UDACITY - Programming for Data Science Nanodegree Program Full Course Free Learn Online

UDACITY - Programming for Data Science Nanodegree Program Full Course Free Learn Online 2019-05-25

Udacity - Programming for Data Science
Nanodegree Program
udacity programming for data science nanodegree

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Prepare for a data science career by learning the fundamental data programming tools: Python or R, SQL, command line, and git. Choose to enroll in either the Python or R track.


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.

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.

    PROJECT
    Investigate a Database
    In this project, you’ll work with a relational database while working with PostgreSQL. You’ll complete the entire data analysis process, starting by posing a question, running appropriate SQL queries to answer your questions, and finishing by sharing your findings.

  • Introduction to Python Programming
    Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.
    PROJECT
    Explore US Bikeshare Data
    You will use Python to answer analytical questions about bikeshare trip data collected from three US cities. You will write code to collect the data, compute descriptive statistics, and create an interactive experience in the terminal that presents the answers to your questions.
  • Introduction to Version Control
    Learn how to use version control and share your work with other people in the data science industry.
    PROJECT
    Post your work on Github

    In this project, you will learn important tools that all programmers use. First, you’ll get an introduction to working in the terminal. Next, you’ll learn to use git and Github to manage versions of a program and collaborate with others on programming projects. You will post two different versions of a Jupyter Notebook capturing your learnings from the course, and add commits to your project Git repository.

R TRACK
Learn to Code in R 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 R, SQL, Command Line, and Git.
  • Introduction to SQL
    Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.

  • Introduction to R Programming
    Learn R programming fundamentals such as data structures, variables, loops, and functions. Learn to visualize data in the popular data visualization library ggplot2.
  • Introduction to Version Control
    Learn how to use version control and share your work with other people in the data science industry.
The Programming for Data Science 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 or R, SQL, terminal, and git with the help of experienced instructors.

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 or R, SQL, Terminal, and Git.


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 or R, 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 or R 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. See the syllabus above for more details.

data science nanodegreee udacity

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