Udacity - Programming for Data Science v1 0 0

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Udacity - Programming for Data Science v1 0 0
English | Size: 2.21 GB
Category: Tutorial

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.

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.

Udacity - Programming for Data Science v1 0 0
English | Size: 2.21 GB
Category: Tutorial

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.

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 DATABASE

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.

EXPLORE US BIKESHARE DATA

Introduction to Version Control

Learn how to use version control and share your work with other people in the data science industry.

If you are brand new to data, try out Udacity's Business Analytics Nanodegree program.

Icon - Dark upwards trend arrow

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.

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