At 10 hrs/week
Get access to classroom immediately on enrollment
You should have experience working with Python (specifically Numpy and Pandas) and SQL.See detailed requirements.
Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. 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 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 to use Python to wrangle data programmatically and prepare it for 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
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.
As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.
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.
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.
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.
Data Analyst Instructor
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 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.
Folks, it's hard to say enough good things about this degree program. The instruction is excellent and the topic curation is very solid. It's modern, clean looking, with high quality sound and visuals. And the flexible structure is so appreciated - the problem sets and quizes are there for me as useful structure and interactivity. But I'm not shackled by them - I can choose to blast through a lesson's lectures when I would rather apply the concepts on my own terms. It's great to see the Udacity staff is actively improving the offering - after I started the degree, the staff switched out one of the clumsier modules for a shiny new Numpy/Pandas primer (P2) - don't miss it. I've found that bringing in other sources (for me: Introduction to Statistical Learning, various books from O'Reilly) is required for truly learning this stuff. And if you're like me, coming in with a minimal programming background, be prepared to debug code constantly with dozens of daily visits to Stack Overflow and python/R docs. If anything, nine months part time is an aggressive timeline, especially if you're complementing each topic with other learning sources and trying to apply them in real time to your own field. Get ready to tap your inner love of learning, because you'll need some serious persistence to tackle this Nanodegree decisively. Good luck!
So far, the program is going really well, beyond my expectations! :D I'm really learning a lot about Data Science, I feel a lot more confident about working with Python (Pandas/Numpy) and R, for instance. Besides that, many of the concepts related to the whole Data Science process - Data Wranglig, EDA, Data Visualization, Machine Learning, Statistics - and the process itself started to make sense! The Nanodegree provided me knowledge I'm currently using in my job, and I could venture to say that if wasn't for this course, I wouldn't be able to be working in this position today. Furthermore, maybe that is not entirely related with the Nanodegree, but Udacity enabled me meeting a lot of interesting people that are here willing to share knowledge and give support. The mentorship program is awesome! Christian Burkhart (my mentor) really made a change to this experience! I'm learning a lot, and that is great! I've already stretched out a lot, but I would like to point out that this work that Udacity is doing of trying to bring its students closer to the market is amazing, I already improved in a way that I changed my behaviour and I took all of the advices related to professional growth and I feel that it is already causing a huge impact in my career path. Keep up with the hard work! #udacious
I simply am short of words to praise you guys. You have opened a whole new world to me which I didn't see before. I feel so motivated every passing day and cannot wait to start applying my newly learnt skills in a related field. This course made me realize that life is not about getting saturated with what you know the best, but it's about getting out of your comfort zone and start learning new things everyday until you die. I have got a whole life's worth of motivation apart from the intense skill set you guys gave me and I promise to learn something new every day. Just one request, I know the day when you guys spread all over the world and convey this immensely effective teaching style everywhere is not so far away, but please get well established in India first. I get calls for interviews so often and I get so disappointed when I say the name Udacity and the person I am talking to says he/she has never heard of it! Please please make sure the next person I talk to has not only heard of your name but also your name got etched all over that person! You really deserve that Udacity! Love you! Planning to take your machine learning engineering course very soon! I am sure that will be as awesome as this!
Overall, I enjoyed the nanodegree experience. Here are some pros: 1. The project reviewers were fast, positive, and encouraging. 2. I learned unexpected things. For example, I had no previous experience with D3 and found it to be quite fun. 3. The projects forced me to get coding and helped me build confidence. I have to mention a few cons too. 1. The projects rarely meet specifications on the first attempt. Even after closely following the rubrics, I usually had to change some small things to have my project meet specifications. It often felt nit-picky. 2. The quality of the courses varies. Some were a delight to go through while others were more of a slog. I suppose this could apply to any educational experience though. 3. I was suprised that 'big data' was not much of a topic in any courses. I have one recommendation for incoming students: know how you will share your projects before starting them. I was not familiar with how to share projects on Github or Kaggle, so I did not organize my projects in a way that makes it easy to share on those platforms.
I was so glad the Nanodegree challenged me! This is a wonderful program that has given me new skills that are applicable in the marketplace. I can use the individual projects in my resume. What better way to illustrate to my prospective employer what skills I have acquired. Not showing them I can make A's on exams but rather showing them I can actually perform the activities/analysis they are searching for candidates to do. I must say this about the Nanodegree - be ready to find the answers on your own, as there is nobody around to just give you the answers. There are forums from the past that provide some help, but essentially you're on your own - which is what happens in the real world. You'll learn how to find the answers (or something close that can be adapted to your particular situation) on the internet. Also the mentors Udacity provides are very encouraging and provide moral support - but you won't be able to lean on them for answers either. Like I said it's a challenge - but I know you wouldn't have it any other way!
It really is fantastic. When I originally chose my path just after high school I didn't realise I was going into a declining field and that the digital revolution was about to change things so much. For a while programming and ticking the necessary boxes to break into this field was very much inside knowledge and Udacity has done a great job of making the technical as well as practical steps available to those who might not have been programming since they were eight. Also, the mix of videos and hands on as well as the forum make you feel part of something. The webcasts too. The content is fantastic, there are many curated links. I use the forum a lot, have not yet used the one-on-one appointments but it is very nice to know they are there in case the need truly arises one day. In the past I had some brief learning experiences with other online course providers but can clearly say that this course is definitely a step above anything I tried before.
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.
The Data Analyst Nanodegree program offers you the opportunity to master data skills that are in demand by top employers, such as Python and Statistics. By the end of the program you will have created a portfolio of work demonstrating your ability to solve complex data problems. After graduating, you will have the skills needed to join a large corporation or a small firm, or even go independent as a freelance data analyst.
You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data field. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful career in data, and land a job you love.
Graduates will be well prepared to fill a wide array of data related roles. These include: Data Analyst, Analytics Consultant, Product Manager, and Management Consultant.
If you're someone who wants to make data driven decisions or work with various types of data to conduct analyses, or is interested in becoming an data analyst, this program is ideal for you, because you'll learn applied statistics, data wrangling with Python, and data visualization with Matplotlib, which will enable you to work with any data set and find and showcase meaningful insights. This will qualify you for roles such as a Data Analyst and Analytics Consultant. You'll need to have some experience with python and pandas to succeed in this program, and if that's you, and you're ready to apply those skills to real world projects, then we encourage you to enroll today.
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.
In order to succeed in this program, we recommend having the following experience:
You should also be able to read and write in English.
The Data Analyst Nanodegree program is comprised of content and curriculum to support five (5) 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 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
Please see the Udacity Nanodegree program FAQs for policies on enrollment in our programs.
Check out our Data Scientist Nanodegree program to take the concepts you have learned in Data Analyst and build upon them using machine learning and neural networks. Learning these advanced concepts will not only enhance your knowledge it will make you a more attractive candidate to be hired as an analyst or data scientist.
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 career roles like Business Analyst, Data Analyst, Data Scientist, and Data Engineer.
The School of Data currently offers three clearly-defined career paths in Business Analytics, Data Science, and Data Engineering. 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.
For this Nanodegree program you will need access to the Internet, and a 64 bit computer.
Additional software such as Python and its common data analysis libraries (e.g., Numpy and Pandas) will be required, but the program will guide students on how to download once the course has begun.