Confidence Intervals

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Basic Statistics (Coursera) Coursera
University of Amsterdam

Basic Statistics (Coursera)

Discover the basics of statistics in a user-friendly format! This course is perfect for those interested in understanding research methods in the social and behavioral sciences. You'll learn not just how to compute statistics but also how to critically assess them. Prepare yourself for advanced studies with this essential foundation.

Sep 28th 2026
5-12 Weeks
Inferential Statistics (Coursera) Coursera
Duke University

Inferential Statistics (Coursera)

Discover the power of Inferential Statistics with this engaging Coursera course. Designed for beginners and professionals alike, this program will equip you with essential skills to analyze and interpret data, perform hypothesis tests, and communicate your findings clearly. Dive into practical applications using R and RStudio, free statistical software, and apply these techniques to real-world datasets.

Sep 28th 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

Discover the essential probability and statistical principles employed in basic data analysis through our beginner-friendly Mathematical Biostatistics Boot Camp 1. Designed for those with a strong foundation in calculus, this course offers an introductory approach to these critical concepts. A bit of linear algebra and programming knowledge will enhance your learning experience but are not prerequisites.

Sep 14th 2026
4 Weeks
Exploring and Producing Data for Business Decision Making (Coursera) Coursera
University of Illinois at Urbana-Champaign

Exploring and Producing Data for Business Decision Making (Coursera)

Dive into 'Exploring and Producing Data for Business Decision Making' and transform how you approach problem-solving in your business. This course offers an insightful journey into data analysis, teaching you how to summarize data effectively and understand key concepts like frequency, normal distribution, statistical studies, sampling, and confidence intervals.

Sep 14th 2026
4 Weeks
Exploration et production de données pour les entreprises (Coursera) Coursera
University of Illinois at Urbana-Champaign

Exploration et production de données pour les entreprises (Coursera)

Découvrez le potentiel caché de vos données avec notre formation exclusive sur Exploration et Production de Données pour les Entreprises. Ce cours vous guidera à travers les concepts clés de la statistique appliquée, vous permettant d'analyser vos données de manière structurée et de tirer des conclusions précises pour améliorer les processus de votre entreprise.

Sep 14th 2026
4 Weeks
Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

Sep 7th 2026
5-12 Weeks
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Dive into the world of Business Statistics with our advanced course on Confidence Intervals and Hypothesis Testing. Gain essential skills that will empower you to make informed decisions, quantify risks, and understand the nuances of statistical analysis as applied to real-world business scenarios. This course is perfect for those looking to elevate their analytical capabilities in a business context.

Sep 7th 2026
4 Weeks
Inferential Statistical Analysis with Python (Coursera) Coursera
University of Michigan

Inferential Statistical Analysis with Python (Coursera)

Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.

Sep 7th 2026
4 Weeks
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