Statistical Analysis Fundamentals using Excel

所在平台: Coursera

课程主页: https://www.coursera.org/learn/statistics-fundamentals-using-excel

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课程简介

课程名称：使用Excel进行统计分析基础 课程概述：本课程旨在帮助数据和业务专业人士熟悉统计分析的基本概念以及为数据驱动决策所使用的方法。完成课程后，您将能够运用描述性和推断性分析方法，使用数据可视化方法进行数据沟通，将概率概念应用于现实生活场景，并运用回归技术预测趋势。 课程大纲： 1. **介绍与描述性统计** 本模块介绍描述性统计及其在数据总结和描述中的作用。您将学习统计在做出明智决策中的重要性及其与数据分析师、商业智能分析师和数据科学家等职业的相关性。内容涵盖了集中趋势的主要测量，包括均值、中位数和众数及其在不同场景中的应用。此外，您还将评估离散程度的测量（如方差和标准差）在评估数据变异性方面的重要性。 2. **数据可视化** 本模块着重于数据可视化及其在有效沟通信息中的作用。您将学习识别适合各种数据和信息的不同可视化类型，计算和解释数据可视化中使用的测量和图表。您还将应用原则和指南，根据数据特征和沟通目标选择合适的可视化方式。此外，您将学习数据可视化技术，以清晰直观地呈现和传达信息，并强调对可视化的分析与评估，以获取洞察并有效传达预期信息。 3. **概率分布简介** 在此模块中，学生将把基本的概率概念应用于现实生活场景。您将区分不同的概率分布，包括正态分布和T分布，并计算概率以做出明智决策。将探讨假设检验、显著性水平和p值在统计分析中的重要性。学生将应用概率分布的概念和技术来解决实际问题并分析实际数据。 4. **回归分析与预测** 本模块关注回归分析及其在商业分析中的重要性。您将全面理解回归分析及其在考察变量关系和做出预测中的应用。模块内容包括构建回归模型及评估其假设、诊断问题和识别潜在的解决方案。此外，您将通过应用回归技术开发预测技能，以预测未来趋势和结果，支持明智的决策。 5. **销售绩效分析与预测** 本项目专注于使用数据可视化分析销售绩效，并基于历史数据对未来销售进行简单预测。 总之，本课程为数据和商业专业人士提供了一个理论与实践相结合的学习平台，帮助他们掌握统计分析的基本技能并应用于实际工作中。

课程大纲

Name:Introduction and Descriptive Statistics

Description:This module introduces descriptive statistics and its role in summarizing and describing data. You will learn about the significance of statistics in making informed decisions and its relevance to professions like Data Analyst, BI Analyst, and Data Scientist. The module covers key measures of central tendency, including mean, median, and mode, and their applications in different scenarios. Additionally, you will evaluate the importance of measures of dispersion, such as variance and standard deviation, in assessing data variability.

Name:Data Visualization

Description:This module focuses on data visualization and its role in effectively communicating information. You will learn to identify different types of visualizations suitable for various types of data and information. The module covers the calculation and interpretation of measures and graphs used in data visualization. You will also apply principles and guidelines to select appropriate visualizations based on data characteristics and communication goals. Additionally, you will learn data visualization techniques to present and communicate information clearly and intuitively. The module emphasizes the analysis and evaluation of visualizations to derive insights and effectively convey the intended message.

Name:Introduction to Probability Distributions

Description:In this module, students will apply fundamental concepts of probability to real-world scenarios. They will differentiate between various probability distributions, including the normal distribution and the T-distribution, and calculate probabilities to make informed decisions. The significance of hypothesis testing, alpha levels, and p-values in statistical analysis will be explored. Students will apply probability distribution concepts and techniques to solve practical problems and analyze real-world data.

Name:Regression Analysis and Forecasting

Description:This module focuses on regression analysis and its significance in business analytics. You will develop a comprehensive understanding of regression analysis and its applications in examining variable relationships and making predictions. The module covers building regression models and evaluating their assumptions, diagnosing problems, and identifying potential remedies. Additionally, you will develop forecasting skills by applying regression techniques to predict future trends and outcomes, supporting informed decision-making.

Name:Analysing Sales Performance and Forecasting

Description:The project focuses on analysing sales performance using data visualization and making simple forecasts for future sales based on historical data.

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