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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-programming-beginners/
课程评论：没有评论
课程名称：R编程：数据科学与数据分析A-Z 课程概述：数据分析是当前科技市场中最受欢迎的职业之一。根据Glassdoor和世界经济论坛的预测，数据科学家的需求在未来几年将持续增加。我们每天从社交媒体、医疗保健、传感器数据等各种领域生成大量数据，而R编程是一个强大的工具，广泛用于数据分析和统计计算。R语言是完全免费的，并且拥有丰富的包库。 在本课程中，您将首先学习如何安装R并开始编程，了解编程结构和函数。课程涵盖了探索性数据分析（EDA）、数据预处理和建模过程的所有步骤。在EDA部分，您将学习如何导入数据集并从中创建数据框，然后使用不同的图形可视化变量，从而获得数据点的初步结构。在数据预处理部分，您将全面了解缺失值和异常值的处理以及数据拆分方法。最后，您将能够使用线性回归和逻辑回归生成机器学习模型。 该课程为完全没有编程经验的初学者或希望转向数据科学的有经验开发者所设计。
R programming for Data Science and Data Analytics:Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years. We are generating huge data every day from different domains like Social Media, Healthcare, Sensor data… we have a great tool to analyze them and the tool is R. R programming is a powerful language used widely for data analysis and statistical computing. It is completely free and has rich repositories for packages.In this course first, you will learn how to install R and start programming on it. It will also help you to know the programming structures and functions. This R programming in Data Science and Data Analytics covers all the steps of Exploratory data analysis, Data pre-processing, and Modelling process. In EDA sections you will learn how to import data sets and create data frames from it. Then it will help you to visualize the variables using different plots. It will give you an initial structure of your data points. In Data pre-processing sections you will get the full idea of Missing value & outliers treatment and data split methods. Finally, you will be able to generate machine learning models using Linear and Logistic Regression.This R programming for data science and data analytics is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!
