강의 계획서

1. Before You Start

   1. Introduction

2. Module 1: Introduction to Data Science

   1. Principles of Data Science

   2. Data Science Technologies

   3. Lab

3. Module 2: Probability and Statistics for Data Science

   1. Probability and Random Variables

   2. Introduction to Statistics

   3. Lab

4. Module 3: Simulation and Hypothesis Testing

   1. Simulation

   2. Hypothesis Testing

   3. Lab

5. Module 4: Exploring and Visualizing Data

   1. Exploring Data

   2. Visualizing Data

   3. Lab

6. Module 5: Data Cleansing and Manipulation

   1. Data Ingestion and Flow

   2. Data Cleansing

   3. Lab

7. Module 6: Introduction to Machine Learning

   1. Getting Started with Machine Learning

   2. Publishing a Machine Learning Web Service

   3. Lab

8. Final Exam and Survey

   1. Final Challenge