|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-for-business-analytics-using-ms-excel/
课程评论：没有评论
课程名称：使用MS Excel进行商业分析的统计学 课程概述：本课程旨在教授商业分析中的统计学知识，帮助学员进行数据驱动的决策。完成本课程后，您将能够将商业问题构建为分析问题，使用表格和图表有效传达信息，构建可预测的机器学习模型预测商业结果，使用统计概念做出商业决策，并解释统计模型的结果以制定策略。 主要受众：此课程适合业务经理、分析师及希望掌握统计学概念的学生，为商业职能的实际问题应用分析技术打下坚实基础。 课程特点： - 通过实例学习，以帮助理解不同统计模型的理论概念和应用案例。 - 逐步指导如何在MS Excel中实施商业模型。 - 附赠可下载的Excel文件及课堂笔记，便于复习和练习。 - 配备实践课程，强调创建模型的操作。 授课教师：课程由具有丰富商业分析和MS Excel经验的讲师教授，确保课程更具实用性。 课程内容： 1. Excel数据分析基础：学习Excel的数据操作技巧，如计算、匹配、筛选和数据汇总。 2. 商业分析统计基础：深入了解用于商业环境的核心概率概念及其分布，如正态分布和二项分布。 3. 统计决策制定：探讨假设检验等高级概念，提升分析能力。 4. 优化商业模型：使用Excel工具解决常见的商业问题，学习目标寻求和场景管理等技术。 5. 数据预处理：学习数据探索、一元分析和双变量分析、异常值处理等数据准备知识。 6. 线性回归模型：从简单线性回归过渡到多重线性回归，理解理论知识及其在实际中的重要性。 通过本课程，您将获得在MS Excel中进行商业统计和分析所需的知识和技能，立即在工作中见到实际效果。点击注册，期待在课程中与您见面！
You're looking for a complete course on understanding Statistics for Business Analytics, right?You've found the right Statistics for Business Analytics using MS Excel course! This course will teach you data-driven decision-making and the use of analytical and statistical methods in business settings.After completing this course you will be able to:Understand how to formulate a business problem as an analytics problemSummarize business data into tables and charts to communicate information effectivelyMake predictive machine learning model to predict business outcomesUse statistical concepts to reach business decisionsInterpret the results of statistical models for formulating strategyHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this course on Statistics for Business Analytics in Excel.If you are a business manager, or business analyst or an executive, or a student who wants to learn Statistics concepts and apply analytics techniques to real-world problems of the Business business function, this course will give you a solid base for Statistics and Analytics by teaching you the most popular Business analysis models and how to implement it them in MS Excel.Why should you choose this course?We believe in teaching by example. This course is no exception. Every Section's primary focus is to teach you the concepts through how-to examples. Each section has the following components:Theoretical concepts and use cases of different Statistical models required for evaluating business modelsStep-by-step instructions on implementing business models in MS ExcelDownloadable Excel files containing data and solutions used in MS ExcelClass notes and assignments to revise and practice the concepts in MS ExcelThe practical classes where we create the model for each of these strategies are something that differentiates this course from any other course available online.What makes us qualified to teach you?The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of analytics in this course. We have in-hand experience in Business Analysis and MS Excel.We are also the creators of some of the most popular online courses - with over 600,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts like Business Statistics and Analytics in MS Excel. Each section contains a practice assignment for you to practically implement your learning on Business Analysis in MS Excel.What is covered in this course?The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tool which is MS Excel. This will aid the students who have no prior coding background to learn and implement Statistics and Analytics concepts to actually solve real-world problems of Business Analysis.Let me give you a brief overview of the coursePart 1 - Excel for data analyticsIn the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.Part 2 - Statistics foundations for business analystsThen, in the second section, i.e. Statistics foundations for business analysts, we will start learning about the core concepts of Business Analytics i.e. probability and probability distribution. We will look at important probability distributions used in a business setting such as Normal distribution, Poisson distribution, Exponential distribution, Binomial distribution etcThese concepts form the foundation of data analytics, machine learning, and deep learning.Part 3 - Statistical Decision makingOnce we have covered the basics of probability, in the 3rd section, i.e. Statistical Decision making we will discuss some advanced concepts related to sample testing i.e. hypothesis testing.These are the concepts that differentiate a beginner from a pro!Part 4 - Optimizing Business ModelsIn the fourth section, i.e. Optimizing Business Models we will learn how to solve common business problems with the help of excel's data analytics tools such as solver, goal seek, scenario manager, etc.Part 5 - Preprocessing Data for ML modelsIn this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis, these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.Part 6 - Linear regression model for predicting metricsThis section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.I am pretty confident that the course will give you the necessary knowledge on Business Statistics and Business Analysis using MS Excel, and the skillsets of a Business Analyst to immediately see practical benefits in your workplace.Go ahead and click the enroll button, and I'll see you in lesson 1 of this Statistics for Business Analytics course!CheersStart-Tech Academy
