Data Analysis

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Análisis de datos empresariales con R (edX) EdX
Universidad Anáhuac,AnahuacX

Análisis de datos empresariales con R (edX)

Sumérgete en el mundo del análisis de datos empresariales con nuestro curso 'Análisis de Datos Empresariales con R'. Aprenderás a utilizar R Studio para analizar datos complejos, aplicando técnicas que te permitirán tomar decisiones más informadas y estratégicas. Este curso es ideal tanto para profesionales de la empresa como para aquellos interesados en la ciencia de datos.

Self Paced
Self-Paced
Advanced Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Advanced Bayesian Statistics Using R (edX)

Take your understanding of Bayesian inference to the next level with our Advanced Bayesian Data Analysis Using R course. This professional program builds on foundational knowledge to explore complex topics such as modeling latent variables, Bayesian model averaging, generalised linear models, and Markov Chain Monte Carlo (MCMC) methods. Utilize R for practical application and deepen your expertise in statistical analysis.

Self Paced
Self-Paced
Data Analytics Methods for Marketing (Coursera) Coursera
Meta

Data Analytics Methods for Marketing (Coursera)

Dive into the world of Data Analytics Methods for Marketing on Coursera. This course equips you with essential skills to leverage data effectively in your marketing strategies. From understanding audience behavior through segmentation and clustering to applying linear regression for accurate forecasts and assessing advertising effectiveness via experiments, this program is designed to transform how you approach marketing analytics.

Sep 14th 2026
4 Weeks
MATLAB Essentials (edX) EdX
MathWorks

MATLAB Essentials (edX)

Dive into the world of MATLAB with our interactive course that covers essential topics such as data visualization, data analysis, programming fundamentals, and application design. Whether you're new to MATLAB or looking to refine your expertise, this course will equip you with the tools needed for advanced applications in machine learning, signal processing, communications, image processing, and control systems.

Self Paced
Self-Paced
Introduction to Data Analytics for Accounting Professionals (Coursera) Coursera
Association of International Certified Professional Accountants - AICPA

Introduction to Data Analytics for Accounting Professionals (Coursera)

Dive into the world of data analytics tailored specifically for accounting professionals. This comprehensive course will equip you with the foundational knowledge and practical skills needed to harness the power of data in your daily projects, enabling more informed decisions and driving organizational success.

Sep 14th 2026
3 Weeks
Advanced Reproducibility in Cancer Informatics (Coursera) Coursera
Johns Hopkins University

Advanced Reproducibility in Cancer Informatics (Coursera)

Dive into the world of advanced reproducibility with our specialized online course designed for those working in cancer informatics. This course will equip you with practical skills using tools such as git, GitHub, Docker, and GitHub actions to enhance the replicability and reliability of your research studies. Start mastering the art of reproducible science today!

Sep 14th 2026
5-12 Weeks
Modeling Time Series and Sequential Data (Coursera) Coursera
SAS

Modeling Time Series and Sequential Data (Coursera)

Discover the secrets to forecasting future events with our in-depth course on Modeling Time Series and Sequential Data. Whether you're new to time series analysis or looking to refine your skills, this course covers essential techniques like ARMA, ARIMA, and Bayesian modeling to help you build accurate models for trend and seasonality.

Sep 14th 2026
5-12 Weeks
Supervised Text Classification for Marketing Analytics (Coursera) Coursera
University of Colorado Boulder

Supervised Text Classification for Marketing Analytics (Coursera)

Dive into the world of supervised machine learning with our 'Supervised Text Classification for Marketing Analytics' course. Learn how to effectively categorize and label vast amounts of marketing data using deep learning techniques. Gain hands-on experience through Python tutorials and apply what you've learned in a major project.

Sep 14th 2026
4 Weeks