Statistics & Data Analysis

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Data Science as a Field (Coursera) Coursera
University of Colorado Boulder

Data Science as a Field (Coursera)

Embark on an enlightening journey into the world of Data Science with this comprehensive online course offered by Coursera. Designed for beginners and professionals alike, this course provides an overview of what Data Science entails, the essential skills required, and how to navigate the process effectively. Gain insights from CU Boulder's Master’s of Science in Data Science program, crafted by both academics and industry leaders.

Nov 9th 2026
4 Weeks
Introduction to SQL (edX) EdX
Davidson College,DavidsonX

Introduction to SQL (edX)

Discover the fundamentals of SQL in this comprehensive introduction to SQL online course. Whether you're new to databases or looking to enhance your data analysis skills, this course will equip you with the essential knowledge and practical experience needed to query and manipulate relational databases effectively. Learn at your own pace from expert instructors and apply what you learn immediately through interactive exercises.

Self Paced
Self-Paced
Tools for Exploratory Data Analysis in Business (Coursera) Coursera
University of Illinois at Urbana-Champaign

Tools for Exploratory Data Analysis in Business (Coursera)

Embark on a journey into the world of data analytics with our 'Tools for Exploratory Data Analysis in Business' course. This course is tailored for professionals looking to harness the power of data to drive business decisions. You'll develop an analytic mindset, identify business problems that can be solved through data analysis, and learn how to use cutting-edge tools like PowerBI, Alteryx, and RStudio for ETL and EDA processes.

Nov 9th 2026
4 Weeks
Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera) Coursera
University of Michigan

Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera)

Dive into the world of sports analytics with our beginner-friendly course. Using Python, explore how to represent and analyze sports data, focusing on regression analysis for team and player performance across major leagues like NFL, NBA, NHL, EPL, and IPL. Gain valuable skills in extracting meaningful insights from sports data.

Nov 9th 2026
5-12 Weeks
Moneyball and Beyond (Coursera) Coursera
University of Michigan

Moneyball and Beyond (Coursera)

Dive into the world of sports analytics with 'Moneyball and Beyond', a course that explores the transformative power of data-driven decision-making. Uncover the secrets behind the Moneyball phenomenon and learn to apply advanced statistical methods using Python programming. This course is perfect for enthusiasts, students, and professionals looking to understand how data has reshaped professional sports.

Nov 9th 2026
5-12 Weeks
Data Science with R - Capstone Project (Coursera) Coursera
IBM

Data Science with R - Capstone Project (Coursera)

Embark on an advanced journey into data science as you apply your learned skills to a hands-on capstone project using the powerful R programming language. This course will challenge you to collect, analyze, test hypotheses, visualize, and model real-world datasets, equipping you with practical experience in data science applications.

Nov 9th 2026
5-12 Weeks
Ciencia de Datos Aplicada al Marketing (edX) EdX
Universidad Anáhuac,AnahuacX

Ciencia de Datos Aplicada al Marketing (edX)

Sumérgete en el mundo de la Ciencia de Datos Aplicada al Marketing y aprende a transformar datos en conocimiento valioso que guiará tus decisiones estratégicas. Este curso te brinda las herramientas necesarias para analizar, interpretar y aplicar los insights obtenidos de los datos en tu planificación y ejecución de campañas de marketing.

Self Paced
Self-Paced
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Discover the power of R Shiny and transform your data into engaging, interactive web applications. This course on edX is designed for everyone interested in data-driven storytelling and application development. You'll learn by creating an interactive map, calculator, journal, and more to showcase America's National Parks biodiversity. Perfect for analysts, scientists, and anyone passionate about making data accessible.

Self Paced
Self-Paced