商业分析课程

第1周主题：Module 1.1: The Data Race Framework This topic builds on a practical framework called Data Race to explain how businesses can create value from their digital data assets. Live Welcome Session: This session will focus on staff and student introductions, outlining course objectives, reviewing assessments, and discussing the Data Race Framework. Self-directed learning : Students need to complete this week's self-directe 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: The Data Race Framework This topic builds on a practical framework called Data Race to explain how businesses can create value from their digital data assets. Live Welcome Session: This session will focus on staff and student introductions, outlining course objectives, reviewing assessments, and discussing the Data Race Framework. Self-directed learning : Students need to complete this week's self-directe”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 BSAN7205 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 2.1: Business Purpose This topic focuses on how companies can formulate analytics business cases, using a user-centric approach. Live Case Analysis Session: This case analysis session focuses on the journey of IDEO, a design thinking firm, and how their approaches can be used to develop user-centric analytics solutions. Preparation : Students need to read and analyse the case study before the live session and 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: Business Purpose This topic focuses on how companies can formulate analytics business cases, using a user-centric approach. Live Case Analysis Session: This case analysis session focuses on the journey of IDEO, a design thinking firm, and how their approaches can be used to develop user-centric analytics solutions. Preparation : Students need to read and analyse the case study before the live session and”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 BSAN7205 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 2.1: Business Purpose (continued) The focus on this week is to progress the project work and unpack the business problem. Live Industry Session: The session gives students opportunity to ask assignment-1 data related questions to Aginic employees. Self-Directed Learning: Students need to work on assignment 1 and prepare questions for the industry session. 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: Business Purpose (continued) The focus on this week is to progress the project work and unpack the business problem. Live Industry Session: The session gives students opportunity to ask assignment-1 data related questions to Aginic employees. Self-Directed Learning: Students need to work on assignment 1 and prepare questions for the industry session.”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 BSAN7205 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 3.1: Understanding Data This topic takes a deep dive into understanding data, its evolution, data sources and types, data's quality issues and meta data. Live Case Analysis Session: This session provides a discussion on the cases of Netflix and Walmart and how they explore their data assets to generate value for users. Self-Directed Learning: Students need to complete this week's self-directed material before 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: Understanding Data This topic takes a deep dive into understanding data, its evolution, data sources and types, data's quality issues and meta data. Live Case Analysis Session: This session provides a discussion on the cases of Netflix and Walmart and how they explore their data assets to generate value for users. Self-Directed Learning: Students need to complete this week's self-directed material before”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 BSAN7205 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 3.1 (Continued): Coding Bootcamp Prep This topic uses a hands-on programming approach to demonstrate how data can be explored and transformed to make it fit for use. Live Coding Bootcamp Session (Prep): This session will introduce you to the Python coding environment in Jupyter Notebook. Self-Directed Material: Students need to complete this week's self-directed material before the live session. | Module 3.1 ( 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 (Continued): Coding Bootcamp Prep This topic uses a hands-on programming approach to demonstrate how data can be explored and transformed to make it fit for use. Live Coding Bootcamp Session (Prep): This session will introduce you to the Python coding environment in Jupyter Notebook. Self-Directed Material: Students need to complete this week's self-directed material before the live session. | Module 3.1 (”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 BSAN7205 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 3.2: Exploring Data (Coding Bootcamp 1) This module introduces you to techniques to identify and address data quality issues in your data. Live Coding Bootcamp Session: This session will introduce you to how to explore data using Python. Self-Directed Learning: You will need to work through the self-directed learning material for this module. | Module 3.2 (Continued): Coding Practice 1a This session is to help 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: Exploring Data (Coding Bootcamp 1) This module introduces you to techniques to identify and address data quality issues in your data. Live Coding Bootcamp Session: This session will introduce you to how to explore data using Python. Self-Directed Learning: You will need to work through the self-directed learning material for this module. | Module 3.2 (Continued): Coding Practice 1a This session is to help”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 BSAN7205 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 3.3: Transforming Data (Coding Bootcamp 2) Module 3.3 is the final topic for the second step in the Data Race, focusing on Transforming Data. Live Coding Bootcamp Session: This