Statistics

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Probability: Distribution Models & Continuous Random Variables (edX) EdX
Purdue University,PurdueX

Probability: Distribution Models & Continuous Random Variables (edX)

Dive into the world of statistics and data science with our Probability: Distribution Models & Continuous Random Variables course. Gain a deep understanding of continuous random variables and learn to apply essential probability distribution models such as normal, exponential, gamma, and beta distributions. Perfect for aspiring information scientists and analysts looking to refine their skills.

No sessions available
5-12 Weeks
Técnicas de Análisis de Datos y Big Data (URJC) URJCx
Universidad Rey Juan Carlos

Técnicas de Análisis de Datos y Big Data (URJC)

Este curso introductorio te guiará por el mundo del análisis de datos y big data, proporcionándote las herramientas esenciales para procesar, analizar y construir modelos estadísticos a partir de grandes conjuntos de datos. Aprenderás a convertir información en conocimiento útil para la toma de decisiones estratégicas.

No session available
5-12 Weeks
Introduction to Statistics (Stepik) Stepik
Bioinformatics Institute

Introduction to Statistics (Stepik)

Embark on a four-week journey into the fundamentals of statistics with our 'Introduction to Statistics' course on Stepik. Whether you're new to data analysis or looking to refine your skills, this course offers an in-depth exploration of key statistical methods and concepts that are crucial for interpreting and analyzing data effectively.

Self-paced
Self-Paced
Statistics and R (edX) EdX
HarvardX,Harvard University

Statistics and R (edX)

Dive into the world of data analysis with 'Statistics and R' on edX. This course is perfect for beginners in the life sciences who want to understand basic statistical concepts and learn how to use R programming to analyze data. Gain proficiency in computing p-values and constructing confidence intervals, all while enhancing your R skills.

Self Paced
Self-Paced
Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced
Self-Paced
Data, Models and Decisions in Business Analytics (edX) EdX
Columbia University,ColumbiaX

Data, Models and Decisions in Business Analytics (edX)

Discover the essential tools and methods for leveraging data in your business strategy. This course will equip you with the skills needed to make data-driven decisions, enhancing your ability to navigate uncertainty and improve operational efficiency across various sectors such as service operations, marketing, transportation, and finance.

This course is archived
5-12 Weeks
Teaching Statistics Through Inferential Reasoning (MOOc-Ed) MOOC-Ed
NC State University

Teaching Statistics Through Inferential Reasoning (MOOc-Ed)

Embark on an educational journey designed to transform the way statistics are taught. Our 'Teaching Statistics Through Inferential Reasoning' course equips educators with innovative strategies to foster critical thinking and data literacy among students. Dive into a curriculum that emphasizes inferential reasoning, enabling learners to draw meaningful conclusions from data samples.

No sessions available
5-12 Weeks
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Dive into Probability and Statistics in Data Science using Python on edX. This course is tailored for aspiring and professional data scientists aiming to harness the power of statistical reasoning and probabilistic methods to derive meaningful insights from data. With a focus on practical application, you'll learn how to use Python to implement these concepts effectively.

Self Paced
Self-Paced