![]() At ProjectPro, our project experts often get questions from prospective learners about what they should learn, Python or R? Which is better for data science, R or Python? You are on the right page if you are still determining which programming language to learn first. Python is popular as a general-purpose programming language, whereas R is popular for its great features, such as data visualization and statistical computing. Difference Between R and Python in Tabular Form.Why is Python Better than R for Data Science?.R Programming for Data Science : Key Differences Data Science with R Programming Language.Data Science with Python Programming Language.The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. Rather than covering every R skill you might need, you’ll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data. We’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You will learn the R skills needed to answer essential questions about differences in crime across the different states. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. ![]()
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