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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.
Master essential statistical methods in psychology research, from z-tests and t-tests to chi-square analysis, using practical software tools for data interpretation and hypothesis testing.
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.
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.
Explore statistical concepts, from descriptive methods to inferential techniques. Learn to calculate, interpret, and apply statistics using real-world examples and free software.
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.
Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution.
Gain a solid foundation in data analytics, studying statistics and how data informs forecasting and strategic decisions across industries, while exploring statistical modeling and analysis.
Comprehensive introduction to probability theory and statistics, covering descriptive and inferential techniques. Learn to apply concepts using R software on real datasets.
Explore statistical foundations of AI, covering data analysis, probability theory, and inferential statistics. Gain practical skills using R for visualization and analysis of real-world data.
Explore the landscape of statistics and learn how to: Select the right approach for a specific statistics problem Generate descriptive statistics using Excel’s Data Analysis ToolPak Run a statistical test and interpret the results in Excel
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
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