How to Describe Data

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

How to Describe Data

Coursera · Beginner ·📄 Research Papers Explained ·3mo ago

Key Takeaways

Examines the use of data in everyday lives and develops critical eye toward evaluating statistical information

Original Description

How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn the fundamentals of discussing, evaluating, and presenting a wide range of data sets, as well as how data helps us make sense of the world. This is a broad overview of statistics and is designed for those with no previous experience in data analysis. With this course, you’ll be able to spot potentially misleading statistics and better interpret claims about data you encounter in the world. Course assessments focus on your understanding of concepts rather than solving math problems. This is the first course in Understanding Data: Navigating Statistics, Science, and AI Specialization, where you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Follow-up: The ArxivLens Protocol: Transforming Research Nois
Learn how to apply the ArxivLens Protocol to create dynamic grant-allocation pools that rebalance based on citation-impact signals, transforming research noise into actionable insights
Dev.to AI
📰
On July 1, 2026, arXiv will spin out from Cornell University, its home for the past 25 years, to become an independent nonprofit organization. Major funding support from Simons Foundation and Schmidt Sciences. Ditching the red for their website. [N]
arXiv is becoming an independent nonprofit organization after 25 years at Cornell University, backed by major funding, which will impact the future of research and academia
Reddit r/MachineLearning
📰
CS-NRRM™ Official Publications: Paper 1 and Paper 2 Are Now Available
Learn about the CS-NRRM's official publications on a 12-year longitudinal human observation archive and its significance in research and development
Medium · Data Science
📰
Found a potential mistake in an ICLR 2026 blogpost [D]
Verify a potential mistake in an ICLR 2026 blog post and learn how to effectively report errors in academic publications
Reddit r/MachineLearning
Up next
Consensus AI Research Tool You Can Actually Trust
Educraft
Watch →