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데이터 리터러시 입문
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업데이트됨 2026. 3.TheoryData Literacy216 videos61 exercises4,000 XP130K+성과 증명서
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DataCamp for Business 사용해 보세요강좌 설명
필수 조건
이 강좌에는 선수 과목이 없습니다.1
Data Literacy Basics
Why should you become data-literate? To answer this question, you'll learn why data literacy is an essential skill, how to get from data to insights, and how data can help with decision-making.
2
Reading Data
Data is everywhere nowadays, but how do you find the right data for your problem? In this chapter, you'll learn about data sources, common types of data, how to manage data, and what to do about common data problems.
3
Working with and Analyzing Data
In this chapter, we dive deeper into how to analyze your data to get the insights you need. You'll learn how and when to use the four types of analytics: descriptive, diagnostic, predictive, and prescriptive analytics.
4
Communicating Insights
In the final chapter, we'll cover communicating the insights you gained from your data. You'll learn how to use visualizations and storytelling to craft an engaging data story and learn about the three keys to communicating effectively.