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Nanodegree Program

Programming for Data Science with Python

千亿体育appPrepare for a data science career by learning the fundamental data programming tools: Python, SQL, command line, and git.

  • Estimated Time
    3 Months

    At 10 hrs/week

  • Enroll by
    March 24, 2020

    千亿体育appGet access to classroom immediately on enrollment

  • Prerequisites
    None

    See prerequisites in detail

In Collaboration with

What You Will Learn

Download Syllabus
Python Track

Learn to Code in Python and SQL

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.

千亿体育appLearn to code with Python, SQL, Command Line, and Git to solve problems with data.

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3 months to complete

Prerequisite Knowledge

There are no prerequisites for this program, aside from basic computer skills.See detailed requirements.

  • Introduction to SQL

    Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.

    Investigate a Database
  • Introduction to Python Programming

    千亿体育appLearn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.

    Explore US Bikeshare Data
  • Introduction to Version Control

    千亿体育appLearn how to use version control and share your work with other people in the data science industry.

    Post your work on Github
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59%

of companies plan to increase positions requiring data analysis skills.

All Our 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.

Technical千亿体育app mentor support

Our knowledgeable mentors guide your learning and are 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.
Program OfferingsFull list of offerings included:
Enrollment Includes:
Class Content
Content co-created with Mode
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Real-world projects
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Project reviews
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Project feedback from experienced reviewers
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Technical mentor support
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Student community
Improved
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Career services
Personal career coaching
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Interview preparations
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Resume services
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Github review
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LinkedIn profile review
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Resume shared with 95+ employers
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Succeed with Personalized 千亿体育app
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Technical Mentor Support
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 千亿体育app
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Succeed with Personalized 千亿体育app
We provide services customized for your needs at every step of your learning journey to ensure your success!
Project Reviewers
Technical Mentor Support
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 千亿体育app
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve

Learn with the best

Josh Bernhard
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.

Derek Steer
Derek Steer

CEO at Mode

千亿体育appDerek 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.

Juno Lee
Juno Lee

千亿体育appCurriculum 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.

Richard Kalehoff
Richard Kalehoff

Instructor

千亿体育appRichard is a Course Developer with a passion for teaching. He has a degree in computer science, and first worked for a nonprofit doing everything from front end web development, to backend programming, to database and server management.

Karl Krueger
Karl Krueger

千亿体育appCommand Line Instructor

Karl is a Course Developer at Udacity. Before joining Udacity, Karl was a Site Reliability Engineer (SRE) at Google for eight years, building automation and monitoring to keep the world's busiest web services online.

Student Reviews

4.7

(170)

David M A.

千亿体育appI went into this course expecting to learn Python. Having finished the course, I find I have learned a lot more: • Python (in-depth), • Ndarrays, etc. using NumPy, • DataFrames, etc. using Pandas, • Working with many other NoSQL structures • A more powerful SQL language: PostgreSQL • Unix Shell commands • Git Perhaps even more importantly (and unexpectedly), I learned a bunch of really useful techniques to use in the coding world such as: • How to routinely work with other contributors using Git and GitHub, • Using a Shell terminal with Git Bash and Anaconda packages, • Using code editors: Atom and Visual Studio Code, • Using program output to feed Excel charts • Using Excel charts to make compelling Powerpoint slides, • Adding links to Google and Markdown Docs, • How to preview results in real time when writing Markdown docs, • Creating good README.md files and many other best practices The projects were well done and very effective in helping me apply the lessons learned in the course. I especially appreciated the Python project using just under a million real-life records of bikeshare usage data. After looking back and thinking about what I learned, to say that I highly recommend this course would be an understatement! Dave A

Shuaib A.

The SQL/Python/Git and Github lectures were very understandable. The project information in all parts were very understandable and most of the markers gave very good feedback/suggestions for improvement. The community was also quite active at times. Perhaps the mentors in the chatroom were slow to respond, but mostly they gave good advice to solve problems. Feel more comfortable showing off my progress in data analysis/science with the experienced gained from the projects.

Behruz T.

