R Programming Fundamentals: Deal with data using various modeling techniques
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R Programming Fundamentals: Deal with data using various modeling techniques
Explore statistical concepts and programming in R, including best practices
R Programming Fundamentals: Deal with data using various modeling techniques
Preces #: 22876222

R Programming Fundamentals: Deal with data using various modeling techniques

90% of respondents would recommend this to a friend

Preces #: 22876222

€ 51

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Explore statistical concepts and programming in R, including best practices
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What Stands Out

Comprehensive Curriculum
Offers in-depth training on R programming fundamentals, covering data manipulation, statistical modeling, and visualization techniques suitable for beginners and data enthusiasts alike.
Hands-On Approach
Provides practical exercises and real-world examples, enabling learners to apply modeling techniques on diverse datasets, enhancing retention and skill development effectively.
Expert Guidance
Includes access to experienced instructors and community support, ensuring learners receive assistance and insights, promoting confidence in using R for data analysis.

Produkta informācija

Learn the essentials of R Programming and master data handling with powerful modeling techniques. Shop now on Ubuy Latvia.
  • Learn the basics of R programming, including data cleaning methods
  • Explore statistical concepts and programming in R, including best practices
  • Build a data science project using real-world examples
  • Import data from various formats and handle missing values
  • Create statistical summary and advanced plots using ggplot2
  • Apply data management techniques like factoring, merging, and aggregating
Publisher Packt Publishing
Publication date September 27, 2018
Language English
Print length 206 pages
ISBN-10 1789612993
ISBN-13 978-1789612998
Item Weight 12.8 ounces (362.88 grams)
Dimensions 7.5 x 0.47 x 9.25 inches (19.1 x 1.2 x 23.5 cm)

Who Should Buy?

Suitable For
  • Beginners in Data Science

    Ideal for newcomers to R programming looking to understand data manipulation and modeling techniques effectively.

  • Analysts Needing Skills

    Perfect for analysts seeking to enhance their technical skills in statistical modeling and data analysis using R.

  • Students in Academia

    A great resource for students studying data science or statistics who require practical insights into R modeling.

Not Suitable For
  • Advanced Programmers

    Not suitable for experienced R programmers seeking advanced or niche topics beyond fundamental modeling techniques.

PRODUKTA APRAKSTS

R Programming Fundamentals: Deal with data using various modeling techniques

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Pros

  • Clear and concise explanations
  • Hands-on modeling techniques
  • Great for beginners
  • Engaging examples
  • Comprehensive coverage of topics

Mīnusi

  • Some advanced topics may require extra research.

Product Price History

Svarīga informācija

  • Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
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€ 51

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Funkcijas un priekšrocības

  • Learn R programming fundamentals and the R ecosystem
  • Understand how to set up R and RStudio
  • Study data visualization and graphics using the ggplot2 library
  • Become proficient in data cleaning and management techniques
  • Build a data science project from start to finish
  • Ideal for analysts looking to grow in the field of data science

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