session is a coding bootcamp focusing on using Python for data transformations. Self-Directed Learning: You will need to work through the self-directed learning material for this module. | Module 3.3 (Continued): Coding Practice 2a | Mo 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: Transforming Data (Coding Bootcamp 2) Module 3.3 is the final topic for the second step in the Data Race, focusing on Transforming Data. Live Coding Bootcamp Session: This session is a coding bootcamp focusing on using Python for data transformations. Self-Directed Learning: You will need to work through the self-directed learning material for this module. | Module 3.3 (Continued): Coding Practice 2a | Mo”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 BSAN7205 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 4.1: Performance Management (Coding Bootcamp 3) This Module describes how data and analytics can help companies manage their business performance. Live Coding Bootcamp Session: This session is a coding bootcamp focusing on using Python for generate insights from the data. Self-Directed Learning: You will need to work through the self-directed learning material for this module. | Module 4.1 (Continued): Coding 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: Performance Management (Coding Bootcamp 3) This Module describes how data and analytics can help companies manage their business performance. Live Coding Bootcamp Session: This session is a coding bootcamp focusing on using Python for generate insights from the data. Self-Directed Learning: You will need to work through the self-directed learning material for this module. | Module 4.1 (Continued): Coding”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 BSAN7205 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：Assessment 2 Q&A Session 1a This session will help you practice your coding skills and prepare for Assignment 2 submission. | Assessment 2 Q&A Session 1b This session will help you practice your coding skills and prepare for Assignment 2 submission. 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“Assessment 2 Q&A Session 1a This session will help you practice your coding skills and prepare for Assignment 2 submission. | Assessment 2 Q&A Session 1b This session will help you practice your coding skills and prepare for Assignment 2 submission.”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 BSAN7205 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: Introduction to Machine Learning This topic explains the process of machines learning, together with a number of machine learning algorithms and how they are used in business. | Module 4.2 (Continued): Dashboarding workshop 1a This session provides a hands-on experience to build digital dashboards with a popular tool. Labour Day Public Holiday - Monday 4th May 2026 - Check Blackboard for announcements abo 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: Introduction to Machine Learning This topic explains the process of machines learning, together with a number of machine learning algorithms and how they are used in business. | Module 4.2 (Continued): Dashboarding workshop 1a This session provides a hands-on experience to build digital dashboards with a popular tool. Labour Day Public Holiday - Monday 4th May 2026 - Check Blackboard for announcements abo”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 BSAN7205 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 & 4.4: Visual Storytelling and Data-driven Action This topic shows how analytics professionals can build effective narratives that influence their audience and inspire competitive action or automation of business processes. Live Session: This session will focus on trust in data and how best inspire action based on data-driven insights. Self-Directed Learning: You will need to work through the self-directed 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 & 4.4: Visual Storytelling and Data-driven Action This topic shows how analytics professionals can build effective narratives that influence their audience and inspire competitive action or automation of business processes. Live Session: This session will focus on trust in data and how best inspire action based on data-driven insights. Self-Directed Learning: You will need to work through the self-directed”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 BSAN7205 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 5.1: Value This module explains how analytics value can be defined and measured and how its negetive consequences can be avoided. Live session: This session will discuss the Guess case study and how they measured analytics value. It will also involve a discussion of surveillance captalism By Shoshana Zuboff. Self-Directed Learning: You will need to work through the self-directed learning material for this modu 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 5.1: Value This module explains how analytics value can be defined and measured and how its negetive consequences can be avoided. Live session: This session will discuss the Guess case study and how they measured analytics value. It will also involve a discussion of surveillance captalism By Shoshana Zuboff. Self-Directed Learning: You will need to work through the self-directed learning material for this modu”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 BSAN7205 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 6.1: Becoming Data Savvy This is a revision week and will include Q&A session for Assignment 3. | Module 6.1: Becoming Data Savvy (Continued) This is a revision week and will include Q&A session for Assignment 3. 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 6.1: Becoming Data Savvy This is a revision week and will include Q&A session for Assignment 3. | Module 6.1: Becoming Data Savvy (Continued) This is a revision week and will include Q&A session for Assignment 3.”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 BSAN7205 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。