[Udacity] Programming for Data Science v1.0.0
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Programming for Data Science
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.
ESTIMATED TIME 3 Months At 10 hrs/week
ENROLL BY May 22, 2019
Get access to classroom immediately on enrollment
PREREQUISITES None
IN COLLABORATION WITH
Choose your track
Python 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.
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 DATABASEIntroduction 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.
EXPLORE US BIKESHARE DATAIntroduction to Version Control
Learn how to use version control and share your work with other people in the data science industry.
POST YOUR WORK ON GITHUB
NEED TO PREPARE?
If you are brand new to data, try out Udacity’s Business Analytics Nanodegree program.
59%
of companies plan to increase positions requiring data analysis skills.
R Track
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.
SEE DETAILS
3 months to complete
All our Nanodegree programs include:
Real-world projects from industry experts
1-on-1 technical mentor
Personal career coach and career services
Flexible learning program
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.
Derek Steer
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.
Juno Lee
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.
Richard Kalehoff
INSTRUCTOR
Richard 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
COMMAND 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.
GET STARTED WITH
Programming for Data Science with Python
LEARN
AVERAGE TIME
BENEFITS INCLUDE
- Real-world projects from industry experts
- 1-on-1 technical mentor
- Personal career coach & career services
GET STARTED WITH
Programming for Data Science with R
LEARN
AVERAGE TIME
BENEFITS INCLUDE
- Real-world projects from industry experts
- 1-on-1 technical mentor
- Personal career coach & career services
Size: 2.21 GB
https://www.udacity.com/course/programming-for-data-science-nanodegree–nd104.
Could you please put the spreadsheet for using in this course?