Programming for Data Science with Python

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.

  Learning 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?

  We 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.

  Both 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.

  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.

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?

  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 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.

  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 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 Program FAQs 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, 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.