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Learn Inferential Statistics, earn certificates with paid and free online courses from University of Michigan, Duke, University of Illinois, IIT Madras and other top universities around the world. Read reviews to decide if a class is right for you.
Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to understand the concept of Design for Six Sigma (DFSS).
Este curso en lÃnea entrega al estudiante los conocimientos fundamentales de estadÃstica para el análisis de datos, tanto a nivel personal como empresarial.
Usa estadÃstica descriptiva e inferencial en los negocios. Aprende a tomar decisiones con ayuda de estimadores, análisis regresional y más.
Develop a solid understanding of the statistical analysis techniques commonly used in health research with King’s College London.
Learn Python fundamentals, data manipulation with pandas, and basic statistical analysis. Gain practical skills in cleaning, processing, and analyzing tabular data for data science applications.
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.
Master Lean Six Sigma methodology to drive quality, productivity, and sustainability. Apply DMAIC process, statistics, and Lean principles in a hands-on project to improve cleanliness in your hometown.
Explore statistical concepts, from descriptive methods to inferential techniques. Learn to calculate, interpret, and apply statistics using real-world examples and free software.
Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.
Master data analysis skills, Python programming, and practical statistics to launch a successful career in data science with hands-on projects and industry-relevant curriculum.
Master Power BI for advanced data retrieval, analysis, and visualization. Learn statistics, M language, DAX functions, and create impactful reports to draw meaningful conclusions from complex datasets.
Master statistical analysis using Python's powerful libraries - from basic descriptive measures to advanced inferential techniques, with hands-on practice using real-world datasets and practical applications.
Master statistical concepts through hands-on practice with R, covering descriptive statistics, probability distributions, data visualization, and hypothesis testing for real-world data analysis.
Explore inferential statistics through hypothesis testing, p-values, and data analysis using R. Learn to interpret and report results for numerical and categorical data with confidence.
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