Descriptive Statistics

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UX Data Analysis (edX) EdX
HECMontrealX,HEC Montréal

UX Data Analysis (edX)

Embark on a journey to become a UX data scientist with this comprehensive edX course. Dive deep into the world of data analysis, mastering both qualitative research methods and advanced Web analytics techniques. Gain the skills needed to extract valuable insights from user interactions and big data sets, enabling you to make informed recommendations that enhance user experience.

Self Paced
Self-Paced
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.

Oct 12th 2026
4 Weeks
Data Analysis in R with RStudio & Tidyverse (Coursera) Coursera
Codio

Data Analysis in R with RStudio & Tidyverse (Coursera)

Discover the power of R programming for data analysis with our introductory course, 'Data Analysis in R with RStudio & Tidyverse'. This comprehensive guide is perfect for beginners looking to start their journey in data science. Learn how to import, clean, and analyze datasets using RStudio and the versatile Tidyverse package suite.

Oct 12th 2026
5-12 Weeks
Introducción a Ciencias de Datos y Estadística Básica para Negocios (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Introducción a Ciencias de Datos y Estadística Básica para Negocios (edX)

Sumérgete en el mundo de los datos y la estadística con nuestro curso diseñado específicamente para quienes buscan aplicar estas habilidades en el ámbito empresarial. Aprende a interpretar y utilizar datos para mejorar tus decisiones de negocio, desde principiante hasta avanzado.

Self Paced
Self-Paced
Statistics 1 Part 1: Introductory statistics, probability and estimation (edX) EdX
The London School of Economics and Political Science,LSE

Statistics 1 Part 1: Introductory statistics, probability and estimation (edX)

Dive into the fundamentals of statistics with our comprehensive online course. Gain an understanding of key concepts like probability, estimation, and data interpretation. Perfect for beginners looking to build a quantitative skillset or as a stepping stone towards further academic study.

Self Paced
Self-Paced
Statistics (edX) EdX
Delft University of Technology,DelftX

Statistics (edX)

Discover the essential concepts of bachelor-level statistics with our engaging online course. Learn to analyze and interpret data through descriptive and inferential methods, all while utilizing the powerful statistical software package R on actual datasets. Whether you're a student looking for a strong foundation or a professional aiming to enhance your analytical skills, this course is designed to equip you with a solid understanding of statistics.

Self Paced
Self-Paced
Statistics Fundamentals Proctored Exam (edX) EdX
The London School of Economics and Political Science,LSE

Statistics Fundamentals Proctored Exam (edX)

Dive into the core principles of statistics with edX's comprehensive Statistics Fundamentals Proctored Exam course. This program is designed to test your understanding and application of statistical concepts, serving as a stepping stone towards further academic pursuits or enhancing your professional skills in data-driven roles.

Self Paced
Self-Paced
Statistical Analysis Fundamentals using Excel (Coursera) Coursera
IBM

Statistical Analysis Fundamentals using Excel (Coursera)

Dive into the world of data analysis with our Statistical Analysis Fundamentals using Excel course. Whether you're a business professional or a data enthusiast, this course will equip you with essential statistical tools to make informed decisions based on data. Learn how to analyze, visualize, and interpret data effectively using Microsoft Excel.

Oct 12th 2026
5-12 Weeks