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Courses>Programming Languages>Python for R Users
Data SciencePython for R Users
Price:Paid
Length:5 Hours
Language:English
Content type:video
level:all levels
Updated:21 February 2024
Published:13 September 2022
Similar courses
Opportunities
Courses>Programming Languages>Python for R Users
Python for R Users
5 Hours
11925 students
Syllabus
Learn about some of the most important data types (integers, floats, strings, and booleans) and data structures (lists, dictionaries, numpy arrays, and pandas DataFrames) in Python and how they compare to the ones in R.
This chapter covers control flow statements (if-else if-else), for loops and shows you how to write your own functions in Python!
In this chapter you will learn more about one of the most important Python libraries, Pandas. In addition to DataFrames, pandas provides several data manipulation functions and methods.
You will learn about the rich ecosystem of visualization libraries in Python. This chapter covers matplotlib, the core visualization library in Python along with the pandas and seaborn libraries.
As a final capstone, you will apply your Python skills on the NYC Flights 2013 dataset.
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Make the most out of your online education
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Careertail
Courses>Programming Languages>Python for R Users
Data SciencePython for R Users
Price:Paid
Length:5 Hours
Language:English
Content type:video
level:all levels
Updated:21 February 2024
Published:13 September 2022
Similar courses
Opportunities
Courses>Programming Languages>Python for R Users
Python for R Users
5 Hours
11925 students
Syllabus
Learn about some of the most important data types (integers, floats, strings, and booleans) and data structures (lists, dictionaries, numpy arrays, and pandas DataFrames) in Python and how they compare to the ones in R.
This chapter covers control flow statements (if-else if-else), for loops and shows you how to write your own functions in Python!
In this chapter you will learn more about one of the most important Python libraries, Pandas. In addition to DataFrames, pandas provides several data manipulation functions and methods.
You will learn about the rich ecosystem of visualization libraries in Python. This chapter covers matplotlib, the core visualization library in Python along with the pandas and seaborn libraries.
As a final capstone, you will apply your Python skills on the NYC Flights 2013 dataset.
Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot