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Day1
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商業大數據分析基礎
(FUNDAMENTALS OF BUSINESS DATA ANALYTICS)
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A商業大數據分析簡介(Introduction to Business Data Analytics (BDA)
B商業分析與商業大數據分析的關係
(Relationship between Business Analysis and Business Data Analytics)
C名詞解釋(Understanding terminology)
C-1數據科學(BDA, Data Science)
C-2機器學習(AI, Machine Learning)
C-3大數據(Big Data)
C-4監督和非監督機器學習(Supervised and Unsupervised Machine Learning)
D商務數據分析方法的類型(Types of Business Data Analytics methods)
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Day2
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商業大數據分析領域
(BUSINESS DATA ANALYTICS DOMAINS)
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A瞭解商業大數據分析生命週期(Understanding the Business Data Analytics Life Cycle)
B確定研究問題(Identify the Research Questions )
B-1定義商業問題(Defining the business problem(s))
B-2將商業問題表述為分析問題(Articulating the business problem as an analytical problem )
B-3定義成功 KPI(Defining success KPIs)
B-4構建假設,並界定研究問題(Building hypothesis, and framing the research question(s))
B-5型態 I 與類型 II 錯誤(Type I and Type II errors)
B-6使用 DMN(決策模型和符號)建構決策需求模型
(Using DMN (Decision Model and Notation) to build a Decision Requirements Model)
C數據來源(Source Data)
C-1數據類型(Types of data)
C-2定義數據要求(Defining data requirements)
C-3制定數據收集計劃(Developing a Data Collection Plan )
C-4識別數據來源(Identifying data sources)
C-5收集數據(Collecting data)
C-6瞭解數據建模(Understanding data modeling)
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D分析數據(Analyze Data)
D-1機器學習基礎知識(Machine Learning Fundamentals)
D-2監督學習演演算法(Supervised Learning Algorithms)
D-3無監督學習演演算法(Unsupervised Learning Algorithms)
D-4"過度擬合"的概念(The Concept of “Over-fitting”)
D-5偏置誤差和方差誤差(Bias Error and Variance Error )
D-6解決"過度擬合"(Addressing “over-fitting”)
D-7數據準備:預處理數據(Data Preparation: Pre-processing data )
D-8格式化數據(Formatting data)
D-9清潔數據(Cleaning data)
D-10取樣數據(Sampling data)
D-11數據準備 : 轉換數據(Data Preparation: Transforming data (Feature Engineering) )
D-12測試與選擇演算法(Testing and selecting algorithms )
D-13建築模型(Building models)
D-14評估模型(Evaluating models )
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Day3
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商業大數據分析領域
(BUSINESS DATA ANALYTICS DOMAINS)
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E解釋並回報結果(Interpret and Report Results)
E-1瞭解利益相關者參與生命週期(Understanding the Stakeholder Engagement Life Cycle)
E-2數據視覺化與數據講故事(Data Visualization vs Data Storytelling)
E-3瞭解圖表和繪圖(Understanding commonly used charts and plots)
E-4瞭解數據講故事(Understanding Data Storytelling)
F使用結果影響商業決策(Use Results to Influence Business Decision-Making)
F-1提出建議(Making recommendations )
F-2制定變革實施計劃(Developing the Change Implementation Plan)
F-3執行模型的商務驗證(Performing business validation of the model )
F-4部署分析解決方案(Deploying the analytics solution)
F-5管理商業變更(Managing the business change)
G管理模型生命週期(Manage the model life cycle)
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Day4
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企業數據分析
制度化
(INSTITUTIONALIZING BUSINESS DATA ANALYTICS )
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A商務數據分析挑戰(Business Data Analytics challenges)
B建立數據戰略(Building a Data Strategy)
C瞭解建立數據原則的技術(Understanding techniques to build a Data Strategy)
D瞭解數據管理(Understanding Data Management)
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