|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-statistics-for-business-and-data-science/
课程评论:没有评论
课程名称:商业与数据科学统计学导论 概述:本课程面向希望利用统计学做出更好商业与数据科学决策的人士。课程涵盖了开始数据科学、商业分析或任何需要使用数据理解世界的领域所需的所有基础概念。课程不要求学员具备先前知识,您只需具备基本的算术能力和学习的欲望,即可从中受益。课程力求使统计学变得易于理解和实用,特别适合对该领域不熟悉或之前没有在商业或数据科学中有过有效使用统计学的人士。 该课程注重实践,重点在于展示如何运用所学技巧。尽可能地,我将教您如何在Microsoft Excel中实施这些技术。课程涵盖的关键概念包括: - 描述性统计学:分析和处理数据所需的基本知识,从平均值、离散程度、相关性到更高级的偏度等测量。 - 数据清洗:现实中常常需要处理杂乱的数据,课程将指导您如何清理数据并使其变得有意义。 - 数据可视化:展示如何有效可视化数据,并逐步教您使用Excel制作美观的可视化图表。 - 概率:教授概率的基本概念,包括条件概率和贝叶斯统计学的入门知识。 如您在学习过程中有任何问题,我会在问答环节中随时为您解答,并努力回答所有学生的问题。希望您喜欢这门课程! 讲师:Woody
This is a course for people who want to use statistics to make better business and data science decisions. In the course I cover all the foundational concepts needed to begin your journey in data science, business analytics, or any area in which you need to use data to understand the world. No prior knowledge of the subject is assumed, and you'll need nothing more than basic arithmetic and a desire to learn to get everything from this course.I make statistics understandable and usable, particularly if you are new to the field, or have not used statistics in a meaningful way in business or data science previously. This is an excellent start!The course is hands on and practical, with a focus on showing you how to use the skills taught. Wherever possible, I show you how to implement the techniques in Microsoft Excel. Key concepts taught in the course include:· Descriptive Statistics - the nuts and bolts needed when analyzing and working with data, from averages to measures of spread and correlation, to more advanced measures such as skew.· Cleaning Data - the world sometimes gives us messy data, and I'll show you how to clean it up and make sense of it.· Visualizing Data - I'll show you all the standard ways to usefully visualize your data, and in each case show you how to use Excel to create beautiful visualizations.· Probability - I'll teach you all the fundamentals of probability, up to and including conditional probability and an intro to Bayesian statistics.As always, if you ever have questions about the content I'm waiting in the Q & A to help you out, and try to answer all my students questions.I really hope you enjoy this course!Woody