Data Science Cheat Sheet

Types of Data Science

Descriptive Analytics (Business Intelligence)

Get useful data in front of the right people in the form of dashboards, reports, and emails.

- Which customers have churned?
- Which homes have sold in a given location, and do homes of a certain size sell more quickly?

Predictive Analytics (Machine Learning)

Put data science models continuously into production.

- Which customers may churn?
- How much will a home sell for, given its locaAon and number of rooms?

Prescriptive Analytics (Decision Science)

Use data to help a company make decisions.

- What should we do about the parAcular types of customers that are prone to churn?
- How should we market a home to sell quickly, given its locaAon and number of rooms?

The Standard Data Science Workflow

Building a Data Science Team

Your data team members require different skills for different purposes.

Data Science Team Organizational Models

Exploration and Visualization

The type of dashboard you should use depends on what you’ll be using it for.

Common Dashboard Elements

Popular Dashboard Tools

Experimentation and Prediction

Machine Learning

Machine learning is an application of artificial intelligence (AI) that builds algorithms and statistical models to train data to address specific questions without explicit instructiontions.

Special Topics in Machine Learning

1. "Time Series Forecasting" is a technique for predicting events through a sequence of time and can capture seasonality or periodic events.

2. "Natural Language Processing (NLP)" allows computers to process and analyze large amounts of natural language data.

- Text as input data
- Word counts track the important words in a text
- Word embeddings create features that group similar words