商业分析课程

第1周主题：Module 1.0 Introduction to business decision making and the role of data Understanding collective organisation as agreement, action and outcomes, and the business context and the importance of data in decision-making. Live session: Discussion of the role of statistics in decision making. Self-directed learning: Complete Rise module “Getting started with Statistical Methods” | Module 1.0 Introduction to business decis 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 1.0 Introduction to business decision making and the role of data Understanding collective organisation as agreement, action and outcomes, and the business context and the importance of data in decision-making. Live session: Discussion of the role of statistics in decision making. Self-directed learning: Complete Rise module “Getting started with Statistical Methods” | Module 1.0 Introduction to business decis”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第2周主题：Module 1.1 Framing the question How to frame business problems in compelling ways that can be addressed through data analysis. Live session: Discussion of how to turn a problem into an analytical question. Self-directed learning: Complete Rise Module 1.1 Exploring data | Module 1.1 Framing the question Perform basic data manipulation, generate summary statistics and univariate data visualisation with ggplot2. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 1.1 Framing the question How to frame business problems in compelling ways that can be addressed through data analysis. Live session: Discussion of how to turn a problem into an analytical question. Self-directed learning: Complete Rise Module 1.1 Exploring data | Module 1.1 Framing the question Perform basic data manipulation, generate summary statistics and univariate data visualisation with ggplot2.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第3周主题：Module 1.2 Introduction to data and exploratory analysis The importance of understanding your data before diving into analysis. Live session: Discussion of why data matters, data quality, and exploratory techniques. Self-directed learning: Complete Rise Module 1.2 Bivariate Data Analysis | Module 1.2 Introduction to data and exploratory analysis Perform bivariate and multivariate data visualisation with ggplot2. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 1.2 Introduction to data and exploratory analysis The importance of understanding your data before diving into analysis. Live session: Discussion of why data matters, data quality, and exploratory techniques. Self-directed learning: Complete Rise Module 1.2 Bivariate Data Analysis | Module 1.2 Introduction to data and exploratory analysis Perform bivariate and multivariate data visualisation with ggplot2.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第4周主题：Module 2.1 Hypothesis testing in business How to use hypothesis testing to validate or undermine business assumptions. Live session: Discussion of why hypothesis testing is used in business, pitfalls, and applications. Self-directed learning: Complete Rise Module 2.1 Hypothesis testing | Module 2.1 Hypothesis testing in business Practice hypothesis testing for categorical and continuous data. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 2.1 Hypothesis testing in business How to use hypothesis testing to validate or undermine business assumptions. Live session: Discussion of why hypothesis testing is used in business, pitfalls, and applications. Self-directed learning: Complete Rise Module 2.1 Hypothesis testing | Module 2.1 Hypothesis testing in business Practice hypothesis testing for categorical and continuous data.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第5周主题：Module 2.2 Linear regression as a predictive tool Understanding the limitations and power of regression models. Live session: Discussion of the strengths and pitfalls of simple linear regression and its application in business. Self-directed learning: Complete Rise Module 2.2 Linear regression | Module 2.2 Linear regression as a predictive tool Practice linear regression modelling. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 2.2 Linear regression as a predictive tool Understanding the limitations and power of regression models. Live session: Discussion of the strengths and pitfalls of simple linear regression and its application in business. Self-directed learning: Complete Rise Module 2.2 Linear regression | Module 2.2 Linear regression as a predictive tool Practice linear regression modelling.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第6周主题：Module 3.1 Multiple regression and model building How to build models that capture key business variables without overcomplicating the analysis. Live session: Transition from simple to multiple linear regression. Self-directed learning: Complete Rise Module 3.1 Multiple regression | Module 3.1 Multiple regression and model building Practice building a linear regression model with multiple predictor variables and asse 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 3.1 Multiple regression and model building How to build models that capture key business variables without overcomplicating the analysis. Live session: Transition from simple to multiple linear regression. Self-directed learning: Complete Rise Module 3.1 Multiple regression | Module 3.1 Multiple regression and model building Practice building a linear regression model with multiple predictor variables and asse”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第7周主题：Module 3.2 Logistic regression and predicting outcomes Using data to predict categorical outcomes in business scenarios. Live session: Understanding the logistic regression model and evaluating performance. Self-directed learning: Complete Rise Module 3.2 Logistic regression | Module 3.2 Logistic regression and predicting outcomes Practice building a logistic regression model, assessing its performance and the validi 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 3.2 Logistic regression and predicting outcomes Using data to predict categorical outcomes in business scenarios. Live session: Understanding the logistic regression model and evaluating performance. Self-directed learning: Complete Rise Module 3.2 Logistic regression | Module 3.2 Logistic regression and predicting outcomes Practice building a logistic regression model, assessing its performance and the validi”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第8周主题：Module 3.3 Time series analysis and forecasting The importance of time series analysis in business forecasting. Live session: Introduction to time series analysis. Self-directed learning: Complete Rise Module 3.3 Time series | Module 3.3 Time series analysis and forecasting Practice exponential smoothing, seasonal adjustment, and trend forecasting of time series. