Search result for Indexing data frame in r Online Courses & Certifications
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Data Science and Machine Learning with R and Python
by Ankita khanna- 3
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6 hours on-demand video
Data science,Machine Learning,Data visualization with R and Python using real world examples. Data visualization in R-Bar graphs,Stacked bar,grouped bar graph Data Visualization in R Data Visualization in R-Line chart for time series data,Box plot to calculate mean, median, min ,max ,3rd quartile and 1st quartile values Association Analysis in R using Market Basket analysis...
$12.99
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
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Approx. 37 hours to complete
You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Working with data in R Data in R Test your knowledge on data visualizations in R Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors...
R Programming Certification Training: 2020 Edition
by Uplatz Training- 4.6
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21 hours on-demand video
Data types in R R programs for Variables and Data types in RStudio Data Structure in R (part-I) R Programs for data frame in RStudio Data and File Management in R Data Structure in R Data Frames and R Programs for Data Frame in RStudio Data and File Management in R...
$11.99
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources. This course introduces the Tidyverse tools for importing data into R so that it can be prepared for analysis, visualization, and modeling. Importing (and Exporting) Data in R Exporting Data from R...
Data Science: R Basics
by Rafael Irizarry- 0.0
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8 Weeks
The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. Basic R syntax Foundational R programming concepts such as data types, vectors arithmetic, and indexing How to perform operations in R including sorting, data wrangling using dplyr, and making plots...
$149
Python Data Science basics with Numpy, Pandas and Matplotlib
by Abhilash Nelson- 4
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6.5 hours on-demand video
Then we will proceed with basic data structures in python like Lists tuples and set. And after learning all of these basic data types and data structures, its time for us to proceed with the popular libraries for data-science in python. We will see sorting and indexing operations for data frames....
$11.99
R Programming Hands-on Specialization for Data Science (Lv1)
by Irfan Elahi- 3.8
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11 hours on-demand video
Candidates with expertise in R programming language are in exceedingly high demand and paid lucratively in Data Science. To be proficient in R for Data Science requires thorough understanding of R programming constructs, data structures and none of the available courses cover them with the comprehensiveness and depth that each topic deserves. Learn and use Atomic Data Types in R...
$12.99
R Programming Basics for Data Science
by Yan Luo- 0.0
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5 Weeks
The R language plays a critical role in data analysis and a common programming language when working in the field of data science & analytics. You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to produce data-driven insights....
$99
Introduction to R Programming for Data Science
by Yan Luo- 4.8
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Approx. 10 hours to complete
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. Writing and Running R in Jupyter Notebooks...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
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Approx. 17 hours to complete
This course provides an introduction to basic data science techniques using Python. Students will gain skills in data aggregation and summarization, as well as basic data visualization. Coding demonstration : Catching data errors and sorting Querying data using boolean indexing Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization...
