大綱

• Understanding the different types of data and data structures
• What type of data is right for the question you're answering
• Practical skills about how to extract, use, organize and protect your data
• How data is generated
• Different formats, types, and structures of data
• Analyze data for bias and credibility
• What "clean data" means
• Databases
• Extract your own data using spreadsheets and SQL
• The basics of data organization
• The process of protecting your data

Course 3 – Prepare Data for Exploration

1. Understanding data types and structures: We all generate lots of data in our daily lives. In this part of the course, you will check out how we generate data and how analysts decide which data to collect for analysis. You’ll also learn about structured and unstructured data, data types, and data formats as you start thinking about how to prepare your data for exploration.
2. Understanding bias, credibility, privacy, ethics, and access: When data analysts work with data, they always check that the data is unbiased and credible. In this part of the course, you will learn how to identify different types of bias in data and how to ensure credibility in your data. You will also explore open data and the relationship between and importance of data ethics and data privacy.
3. Databases: Where data lives: When you are analyzing data, you will access much of the data from a database. It’s where data lives. In this part of the course, you will learn all about databases, including how to access them and extract, filter, and sort the data they contain. You will also check out metadata to discover the different types and how analysts use them.
4. Organizing and protecting your data: Good organization skills are a big part of most types of work, and data analytics is no different. In this part of the course, you will learn the best practices for organizing data and keeping it secure. You will also learn how analysts use file naming conventions to help them keep their work organized.

Collect the data

Differentiate between data formats and structures