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Kate Sandars,
Chris Wild,
and
Mike Forster
Topics Covered
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Topics Covered
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Topics Covered
- Data and its organisation
- Basic statistics
- Making discoveries working with several variables simultaneously
- Sources of error and misconception
- Confidence intervals
- Statistical tests via randomisation
- Seasonal decomposition and forecasting
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Reviews summary
Solid introduction to data analysis concepts
This course covers the basics of data analysis and visualization. It is suitable for beginners and those who want a refresher. The course is well-structured and paced, and the content is delivered in a clear and concise manner. However, it does not teach any proficiency in the actual programming of R.
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Data to Insight: An Introduction to Data Analysis and Visualisation.
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Learners who complete Data to Insight: An Introduction to Data Analysis and Visualisation will develop knowledge and skills
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Provides a comprehensive overview of data structures and algorithms in R. It covers a wide range of topics, including sorting, searching, and graph traversal. The book is written in a clear and concise style, and it is well-suited for both students and practitioners.
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This open-source textbook provides a comprehensive introduction to statistics, including interactive simulations and exercises.
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