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Learn Descriptive Statistics, earn certificates with paid and free online courses from Stanford, Johns Hopkins, UC Irvine, UC Berkeley and other top universities around the world. Read reviews to decide if a class is right for you.
Comprehensive video lessons covering IB Mathematical Studies topics, making complex concepts easier to understand and more engaging for students preparing for assignments or exams.
Usa estadística descriptiva e inferencial en los negocios. Aprende a tomar decisiones con ayuda de estimadores, análisis regresional y más.
เรียนรู้แนวคิดและการประยุกต์ใช้สถิติเชิงพรรณนา เน้นการแจกแจง ค่ากลาง และการกระจายของข้อมูล เพื่อเข้าใจและวิเคราะห์ลักษณะเบื้องต้นของข้อมูลได้อย่างถูกต้อง
Learn Julia for scientific computing: high-performance language for data analysis, modeling, and visualization. Explore arrays, loops, SIR models, and statistical techniques through hands-on projects and real-world applications.
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.
Learn essential concepts of descriptive statistics, including data visualization, central tendency, variability, standardization, and sampling distributions, to analyze and interpret data effectively.
You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.
Master statistical concepts, data visualization, and predictive analytics while learning to use powerful tools for forecasting, regression analysis, probability modeling, and prescriptive analytics.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Learn to analyze, plot, and model multivariate data.
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.
Master data manipulation and analysis using Numpy and Pandas libraries through hands-on practice with the Titanic dataset, covering array operations, DataFrame handling, descriptive statistics, and data filtering.
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