Python vs. R
Python vs. R
What you’ll learn
Skills you’ll gain
Python and R are common programming languages used when working with data. While each language is powerful in its own way, it's important to use the language that will help you achieve your end result most effectively. In this course, taught by expert data scientist and coding instructor Lavanya Vijayan, you'll learn the important considerations for using each language in various circumstances. Lavanya starts by giving you background on both languages, as well as the key aspects of each language that create its strengths and disadvantages in different scenarios. She then walks you through the process of working on a data science project, and how you'd handle the data at various stages using both Python and R. you'll also discover how to analyze data using both languages, and examine the use-cases that play to each language's strengths. By the end of this course, you should feel confident in your ability to discern the best programming language to use between Python and R.
Syllabus
Download syllabus-
1
Working with programming languages There are specific programming languages that play nicely in the context of the data science world. 2m
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2
Using Python Using Python when working on data science projects can be a valuable tool. 3m
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3
Using R R is a helpful analytics language for working in the data science world. 2m
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4
Comparing Python and R Python and R are both valuable languages to use when tackling a data science initiative. 2m
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1
Data loading When loading your data, the method you will use depends on the type of data file you have and the programming language you're working in. 2m
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2
Data exploration There are different approaches to data exploration depending on which programming language you are using. 4m
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3
Data cleaning and manipulation Python and R can both be extremely valuable to use when cleaning and manipulating your data. 5m
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4
Data visualization Visualizing your data is a crucial aspect of discovering and communicating trends captured by your data, so it's necessary to carry out the right steps to create visualizations. 3m
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1
Data analysis in R There are many strategies for conducting data analysis in R. 2m
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2
Data analysis in Python Python can be a very useful language to perform data analysis. 1m
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1
Data science applications with Python There are several common applications of Python in which it's the better tool to use. 4m
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2
Data science applications with R There are applications of R in which it's the better language to use for data science projects. 2m
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1
Unlocking data analysis in Python or R Now that you've finished this course, you should feel armed to determine which programming language to use and when to use them in different scenarios. 1m
Certificate
Certificate of Completion
Awarded upon successful completion of the course.
Instructor
Lavanya Vijayan
Lavanya Vijayan is a Technical Curriculum Architect and Data Science Instructor at Madecraft. Lavanya has authored several programming and data science courses for LinkedIn Learning. She has also developed technical curriculum for Google’s Advanced Data Analytics and Cybersecurity career certifications.
Lavanya has a Master’s degree in Information and Data Science from UC Berkeley.
Lavanya Vijayan
Technical Curriculum Architect and Data Science Instructor
Accreditations
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