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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistical-thinking-for-data-science-business-analytics/
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课程名称：R语言的统计思维与数据科学 课程概述： 在这门课程中，您不仅可以学习R语言，还将了解如何利用统计学和机器学习做出决策。自从我从Excel转向R以来，我已经没有回头过。这六年来，我在采购领域工作，与大学讲授，培训了超过2000名专业人士，最后建立了自己的咨询公司。我非常兴奋能够与您分享这门课程。我的目标是让每位学员都能成为R语言、统计思维和机器学习的专家。我将我学到的所有技术都整合到了这个数据科学课程中。 课程结束时，您将能够： - 从零基础学习R语言。 - 理解概率、随机实验、随机变量和样本空间。 - 检测数据中的异常值。 - 利用统计学和数据提高资源的效率。 - 测试不同供应商产品质量的假设。 - 比较不同营销活动的效果。 - 评估最后一次促销对销售增长的影响。 - 模拟预期收入。 - 建立用于分类和回归的机器学习模型。 - 理解逻辑回归模型的对数几率、几率比和概率。 - 选择合适的可视化方法处理分类和连续数据。 - 捕捉不确定性及数据的最佳分布。 - 应用机器学习解决具体问题。 本课程特别适合金融、市场营销、供应链、产品开发和数据科学领域的从业人员，建立扎实的统计背景对您的职业发展至关重要。虽然学习R不是本课程的主要目标，但我们将通过深入掌握统计概念来自然地学习R语言。 课程特点： - 实用性强 - 高度分析性 - 配备丰富的测验和作业 - 包含Excel教程 - 提供R脚本和教程 - 易于理解和跟随 - 重实践，避免无趣的讲座 - 内容全面，以数据为驱动 - 引入统计R语言及ggplot的可视化技巧 - 教会如何清洗、转换和处理数据 期待在课程中与您见面！Haytham
Update: Machine Learning with tidy models is included in the last Chapter.(August 2023)not only you learn R in this course, but you also learn how to use statistics and machine learning to make decisions!It's been six years since I moved from Excel to R and since then I have never looked back! With eleven years between working in Procurement, lecturing in universities, training over 2000 professionals in supply chain and data science with R and python, and finally opening my own business in consulting for two years now. I am extremely excited to share with you this course. My goal is that all of you become experts in R, statistical thinking, and Machine learning. I have put all the techniques I have learned and practiced in this one sweet bundle of data science with R.By the end of this course you will be able to:Learn R from scratch.What are probabilities? random experiments, random variables, and sample space?How can we detect the outliers in data?.How can we make our resources efficient using statistics and data?How can we test a hypothesis that a supplier is providing better products than another supplier?How can we test the hypothesis that a marketing campaign is significantly better than another marketing campaign?What is the effect of the last promotion on the increase in sales?How can we make simulations to understand what is the expected revenue coming from a business?how can we build machine learning models for classification and regression using statistics?what are the log odds, odds ratio, and probabilities produced from logistic regression models?What is the right visualization for categorical and continuous data?How to Capture uncertainty with Distributions? What is the right distribution that fits the data best?Apply machine learning to solve problems.Do you face one of these questions regularly? well then, this course will serve as a guide for you.Statistics & Probabilities are the driving force for many of the business decisions we make every day. if you are working in finance, marketing, supply chain, product development, or data science; having a strong statistical background is the go-to skill you need.Although learning R is not the main focus of this course, but we will implicitly learn R by diving deep into statistical concepts. The Crucial advantage of this course is not learning algorithms and machine learning but rather developing our critical thinking and understanding what the outcomes of these models represent.The course is designed to take you to step by step in a journey of R and statistics, It is packed with templates, Exercises, quizzes, and resources that will help you understand the core R language and statistical concepts that you need for Data Science and business analytics. The course is:· Practical· Highly analytical· Packed with quizzes and assignments.· Excel tutorials included.· R scripts and tutorials· Easy to understand and follow.· Learn by Doing, no boring lectures.· Comprehensive· Data-driven· Introduces you to the statistical R language.· Teaches you about different data visualizations of ggplot.· Teaches you How to clean, transform, and manipulate data.Looking forward to seeing you inside:)Haytham
