences, computer vision and natural language processing models to analyze product data, and tools to generate insight into user behavior.
Luis Serrano
Instructor
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Andrew Paster
Instructor
Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.
Mike Yi
Data Analyst Instructor
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.
David Drummond
VP of Engineering at Insight
David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.
Judit Lantos
Senior Data Engineer at Netflix
Currently, Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.
Student Reviews
(114)
Gerald E.
The program fully met my needs and expectations. the videos are very well explained with simple words.
Virgile N.
Really nice course training and projects are in line with the program
Amit B.
Excellent curriculum with in-depth knowledge on each topics.
mohammed l.
So far so good
Yifei W.
na
Ayotomiwa S.
It was enlightening, it was fully packed. I learnt alot
The Udacity Impact
Numbers don't lie. See what difference it makes in career searches.*
84%
Better Jobs
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
$24,000
Salary Increase
Average salary increase for graduates who found a new, better job within six months of graduation.
Program Details
Why should I enroll?
The data science field is expected to continue growing rapidly over the next several years, and there’s huge demand for data scientists across industries. Data scientist is consistently rated as a top career.
Udacity has collaborated with industry leaders to offer a world-class learning experience so you can advance your data science career. You’ll get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more. You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data science field.
By the end of the program, you’ll have an impressive portfolio of real-world projects, and valuable hands-on experience. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful data science career, and land a job you love.
What jobs will this program prepare me for?
Obtaining the skills required to be a Data Scientist will make you extremely valuable across many industries, and in many roles. Data Scientists work as Analysts, Statisticians, Engineers, and more. Some become Data and Analytics Managers, while others specialize as Database Administrators. As a graduate of this program, you’ll be prepared to seek out roles that run the gamut from generalist to specialist, and all points in between.
How do I know if this program is right for me?
This program offers an ideal path for experienced programmers and data analysts to advance their data science careers. If you’re interested in deepening your expertise in the fields of analytics, machine learning, data engineering, and/or data science, this is a great way to get hands on practice with a variety of techniques and learn to build end to end data science solutions.
What is the difference between the Data Analyst, Machine Learning Engineer, and the Data Scientist Nanodegree programs?
The Data Analyst program is designed for people with some data analysis experience and little-to-no programming experience. Students will learn to analyze data using Python and SQL, to wrangle and clean messy data, to use applied statistics to test hypotheses, and to create data visualizations. Graduates of this program will be prepared for data analyst positions.
The Data Scientist Nanodegree program is designed for students with strong programming and data analysis skills, as it is the next step for graduates of the Data Analyst Nanodegree program. Students will learn to build machine learning models, run data pipelines, design experiments and recommendation engines, communicate effectively, and to deploy data applications. Graduates of this program will be prepared for data scientist positions.
The Machine Learning Engineer Nanodegree program prepares students for machine learning engineering careers. As both data scientist and machine learning jobs require machine learning knowledge, each of these two programs begins with a focus on machine learning. The curriculum diverges in later sections as you begin to focus on more job-specific tools, skills, and techniques.
PROGRAM OVERVIEW
Do I need to apply? What are the admission criteria?
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
What are the prerequisites for enrollment?
The Data Scientist Nanodegree program is designed for students with programming and data analysis experience. Students should have a high comfort level with a variety of topics before starting the program. In order to successfully complete this program, you should meet the following prerequisites:
- Python programming, including common data analysis libraries (NumPy, pandas, Matplotlib).
- SQL programming
- Statistics (Descriptive and Inferential)
- Calculus
- Linear Algebra
- Experience wrangling and visualizing data
If I do not meet the requirements to enroll, what should I do?
Udacity’s Data Analyst Nanodegree program is great preparation for the Data Scientist Nanodegree program. You’ll learn programming with Python and SQL, applied statistics, data wrangling, and data visualization.
You can also prepare by taking a number of Udacity’s free courses, such as:
- Introduction to Data Science
- Introduction to Python
- SQL for Data Analysis
- Statistics
- Data Visualization with Tableau
ENROLLMENT AND ADMISSION
How is this Nanodegree program structured?
The Data Scientist Nanodegree program is comprised of content and curriculum to support four (4) projects. We estimate that students can complete the program in four (4) 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.
How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
Can I switch my start date? Can I get a refund?
Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.
TUITION AND TERM OF PROGRAM
What software and versions will I need in this program?
To successfully complete this Nanodegree program, you’ll need to be able to download and run Python 3.7.