Data Literacy: From Spreadsheets to Insights
Make better decisions by understanding data and common analysis patterns.
Created by David Schneider
About this course
Foundational skills for analyzing data: asking the right questions, cleaning datasets, and presenting results.
What you will learn
- Metrics & questions
- Data cleaning basics
- Charts that communicate
- Common pitfalls
- Mini case studies
This course includes
- On-demand video (demo)
- Templates & checklists (demo)
- Full lifetime access (demo)
- Certificate of completion (demo)
Requirements
- Comfort with basic spreadsheets
Who this course is for
- Professionals who work with metrics
- Learners moving into analytics
Course content
3 sections · 9 lectures · 1h 35m total length
Ask better questions 3 lectures · 27m
▶
Metrics that matter
10m
▶
Baseline vs goal
9m
▶
Common mistakes
8m
Clean data 3 lectures · 30m
▶
Fixing messy columns
11m
▶
Missing values
10m
▶
Sanity checks
9m
Present insights 3 lectures · 38m
▶
Charts that communicate
12m
▶
Storytelling structure
12m
▶
Mini case study
14m
Instructor
David Schneider
Data & AI Educator
D
David simplifies data science, AI basics, and practical analytics for everyday learners.
Reviews
Share your experience and help other learners choose.
No reviews yet. Be the first to share feedback.