千亿体育appThis has been an experience which I have never felt. The materials and quizs are so awesome. I think youl will see the real power of this Nanodegree program if you have at least a month's experience in programming in general(which you can learn online for free). After that, The Udacity just changes your level of comprehension of programming. It deepens your knowledge as well as sharpen your coding skills making you multiple times better self of yourself!!!

Paul Kojo D.

It is going well. The program is very demanding and well structured. My aim is to become a data scientist and I think this program has given me a solid foundation to begin with. I have not grasp all the concepts in the program totally but will be going back form time to time to have them all done completely. I am now waiting to have the result of the review from my Project submitted whilst continuing with the begining to learn Python.

Alicia B.

I would highly recommend to have a summary of each block at the end of the block. There are blocks that I have to go through all the videos to find out that I'm already familiar with most concept. I would rather have a summary of that block just to have a reminder of the main concepts. Also, the Python block is not very well summarized. It should be improved. The SQL block is really well done, very well synthesized and clear.

Youn K.

I love this program even I don't finished it yet. Before I study in Udacity, I don't know how I study for my job career. Like Coursera, Datacamp, Many of Online study site just tell me about skills about programming tool. But in this program, I can get information about my career, and I separated them into What I have to do. And I also expect about the portfolio I can get from Udacity. Anyway It is good program to start.

Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?

    The Programming for Data Science with Python Nanodegree program offers you the opportunity to learn the most important programming languages used by data scientists today. Get your start into the fascinating field of data science and learn Python, SQL, terminal, and git with the help of experienced instructors.

  • What jobs will this program prepare me for?

    This is an introductory program that is not designed to prepare you for a specific job. However, as a graduate of this program, you will be proficient in the programming skills used in many data analysis and data science roles, including Python, SQL, Terminal, and Git.

  • How do I know if this program is right for me?

    If you are interested in taking the first step into the field of Data Science, this course is for you. This course will quickly teach you the foundational data science programming tools (Python, SQL, Git). This course requires no pre-requisite knowledge so you can get started now. Having mastered these in demand tools you will be able to tackle real world data analysis problems.

    千亿体育appLearning to program Python and SQL, the main programing languages used by data scientists and analysts, is the core of this program. If you decide to take the Programming for Data Science with Python, you’ll also learn specialized data libraries for Python including Pandas and Numpy, and use Git and the Terminal to share your work and learn about version control. By learning these foundational programming skills, you will be ready to advance your career in data.

  • What is the difference between the Python track and the R track?

    千亿体育appWe offer two tracks to this program, one teaching Python and one teaching R. These are both popular among data scientists. You can enroll in one or the other, not both.

    千亿体育appBoth tracks cover the same fundamental concepts, but use a different programming language. The SQL, command line, and Git curriculum is the same in both tracks. This includes the first and third projects, which are the same between the two tracks.

    The programming course and project are different between the two tracks. One course relies on Python, while the other relies on R. The projects for the two courses rely on the same dataset and skills, but they differ in the approach and final deliverable. Learn more about the Programming for Data Science with R Nanodegree program.

  • What is the School of Data Science, and how do I know which program to choose?

    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.

    千亿体育appThe 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 to learn more.

    ENROLLMENT AND ADMISSION
  • 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?

    千亿体育appThere 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 and pasting.

    TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?

    The Programming for Data Science with R Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in three (3) months, working 10 hours per week.

    千亿体育appEach 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 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 Program for policies on enrollment in our programs.

  • I have graduated from the Programming for Data Science with R Nanodegree program and I want to keep learning. Where should I go from here?

    Check out our Data Analyst Nanodegree program to take the programming skills you have learned and apply them to real world Data Analyst business problems. Working on these more complex projects will deepen your knowledge of coding and make you a more attractive candidate to be hired as an data analyst.

    You could also consider the Data Engineer Nanodegree program千亿体育app, which focuses on data models, data warehouses, and data pipelines.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?

    For this Nanodegree program, you will need a 64-bit computer and access to the Internet.

Programming for Data Science with Python

千亿体育appEnroll today, and start putting your skills to work!

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