Statistics

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

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

Sci: Biology & Life Sciences Statistics & Data Analysis

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
Statistics Modeling Statistical Inference
Details
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)

Statistics & Data Analysis CS: Programming

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
Programming Python Statistics
Details
Practical Time Series Analysis (Coursera) Coursera
The State University of New York

Practical Time Series Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into Practical Time Series Analysis to gain a deep understanding of how to effectively analyze and interpret time-based data. This course is perfect for those who need more than just basic analytics skills but don't have formal training in the field. Learn routine presentation and analysis techniques that will enhance your professional insights.

Nov 2nd 2026
5-12 Weeks
Statistics Probability Equations
Details
Estadística Aplicada a los Negocios (edX) EdX
Galileo University,GalileoX

Estadística Aplicada a los Negocios (edX)

Statistics & Data Analysis

Sumérgete en el mundo de los datos con 'Estadística Aplicada a los Negocios'. Este curso te guiará a través del análisis de datos clave utilizando estadística descriptiva e inferencial, todo enfocado en aplicaciones prácticas para la toma de decisiones empresariales. Aprende a interpretar y utilizar los resultados para impulsar tu negocio.

Self Paced
Self-Paced
Statistics Econometrics Data Analysis
Details
Accounting for Death in War: Separating Fact from Fiction (FutureLearn) FutureLearn
Royal Holloway, University of London,Every Casualty Counts

Accounting for Death in War: Separating Fact from Fiction (FutureLearn)

History

Dive into the challenging yet essential task of determining war casualties with 'Accounting for Death in War: Separating Fact from Fiction'. This course unravels the complexities involved in calculating war deaths, providing you with a deeper understanding of the methods used and their impact on global politics and society. Join us to explore, learn, and practice these critical skills.

Self Paced
3 Weeks
Statistics History War
Details
Data Science: Inference and Modeling (edX) EdX
HarvardX,Harvard University

Data Science: Inference and Modeling (edX)

Statistics & Data Analysis Data Science

Dive into the world of data analysis with edX's 'Data Science: Inference and Modeling' course. This comprehensive program will equip you with the indispensable tools of statistical inference and modeling, enabling you to effectively analyze data influenced by random variation. Learn through a compelling case study on election forecasting and become proficient in two key areas of data science.

Self Paced
Self-Paced
Statistics Inference Modeling
Details
Inferential Statistical Analysis with Python (Coursera) Coursera
University of Michigan

Inferential Statistical Analysis with Python (Coursera)

Statistics & Data Analysis Data Science

Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.

Nov 2nd 2026
4 Weeks
Statistics Statistical Inference Inferential Statistics
Details
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Economics & Finance Business

Dive into the world of finance with our Python and Statistics for Financial Analysis course, where you'll learn essential coding techniques and statistical principles tailored specifically for analyzing stock markets and other financial datasets. This course equips you with the tools needed to make informed decisions in the financial sector using Python's powerful data analysis capabilities.

Nov 2nd 2026
4 Weeks
Python Statistics Inference
Details
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