Build your statistics and probability expertise with this short course from the University of Leeds. The first week introduces you to statistics as the art and science of learning from data. Through multiple real-life examples, you will explore the differences between data and information, discovering the necessity of statistical models for obtaining objective and reliable … [Read more...] about Statistical Methods
Probability and Statistics
Statistics and Data Analysis with Excel, Part 1
Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the … [Read more...] about Statistics and Data Analysis with Excel, Part 1
Model Diagnostics and Remedial Measures
This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless. This course is part of the Performance Based Admission courses for the Data Science … [Read more...] about Model Diagnostics and Remedial Measures
Datenanalyse mit R und dplyr
In diesem Projekt wirst du das erfolgreiche Datenanalyse-R-Paket "dplyr" so benutzen, dass deine nächste Datenanalyse oder -transformation zum Erfolg wird! Wir werden dich in die Lage versetzen, mit dem dplyr-Paket in R eigene Datenanalyse-Pipelines zu bauen, die dir analytische Einblicke in einen Datensatz offenbaren. Während des Projekts wirst du einen Datensatz flexibel … [Read more...] about Datenanalyse mit R und dplyr
Regression and Classification
Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! This course can be taken for academic credit as part of CU Boulder’s Master of … [Read more...] about Regression and Classification