CRISP-ML(Q) – Business Understanding and Data Understanding

سرفصل های دوره

Data Science - Business Understanding and Data Understanding

1. Introduction

1. Introduction about Tutor

2. Agenda and Stages of Analytics

3. What is Diagnoistic Analytics

4. What is Predicative Analytics

5. What is Prescriptive Analytics

6. What is CRISP-ML(Q)

7. Quiz Questions.html

2. Business Understanding Phase

1. Business Understanding - Define the Scope of Application

2. Business Understanding - Define Success Criteria

3. Business Understanding - Use Cases

4. Quiz Question.html

3. Data Understanding Phase Data Types

1. Agenda Data Understanding

2. Introduction to Data Understanding

3. Data Types - Continuous Data (vs) Discrete Data

4. Categorical Data Vs Count Data

5. Practical Data Understanding using Realtime Examples

6. Scales of Measurement

7. Quantitative (vs) Qualitative

8. Structured Vs Unstructured Data

9. Quiz.html

10. Big Data Vs Not Big Data

11. Cross Sectional Vs Time Panel Vs PanelLongitudinal Data

12. Balanced Vs Imbalanced Vs Rare Events

13. Batch Data(Offline) Vs Live Streaming Data (Online)

4. Data Understanding Phase

1. What is Data Collection

2. Understanding Secondary Datasources

3. Understanding Primary Datasources

4. Understanding Data Collection Using Survey

5. Understanding Data Collection Using DoE

6. Understanding Possible Error in Data Collection Stage

7. Understanding Bias & Fairness

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تولید کننده: Udemy-Training