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所在平台: Udemy |
课程主页: https://www.udemy.com/course/regression-in-excel-for-mba-and-professionals/
课程评论：没有评论
课程名称：使用ChatGPT和Claude AI的Excel线性回归 课程概述：这是一门畅销课程，全球142个国家的学生正在学习，并于2024年更新了现代AI工具！您是否仍在使用过时的数据分析学习方法，花费数小时进行基本的多元分析？您想借助聊天生成AI工具（如ChatGPT和Claude AI）加快商业数据应用的学习吗？那么这门课程非常适合您！尽管Udemy上有很多优秀的数据课程，但忙碌的MBA学生和专业人士可能没有时间学习编程来运行Python、R、Stata或Eviews中的计量经济模型。而MS Excel是一个熟悉且易于使用的工具，可以用于高级数据分析。 通过本课程，您将能够： - 发挥Excel在多元分析中的全部潜力 - 进行深入的相关性分析，识别和量化变量之间的相互关系 - 构建稳健的回归模型，以预测未来趋势和揭示因果关系 - 通过先进的统计建模将原始数据转化为可操作的洞察 - 利用Excel分析功能可视化复杂的多元数据，并有效沟通研究结果 无论您是数据分析师、业务专业人士、研究人员还是学生，这门课程将帮助您自信地应对最复杂的数据集。释放数据的真正潜力，提高您的分析能力。在这里，您将踏上成为多元分析大师的旅程，开启数据驱动决策和战略规划的新机会。 课程特别选取了理解您数据中复杂关系所需的最重要的计量经济学工具和技术。线性回归是数据分析的绝对必备知识，而Excel中的分析工具包则是一个简单而强大的功能。本课程中的关键概念是基于我自2014年以来与多组商业学生和多家公司的教学经验提炼而成。课程围绕线性回归——一项出色的工具，它可以帮助您（i）识别数据中可能存在的变量关系的强度，（ii）检验这些关系在统计上的稳健性，以及（iii）使用该模型进行预测。线性回归是一种经典且稳健的方法，易于理解和解释，广泛应用于行业中，并能与几乎所有数据兼容（经过一定的修改）。 现在就报名参加这门课程吧！
Bestseller course with students from 142 countries updated in 2024 with modern AI tools!Do you still use old-fashioned approaches to learn data analytics that take tens of hours to do the basic multivariate analysis? Do you want to speed up your learning of business data applications with the help of modern AI tools such as ChatGPT and Claude AI? Then this course is for you!There are many great data courses on Udemy which sell in thousands of copies. However, busy MBA students and professionals might not have time to learn programming to run econometric models in Python, R, Stata or Eviews. MS Excel, on the other hand, is a familiar and accessible tool which can be used for advanced data analytics. Take this course and you will:Harness the full potential of Excel's analytical capabilities for multivariate analysisConduct in-depth correlation analyses to identify and quantify variable interactionsBuild robust regression models to forecast future trends and uncover causal relationshipsTransform raw data into actionable insights through advanced statistical modelingLeverage Excel Analytics to visualize complex multivariate data and communicate findings effectivelyWhether you're a data analyst, business professional, researcher, or student, this course will equip you with the skills to tackle even the most complex datasets with confidence. Unleash the true power of your data and elevate your analytical prowess to new heights.Enroll now and embark on a journey to become a multivariate analysis master, unlocking a world of opportunities in data-driven decision-making and strategic planning.In this concise course I have carefully selected the most important econometric tools and techniques that are really needed to understand the complicated relationships that exist in your data. Linear regression is the absolute must for data analysis and Analysis ToolPak is a simple yet powerful feature available in MS Excel. The key concepts used in this course have been distilled based on my experience with many groups of business students that I have taught in three MBA programs and many companies since 2014. This course is built around the notion of linear regression - a fantastic tool that you can use to (i) identify the strength of the relationships between variables that might exist in your data, (ii) test whether these relationships are robust in a statistical sense, and (iii) use the model for prediction. Linear regression is a classic and robust method that is easy to understand and interpret; it is widely used in the industry, and it works with virtually any data (after certain modifications).Improved English subtitles (not automatically generated)
