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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-r-programming/
课程评论：没有评论
**Coursera课程总结：R语言数据科学训练营** 本课程“R语言数据科学训练营”将带领学员全面掌握数据科学项目的开发流程。数据科学作为一个跨学科领域，融合了统计学、计算机科学、领域知识和数据分析技术，旨在从结构化和非结构化数据中提取有价值的洞察和知识。 在当今时代，数据科学因其对商业、研究和决策制定的变革性影响而至关重要。它使组织能够基于数据分析做出明智的决策，从而提高准确性和效率。 本课程将涵盖数据收集、数据清洗、数据可视化、统计学的重要性以及机器学习等关键主题。课程将全程使用R语言作为开发工具。R是一种专为统计计算和图形设计而生的开源编程语言和环境，被统计学家、数据科学家、研究人员和分析师广泛应用于数据分析、统计建模和可视化。R拥有丰富的软件包和库，极大地扩展了其功能，涵盖从机器学习、数据处理到生物信息学和金融等众多领域。 准备好通过R语言，踏上数据科学之旅吧！
Data science is a multidisciplinary field that uses a combination of techniques, algorithms, processes, and systems to extract meaningful insights and knowledge from structured and unstructured data. Data science is of significant importance in today's world due to its transformative impact on various aspects of business, research, and decision-making. It incorporates elements of statistics, computer science, domain expertise, and data analysis to analyse and interpret complex data. Data science enables organizations to make informed decisions based on data analysis rather than relying solely on intuition or experience. This leads to more accurate and effective decision-making processes. During this course, students will learn the entire process of developing a data science project. During this course, students will learn the nuances of Data science, data collection, data cleaning, data visualization, Significance of statistics and Machine learning etc. We will be using r programming language to develop data pipelines. R is a programming language and environment specifically designed for statistical computing and graphics. It is open-source and widely used by statisticians, data scientists, researchers, and analysts for data analysis, statistical modelling, and visualization. R has a rich ecosystem of packages and libraries that extend its functionality. These packages cover a wide range of domains, from machine learning and data manipulation to bioinformatics and finance. So, let's buckle up!!!
