Search result for Statistics with r specialization Online Courses & Certifications
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Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. In this specialization we assume familiarity with the R programming language....
Big Data, Genes, and Medicine
by Isabelle Bichindaritz- 4.2
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Approx. 40 hours to complete
You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. Working with R...
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. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course. Reading CSVs into R...
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 17 hours to complete
In this course you will learn about the ggplot2 R package, a powerful set of tools for making stunning data graphics that has become the industry standard. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course....
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. 1x: Statistics and R for the Life Sciences...
$149
Advanced Data Visualization with R
by Collin Paschall- 4.8
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Approx. 11 hours to complete
Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. " Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Advanced Figures with ggplot2...
Learn Data Science Deep Learning, Machine Learning NLP & R
by Cinnamon TechX- 4.5
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70.5 hours on-demand video
Learn Data Science, Deep Learning, Machine Learning, Natural Language Processing, R and Python Language with libraries Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results Communicate: Integrate codes, graphs, and outputs to a report with R Markdown or build Shiny apps to share with the world...
$12.99
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R Crash Course - Introduction to R / RStudio / R-programming
by Kate Alison- 4.7
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2.5 hours on-demand video
R Crash Course - a short and concise introduction to R and RStudio, R-programming for the Beginners 'R Crash Course - a short and concise introduction to R and R Studio, R-programming for the Beginners' This is a R crash course for anyone who previously had no or very little contact with script-based programming in R. § Calculate with R...
$9.99
Business Statistics and Analysis Capstone
by Sharad Borle- 4.7
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Approx. 7 hours to complete
The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst....
Statistics for Business - II
by Shankar Venkatagiri- 0.0
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7 Weeks
Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. We incorporate helpful tutorials to get learners acquainted with the platform. To model business phenomena with known random variables such as Binomial, Poisson and Normal...
$50
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