Chapter 1: Instruction of becoming a data analyst in an efficient way
Lesson 1: What is the general path for being a data analyst
Lesson 2: How to learn and practice in this course
Chapter 2: How to think like a data analyst
Lesson 3: the reason of why we put this in beginning
Lesson 4: Structured principle of Data Analysis
Lesson 5: Formulation principle of Data Analysis
Lesson 6: Business principle of Data Analysis
Lesson 7: Analysis with Quadrant Method
Lesson 8: Analysis with Multidimensional Method
Lesson 9: Analysis with hypothesis and Index Method
Lesson 10: Analysis with 28 Laws
Lesson 11: Analysis with Comparative Method
Lesson 12: Analysis with Funnel Method
Lesson 13: How those method used in real life work
Chapter 3: How analysis differ in business model
Lesson 14: why business is important to consider
Lesson 15: What Indicator matter in business analysis
Lesson 16: Using indicator to estimate Marketing
Lesson 17: Using indicator to estimate Product Operational
Lesson 18: Using indicator to estimate User Behavior
Lesson 19: Using indicator to estimate E-Commerce
Lesson 20: Using indicator to estimate Traffic
Lesson 21: crate a new indicator
Lesson 22: Build a Business Analysis Framework
Lesson 23: Introduction to Marketing Model
Lesson 24: classic AARRR Model
Lesson 25: Build a User Behavior Model
Lesson 26: Build a E-Commerce Model and a Traffic Model
Lesson 27: Business scenarios
Lesson 28: Practice for those scenarios
Lesson 29: Data Management In Business
Chapter 4: Handle Data With Spreed Sheet
Lesson 30: Introduction to spreed sheet
Lesson 31: Text Cleaning
Lesson 32: Exercise for text Cleaning
Lesson 33: Matching command
Lesson 34: Logical statement in spreed sheet
Lesson 35: Statistical pre-build methods in spreed sheet
Lesson 36: Time Series in spreed sheet
Lesson 37: Frequently Asked Questions
Lesson 38: Spreed Sheet Toolkit (1)
Lesson 39: Spreed Sheet Toolkit (2)
Lesson 40: Data Analysis with spreed sheet example (1)
Lesson 41: Data Analysis with spreed sheet example (2)
Chapter 5: Data Visualization
Lesson 42:Why we care Data Visualization
Lesson 43: Fundamental Chart
Lesson 44: Advanced Chart Types
Lesson 45: Introduction to drawing tools
Lesson 46: visualization with spreed sheet based software
Lesson 47: Scatter graph
Lesson 48: strategy I — helper column