|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/business-statistics-sampling-methods-with-python-and-excel/
课程评论：没有评论
课程名称：商业统计 - 使用Python和Excel进行抽样方法 概述：通过掌握抽样技术，释放商业统计的力量！本课程采用实践和动手的方法，帮助您理解统计学及其在实际数据分析中的应用。 您将学习到： - 统计学入门：理解关键统计概念以及为什么抽样对数据驱动的决策至关重要。 - 抽样方法类型： - 便利抽样：快速便捷的数据收集。 - 简单随机抽样：每个数据点都有相等的被选中机会。 - 系统抽样：从数据集中选择每第‘n’个数据点。 - 分层抽样：在抽样前将数据划分为有意义的小组。 - 集群随机抽样：随机选择整个群体而不是个体。 关键亮点： - 在Python中的动手实施：使用pandas和NumPy对真实数据集应用每种抽样方法。 - 在Excel中的抽样：学习如何使用Excel的内置统计工具生成和分析样本。 - 比较Python与Excel的应用：探索两种工具的优缺点和最佳使用场景。 - 真实商业应用：了解企业如何利用抽样改善决策、降低成本和优化策略。 - 实际练习和案例研究：提供相关例子以巩固您的理解。 课程结束时，您将能够自信地使用Python和Excel进行统计抽样，从而提升您的数据驱动决策能力。 适合谁参加？ - 商业分析师、数据爱好者和学生。 - 希望提高数据分析技能的专业人士。 - 对统计方法和数据科学感兴趣的任何人。 立即加入，将您的商业统计技能提升到一个新的水平！
Unlock the power of Business Statistics by mastering sampling techniques with Python and Excel! This course provides a practical, hands-on approach to understanding statistics and its applications in real-world data analysis.What You'll Learn:Introduction to Statistics - Understand key statistical concepts and why sampling is crucial for data-driven decision-making.Types of Sampling Methods:Convenience Sampling - Quick and easy data collection.Simple Random Sampling - Every data point has an equal chance of being selected.Systematic Sampling - Selecting every ‘nth' data point from a dataset.Stratified Sampling - Dividing data into meaningful subgroups before sampling.Cluster Random Sampling - Random selection of entire groups instead of individuals.Key Highlights:Hands-on Implementation in Python - Apply each sampling method using pandas and NumPy for real-world datasets.Sampling in Excel - Learn how to generate and analyze samples using Excel's built-in statistical tools.Comparing Python vs. Excel Approaches - Explore the strengths, differences, and best use cases for each tool.Real-World Business Applications - Learn how businesses use sampling to improve decision-making, reduce costs, and optimize strategies.Practical Exercises and Case Studies -Relevant examples to solidify your understanding.By the end of this course, you'll be confident in using Python and Excel for statistical sampling, enabling you to make better, data-driven decisions. Who Should Enroll?Business Analysts, Data Enthusiasts, and Students.Professionals looking to enhance their data analytics skills.Anyone interested in statistical methods and data science.Join now and take your business statistics skills to the next level!
