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In the ever-expanding universe of data science, the R programming language stands out as a powerful and increasingly sought-after tool. Companies, research institutions, and recruiters across analytics and data science are actively seeking professionals proficient in R, thanks to its robust processing capabilities, extensive features, and remarkable extensibility. R is a scientific, cross-platform, object-oriented, free, and open-source language, boasting an incredibly active global community of developers and contributors.
The concept of ‘Data Wrangling’ can be loosely translated as the ‘struggle’ or ‘battle’ with data. It’s an integral part of the data transformation process, encompassing data acquisition, transformation, cleaning, aggregation, visualization, and the creation of clean datasets for analytics in Data Science.
‘R na Prática: Data Wrangling com R para Ciência de Dados’ is a meticulously crafted course designed to empower anyone looking to learn, enhance, or update their R skills and excel in extracting knowledge from data. The course adopts a blended approach, seamlessly integrating theory with practical applications in real-world data analysis scenarios. It begins with the fundamental basics of R and then systematically guides learners through the knowledge discovery cycle, from data acquisition to presenting results, with a constant focus on uncovering insights.
Upon completing ‘R na Prática’, you will gain mastery over a range of essential R concepts, including operators, sequences, functions, loops, the apply family, and various graphing systems like base R, lattice, and ggplot2. You’ll become adept at data aggregation, transformation, descriptive statistics, and frequency tables. The course will equip you with the ability to write optimized R code using the modern pipe operator ‘%>%’ and the powerful tidyverse packages.
Furthermore, you will gain a comprehensive understanding of the knowledge discovery process from data, covering the entire analysis cycle: problem analysis, data acquisition, preparation, analysis, visualization, and communication of results using R Markdown. The course also prepares you to tackle case studies and solve real-world data problems.
To solidify your learning and day-to-day application, the course provides extensive reference material, including code samples and example datasets for all video lessons. This comprehensive package is designed to provide a clear learning path, ensuring your journey with R and its applications is both gradual and continuous.
If you’re serious about advancing your career in data science and want to master the art of data wrangling with R, this course is a highly recommended starting point.
Enroll Course: https://www.udemy.com/course/r-na-pratica-ciencia-de-dados/