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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-and-statistics-for-environmental-professionals/
课程评论：没有评论
课程名称：环境专业人员的数据科学与统计学 课程概述： 本课程旨在帮助环境专业人员提升数据管理技能，解释数据科学和统计学在环境数据管理中的重要性，以便在分析数据集时能够得出最佳结论。如果你在环境领域工作，想要了解数据科学和统计学的基本概念，开展环境数据分析与管理咨询，这就是适合你的课程。 主要学习内容包括： - 数据科学和统计学的基础概念及其有效使用。 - 探索性数据分析技术的应用，帮助构建数据故事。 - 环境数据管理的基本原则和方法，奠定评估和分析数据集的基础。 课程将鼓励学生学习和使用多种评估数据并提取相关信息的软件与工具，如R语言、Pro UCL、Visual Sampling Plan、Excel、MAROS、GWSDAT、Minitab等。尽管课程不会详细介绍这些软件，学员可根据自己的舒适度选择最合适的工具以提升相关技能。 当前，掌握数据科学和统计学技能在数据管理中的重要性体现在以下两点： 1. 大数据：日益增长的数据生成与收集，要求专业人员能够有效评估和解释复杂的数据。 2. 职业发展：数据科学和统计学是市场上最受欢迎的领域之一，拥有这些技能的环境专业人员在职业市场上更具竞争力。 总之，本课程结合解释、示例和实际操作练习，帮助环境专业人士在环境数据管理活动中应用数据科学和统计学。
Are you an environmental professional interested in improving your Data Management skills?This course explains the importance to understand Data Science and Statistics concepts for environmental data management and help environmental professionals to draw the best conclusions when analyzing any data set.This is your course if you work in the environmental field and want to take your first steps with the Data Science and Statistics and:You want to learn the basics concepts of data science and statistics and how to use them effectively.You want to carry out environmental consulting in the field of environmental data analyzes and management.You want to learn how to use Exploratory Data Analysis techniques to help in the Data Storytelling process.In this course, you will learn the fundamentals principles and concepts of Environmental Data Management using data science and statistical methods and techniques, this will help you to understand the first steps needed when evaluating and analyzing your data set.To achieve that, you will be encouraged to learn and use software, languages and tools used to evaluate data and extract relevant information out of it, such as:R for statisticsPro UCL, from EPAVisual Sampling PlanExcelMAROSGWSDATMinitabEtc.The software mentioned above will not be explained in details, on the other hand, throughout the course the students will be stimulate to use the tool(s) that they fell more confortable with, in order to develop their skills in the tools that make more sense for each one. Currently, developing these skills of data science statistics to manage your data are important because:Big Data: every day the generation and collection of data in every field, including the environmental field, are huge in volume, and it is still growing with time. The amount and complexity of data generated need competent professionals to assess and interpret it effectively.Career Improvement: the field of data science and statistics are some of the most popular in the market today, so environmental professionals with these skills are one step ahead.In summary, the course presents explanations and examples, as well as hands-on exercises for the implementation of Data Science and Statistics to be used in the Environmental Data Management activities of professionals.
