Introduction to Data Science

Introduction

• Beginning your data science exploration

1. Defining Data Science

• What is data science?
• Why data science?

2. Data Science Life Cycle

• What is the data science life cycle?

3. Data Design

• Probability sampling

4. Computational Tools

• Python vs. R
• Set up the environment: Jupyter

5. Tabular Data

• What is tabular data?
• Reading tabular data
• Gathering insights
• Answering specific questions

6. Exploratory Data Analysis

• What is exploratory data analysis?
• Statistical data types
• Properties of data

7. Data Cleaning

• What is data cleaning?
• Questions to ask before cleaning

8. Data Visualization

• What is data visualization?
• Visualize qualitative data
• Visualize quantitative data

9. Inference

• What is inference?
• Design a hypothesis test
• Conduct a permutation test
• Bootstrap a confidence interval

10. Classification

• What is classification?
• Intro to k-Nearest Neighbor algorithm

Conclusion

• Next steps