{"product_id":"learn-all-about-r-programming-language-9798395275554","title":"Learn all about R (programming language)","description":"\u003cp\u003e • Author(s): Innoware Pjp\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Computers \u0026amp; Technology\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLearn all about R (programming language for statistical computing and graphics)\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eThe book covers the following topics: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e1. Introduction to R\u003c\/b\u003e\u003cbr\u003eBrief history and development of R\u003cbr\u003eInstalling R and RStudio\u003cbr\u003eBasic concepts and features of R \u003cp\u003e\u003c\/p\u003e\u003cb\u003e2. Getting Started with R\u003c\/b\u003e\u003cbr\u003eR syntax and basic operations\u003cbr\u003eVariables, data types, and data structures in R\u003cbr\u003eWorking with vectors, matrices, and arrays\u003cbr\u003eIntroduction to data frames \u003cp\u003e\u003c\/p\u003e\u003cb\u003e3. Data Manipulation and Analysis\u003c\/b\u003e\u003cbr\u003eImporting and exporting data in R\u003cbr\u003eData cleaning and preprocessing\u003cbr\u003eExploratory data analysis\u003cbr\u003eData visualization using base R graphics and packages like ggplot2 \u003cp\u003e\u003c\/p\u003e\u003cb\u003e4. Programming in R\u003c\/b\u003e\u003cbr\u003eControl structures (if-else, loops)\u003cbr\u003eFunctions and their usage\u003cbr\u003eError handling and debugging techniques\u003cbr\u003eWriting efficient and readable code \u003cp\u003e\u003c\/p\u003e\u003cb\u003e5. Statistical Analysis with R\u003c\/b\u003e\u003cbr\u003eDescriptive statistics and summary measures\u003cbr\u003eHypothesis testing and statistical inference\u003cbr\u003eRegression analysis (linear regression, logistic regression)\u003cbr\u003eTime series analysis and forecasting\u003cbr\u003eMultivariate analysis (clustering, factor analysis) \u003cp\u003e\u003c\/p\u003e\u003cb\u003e6. Advanced Topics in R\u003c\/b\u003e\u003cbr\u003eObject-oriented programming in R\u003cbr\u003eCreating and using packages in R\u003cbr\u003eParallel computing and performance optimization\u003cbr\u003eWeb scraping and accessing APIs in R \u003cp\u003e\u003c\/p\u003e\u003cb\u003e7. R for Machine Learning\u003c\/b\u003e\u003cbr\u003eIntroduction to machine learning concepts\u003cbr\u003eSupervised learning (classification, regression)\u003cbr\u003eUnsupervised learning (clustering, dimensionality reduction)\u003cbr\u003eModel evaluation and selection \u003cp\u003e\u003c\/p\u003e\u003cb\u003e8. R for Big Data\u003c\/b\u003e\u003cbr\u003eWorking with large datasets in R\u003cbr\u003eIntroduction to distributed computing frameworks (e.g., Spark)\u003cbr\u003eUsing R for big data analytics \u003cp\u003e\u003c\/p\u003e\u003cb\u003e9. R in Practice\u003c\/b\u003e\u003cbr\u003eCase studies and real-world examples\u003cbr\u003eBest practices for R programming\u003cbr\u003eTips and tricks for efficient R usage \u003cp\u003e\u003c\/p\u003e\u003cb\u003e10. Resources and Next Steps\u003c\/b\u003e\u003cbr\u003eAdditional learning resources (books, websites, online courses)\u003cbr\u003eR community and support forums\u003cbr\u003eAdvanced topics and specialized packages\u003cbr\u003eFuture trends and developments in R","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45542490800279,"sku":"9798395275554","price":2166.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798395275554.webp?v=1768592896","url":"https:\/\/atlanticbooks.com\/products\/learn-all-about-r-programming-language-9798395275554","provider":"Atlantic Books","version":"1.0","type":"link"}