R: Data Analysis with R – Step-by-Step Tutorial!: 3-in-1
$84.99 Track price
Are you looking forward to get well versed with classifying and clustering data with R? Then this is the perfect course for you!
There’s an increase in the number of data being produced every day which has led to the demand for skilled professionals who can analyze these data and make decisions. R is a programming language and environment used in statistical computing, data analytics and scientific research. Due to its expressive syntax and easy–to–use interface, it has grown in popularity in recent years.
This comprehensive 3–in–1 course takes a practical and incremental approach. Analyze and manage large volumes of data using advanced techniques. Attain a greater understanding of the fundamentals of applied statistics. Load, manipulate, and analyze data from different sources! Develop decision tree model for classification and prediction. Know how to use hierarchical cluster analysis using visualization methods such as Dendrogram and Silhouette plots!
Contents and Overview
This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Learn R programming, covers R programming to create data structures and perform extensive statistical data analysis and synthesis. You’ll work with powerful R tools and techniques. Boost your productivity with the most popular R packages and tackle data structures such as matrices, lists, and factors. Create vectors, handle variables, and perform other core functions. You’ll be able to tackle issues with data input/output and will learn to work with strings and dates. Explore more advanced concepts such as metaprogramming with R and functional programming. Finally, you’ll learn to tackle issues while working with databases and data manipulation.
Courses : 212
Specification: R: Data Analysis with R – Step-by-Step Tutorial!: 3-in-1
2 reviews for R: Data Analysis with R – Step-by-Step Tutorial!: 3-in-1
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Alessandra Analu Moreira da Silva –
Muito boa. S apresentou algumas vezes problemas na imagem que n o ficou n tida quando estavam mostrando os c digos.
It is a good course, but still have a little bit problem need to improve. Firstly, since the second part of this course, clustering data, the professor got very heavy accent that sometimes I need to see subtitle to help me understand. But the subtitle is not accurate in some parts, even I can hear it’s not right. Hence, I think it’s better to fix that. Secondly, I feel like this course is suppose to add small part between section 1 and section 2, for section 2 have lots of functions I didn’t learn from section 1, which make it more difficult to understand. Therefore, I hope can add that part to let us know section 2 functions first.