A 12 week intensive course about Python and data science.
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Updated
May 3, 2024 - HTML
A 12 week intensive course about Python and data science.
Geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods
Complete introductory statistics textbook with an emphasis on the biological & environmental sciences. Includes 26 chapters introducing key concepts for a foundational understanding of statistics and 9 complementary chapters of exercises with jamovi. Supplemental shiny apps illustrate book concepts. All code and datasets are freely available.
Files created to support student learning in MA 214, Statistical Methods at Wartburg College.
Interactive statistics study platform featuring 37+ flashcards with category filtering and shuffle, 20-question practice quiz with scoring, comprehensive study guide covering descriptive statistics, probability, and study design, plus quick-reference cheat sheet. Built with HTML, CSS, and JavaScript — no framework or dependency needed
Interactive tutorials for "Introduction to The New Statistics" (ITNS) - WIP
Cours de statistiques
Statistical learning material written to support users of www.statsdirect.com software
Bank Telemarketing Analysis: Implement Logistic Regression to predict the outcome of the telemarketing campaigns based on the characteristics of the clients and the calls with 91.14% Accuracy.
Program for our case study entitled, "StatEase: The Development of a Statistical Analysis and Data Interpretation Application Software." Aims to simplify statistical methodology solving and is an alternative to existing statistical software tools such as SPSS for Hypothesis Testing & Measures of Central Tendency & Variability.
learning module in statistical analysis with SPSS for beginners
Stats Refresher for Stage 4 Undergrads
Implementation of ESCI as used in the book Introduction to the New Statistics, Estimation, Open Science & Beyond by Geoff Cumming and Robert Calin-Jageman.
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