Statistical Simulation in Python

Starting at USD 39.00
4 hours duration

Learn to solve increasingly complex problems using simulations to generate and analyze data.

This course offers a comprehensive exploration of simulations and their applications in various fields such as Artificial Intelligence, Physics, Computational Biology, and Finance. With the increasing computational power, simulations have become an essential tool for solving complex problems. The course begins by providing a solid foundation in random variables and the necessary tools for running simulations. Through hands-on experience with real-world applications, participants will gain practical skills in simulation techniques. The second chapter focuses on probability concepts, using engaging exercises based on card games and popular probability puzzles. These exercises serve as a framework for understanding probability and culminate in a practical exercise of modeling an eCommerce advertising simulation. In the third chapter, participants will delve into different resampling methods, including bootstrap resampling, jackknife resampling, and permutation testing. These methods will enhance their data analysis process and expand their analytical toolkit. The final chapter of the course explores the practical applications of simulations in the business world. Participants will learn how to model profits, optimize costs, and conduct power analysis. This chapter aims to equip participants with the skills necessary to apply simulations in a business setting. By the end of this course, participants will have a solid understanding of simulations, probability concepts, and resampling methods. They will also have gained practical experience in using simulations for business purposes.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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