Data science with R: tidyverse

Partner: Udemy
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Description: Data Science skills are still one of the most in-demand skills on the job market today. Many people see only the fun part of data science, tasks like:  "search for data insight", "reveal the hidden truth behind the data", "build predictive models", "apply machine learning algorithms", and so on. The reality, which is known to most data scientists, is, that when you deal with real data, the most time-consuming operations of any data science project are: "data importing", "data cleaning", "data wrangling", "data exploring" and so on. So it is necessary to have an adequate tool for addressing given data-related tasks. What if I say, there is a freely accessible tool, that falls into the provided description above! R is one of the most in-demand programming languages when it comes to applied statistics, data science, data exploration, etc. If you combine R with R's collection of libraries called tidyverse, you get one of the deadliest tools, which was designed for data science-related tasks. All tidyverse libraries share a unique philosophy, grammar, and data types. Therefore libraries can be used side by side, and enable you to write efficient and more optimized R code, which will help you finish projects faster.This course includes several chapters, each chapter introduces different aspects of data-related tasks, with the proper tidyverse tool to help you deal with a given task. Also, the course brings to the table <stron
Category: Development > Data Science > Data Science
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Price: 84.99
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Source: Impact
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