Data Analysis Excel for Beginners: Statistical Data Analysis

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课程主页: https://www.udemy.com/course/statistical-data-analysis-in-excel/

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课程名称:初学者的数据分析Excel:统计数据分析 课程概述:本课程包括11个Excel和数据分析的课程,自2015年11月以来,已有超过134,141名学生成功注册,博客ExcelDemy每月吸引超过100,000访客。课程内容清晰简明,覆盖基本及更高级的统计Excel函数,适合希望提升数据分析技能的学习者。 在这门崭新的课程中,学生将学习如何在Excel中进行数据分析和统计。课程强调数据分析在商业中的重要性,并引用杜克大学教授Daniel Egger的话:“在竞争市场中,没有一家商业公司能够在未来五年内保持盈利或生存,而不将最佳实践的数据分析融入其运营。”本课程旨在帮助学生掌握基本的统计和概率理论,以便有效分析数据。 课程内容包括: 1. 数据分析概述:计算数据的常见指标,介绍中心极限定理,并提供减少计算误差的建议。 2. 数据可视化:学习如何使用直方图可视化数据,创建XY散点图来识别数据间的关系,以及基于现有数据预测未来结果。 3. 假设构建:如何制定零假设与替代假设,解读分析结果,并使用正态分布、二项分布和泊松分布来建模数据。 4. 数据集间的关系:分析数据集间的关系,使用协方差与相关性来识别关系强度,并介绍贝叶斯分析。 5. 案例研究:使用直方图、描述性统计、估计直线关系、建模指数增长、使用相关性总结关系、理解时间序列的移动平均等。 掌握商业数据分析是公司每位员工必备的技能。本课程将帮助您在未来的工作中成为最优秀的员工,引导公司走向智慧的发展方向,欢迎报名学习!

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Teaching 11 Courses in Excel and Data Analysis!OVER 100,000 visitors visit my blog ExcelDemy dot com every month!!OVER 134,141 successful students have already taken my online courses since November 2015 with 8,019 total Reviews!!!**************************************************************************************What students are saying about this course?~ Very clear, concise explanation of basic and more advanced statistical Excel functions - Donna M Knapp~ This is an excellent well taught course. The explanations are clear and concise. The course moves at a comfortable pace. I learned a lot from this course and shouldn't have any difficulty applying the concepts to future projects. Well done. - Bill Hengen**************************************************************************************Welcome to my brand new course on Data Analysis in Excel with Statistics: Get Meanings of Data.I want to start with a quote from Daniel Egger. He is a professor at Duke University. He says: "No commercial for-profit company that is in a competitive market can remain profitable or even survive over the next five years without incorporating best practices for business data analytics into their operations."So learning how to analyze data will be the most valuable expertise in your career in the next five years.Excel will analyze and visualize data easily - this is why Excel is created and this is why Excel is the most popular spreadsheet program in the world. Microsoft Company has added new data analysis features, functions, and tools in every new version of Excel. Before going into the course: I want to warn you about something. Excel is just a tool. To analyze data you will use this tool. But analyzing data requires that you know some basic statistics and probability theories. Most of the statistics and probability concepts that are necessary to analyze data effectively are covered in your undergraduate level courses. But in this course, at first, I have discussed the theory at first, then I have advanced to teach you how to use that theory in business with the help of Excel.Let's discuss now what I will cover in this course. It is tough to build a course on data analysis using Excel as so many topics are there to be covered. So I have used the guidelines of the Project Management Institute (PMI) to create this course. The topics I am going to cover in this course are:Overview of Data analysis: I will start with an overview of the data analysis. I will describe how you will calculate common measures of your data, I will introduce you to the central limit theory and then I will provide my advice for minimizing error in your calculations.Visualizing Data: Then I will teach you how to visualize your data using histograms, how to identify relationships among data by creating XY Scatter charts and forecast future results based on Existing data.Building Hypothesis: Then I will show you how to formulate a null and alternative hypothesis, how to interpret the results of your analysis, and how to use the normal, binomial, and Poisson distributions to model your data.Relationships between data sets: Finally I will show you how to analyze relationships between data sets using co-variance, how to identify the strength of those relationships through correlation, and then I will introduce you to Bayesian analysis.Case Study: Summarizing Data by Using HistogramsCase Study: Summarizing Data by Using Descriptive StatisticsCase Study: Estimating Straight-line RelationshipsCase Study: Modeling Exponential GrowthCase Study: Using Correlations to Summarize RelationshipsCase Study: Using Moving Averages to Understand Time SeriesAnalyzing Business data is a must need expertise for every employee of a company. Your company will not survive another five years if it does not take serious business data. And you could be the best employee in your company to direct the business in the smartest way. So keep learning business data analysis with this course.

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