Probability and Statistics in Data Science using Python
About this Course
The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks. Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.Created by: The University of California, San Diego
Level: Advanced
Related Online Courses
Thiscoursereviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional... more
El análisis exploratorio de datos (EDA, por sus siglas en inglés, Exploratory Data Analysis) es el proceso o tratamiento estadístico al cual se someten los datos de una muestra con la que se bu... more
Este curso en línea brinda una introducción al análisis de datos para business intelligence. Aprenderás de herramientas y técnicas de estadística descriptiva e inferencial. Serás capaz de analiz... more
Este curso te permitirá desarrollar habilidades como un tomador de decisiones con base a las siguientes competencias: análisis de elementos estadístico de la información conceptos y fun... more
We are all getting familiar with the image of a drone in the sky. Although flying a drone is fun, drones are not toys. More and more UAVs or drones are used by governments and companies to gain... more
Powered by
