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- 86% Data Mining with R: Go from Beginner to Advanced!

Data Mining with R: Go from Beginner to Advanced!

$94.99 $12.99Track price

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8.0/10 (Our Score)
Product is rated as #54 in category R

This is a “hands–on” business analytics, or data analytics course teaching how to use the popular, no–cost R software to perform dozens of data mining tasks using real data and data mining cases. It teaches critical data analysis, data mining, and predictive analytics skills, including data exploration, data visualization, and data mining skills using one of the most popular business analytics software suites used in industry and government today. The course is structured as a series of dozens of demonstrations of how to perform classification and predictive data mining tasks, including building classification trees, building and training decision trees, using random forests, linear modeling, regression, generalized linear modeling, logistic regression, and many different cluster analysis techniques. The course also trains and instructs on “best practices” for using R software, teaching and demonstrating how to install R software and RStudio, the characteristics of the basic data types and structures in R, as well as how to input data into an R session from the keyboard, from user prompts, or by importing files stored on a computer’s hard drive. All software, slides, data, and R scripts that are performed in the dozens of case–based demonstration video lessons are included in the course materials so students can “take them home” and apply them to their own unique data analysis and mining cases. There are also “hands–on” exercises to perform in each course section to reinforce the learning process. The target audience for the course includes undergraduate and graduate students seeking to acquire employable data analytics skills, as well as practicing predictive analytics professionals seeking to expand their repertoire of data analysis and data mining knowledge and capabilities.

Instructor Details

Dr. Geoffrey Hubona has held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 4 major state universities in the United States since 1993. Currently, he is an associate professor of MIS at Texas A&M International University where he teaches for-credit courses on Business Data Visualization (undergrad), Advanced Programming using R (graduate), and Data Mining and Business Analytics (graduate). In previous academic faculty positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master's and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL; an MA in Economics, also from USF; an MBA in Finance from George Mason University in Fairfax, VA; and a BA in Psychology from the University of Virginia in Charlottesville, VA. He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling.

Specification: Data Mining with R: Go from Beginner to Advanced!

Duration 12 hours
Year 2020
Level All
Certificate Yes
Quizzes No

9 reviews for Data Mining with R: Go from Beginner to Advanced!

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    Vince Mathew

    Great general overview; however, I would like to learn more about how to approach real data where certain data points are missing. Like when to use an average for missing numerical variables or how to use other metrics

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    Maria Caro

    The quality of the audio in the videos could be much better.

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    M Sankar Achari

    This course is good to learn about different statistical models.

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    Shambhavi Singh

    Good quality

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    Kirill Konovalov

    Info and methods of writing the code are updated. Too many explanations are done in answering students’ questions, and 7 minutes is spent on the explanation of attached materials. Probably program is a bit outdated so far.

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    Amit Kumar Vajpai

    Thanks, Dr. Hubuna…just to let you know you transformed my life. I am a student of yours from Georgia R school days.

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    Pooja Dekhane

    Very well explained in simple language.

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    Joan

    Thanks yo Geoffrey, I have made great progress in learning this class. However, since I am a beginner in data mining and machine learning, there is a lot of knowledge that I have no idea theoretically. I hope more theory would be elaborated instead of assuming the learner is advanced in this knowledge.

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    Muha Abdullah Al Pavel

    yes, it is very good so far.

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    Data Mining with R: Go from Beginner to Advanced!
    Data Mining with R: Go from Beginner to Advanced!

    $94.99 $12.99

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