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 3.3 Time series analysis and forecasting The importance of time series analysis in business forecasting. Live session: Introduction to time series analysis. Self-directed learning: Complete Rise Module 3.3 Time series | Module 3.3 Time series analysis and forecasting Practice exponential smoothing, seasonal adjustment, and trend forecasting of time series.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第9周主题：Module 4.1 Model selection and validation How to select and validate the best model for your business problem. Live session: Discussion of why model selection matters in business. Self-directed learning: Start Rise Module 4 Model Evaluation | Module 4.1 Model selection and validation Perform stepwise regression based on AIC. Interpret results and select best model for prediction. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 4.1 Model selection and validation How to select and validate the best model for your business problem. Live session: Discussion of why model selection matters in business. Self-directed learning: Start Rise Module 4 Model Evaluation | Module 4.1 Model selection and validation Perform stepwise regression based on AIC. Interpret results and select best model for prediction.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第10周主题：Module 4.2 Integrating AI into business analytics How AI can enhance business analytics by making the analysis process more efficient. Live session: The data science process and the role of AI. Self-directed learning: Complete Rise Module 4 Model Evaluation | Module 4.2 Integrating AI into business analytics Understand where and how GenAI tools can be integrated into the data science workflow. Learn to engineer effec 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 4.2 Integrating AI into business analytics How AI can enhance business analytics by making the analysis process more efficient. Live session: The data science process and the role of AI. Self-directed learning: Complete Rise Module 4 Model Evaluation | Module 4.2 Integrating AI into business analytics Understand where and how GenAI tools can be integrated into the data science workflow. Learn to engineer effec”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第11周主题：Module 4.3 Communicating results to stakeholders The importance of translating statistical results into actionable business insights. Live Session: Storytelling with data. | Module 4.3 Communicating results to stakeholders Translate statistical model results into plain-language insights and actionable recommendations suitable for a stakeholder audience. Plan and storyboard a short stakeholder presentation, using AI t 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 4.3 Communicating results to stakeholders The importance of translating statistical results into actionable business insights. Live Session: Storytelling with data. | Module 4.3 Communicating results to stakeholders Translate statistical model results into plain-language insights and actionable recommendations suitable for a stakeholder audience. Plan and storyboard a short stakeholder presentation, using AI t”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第12周主题：Module 4.4 Case study integration and review Integrating everything learned in the course through a comprehensive case study. Live session: Retail sales case study Self Directed Learning: Ensure all Rise modules and analytics practice has been completed. | Module 4.4 Case study integration and review A review of some of the statistical approaches covered in the course with a case study. 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 4.4 Case study integration and review Integrating everything learned in the course through a comprehensive case study. Live session: Retail sales case study Self Directed Learning: Ensure all Rise modules and analytics practice has been completed. | Module 4.4 Case study integration and review A review of some of the statistical approaches covered in the course with a case study.”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。

第13周主题：Module 4.5 Integrating AI into Business analytics How to keep up with new tools and methods in a rapidly evolving field, while keeping in mind the two core reasons for all quantitative practices: collective organization via agreement and effective action. Live session: The road ahead: Staying Current Self-directed learning: Submit final project and review key learnings. | Module 4.5 Integrating AI into Business analy 本周先完成 Lecture/Reading 的概念梳理，再用 tutorial 或题目验证理解，重点是把概念转成可解释的步骤。 学习重点：围绕“Module 4.5 Integrating AI into Business analytics How to keep up with new tools and methods in a rapidly evolving field, while keeping in mind the two core reasons for all quantitative practices: collective organization via agreement and effective action. Live session: The road ahead: Staying Current Self-directed learning: Submit final project and review key learnings. | Module 4.5 Integrating AI into Business analy”识别关键术语、方法边界和常见误区，输出一页结构化笔记（定义、方法、例题、易错点）。 实操建议：至少完成 2-3 个与本周主题直接相关的练习，并记录每题的假设与推导过程，避免只记结论。 交付与复盘：对照 BSAN7204 的 assessment 要求检查本周产出，保留可复用模板用于后续周和考前复盘。