Udemy – Python for Statistical Analysis 2020-3

Description

Python for Statistical Analysis, a learning phase that acquires knowledge of applied statistics to help Python solve real-world problems using state-of-the-art software and libraries. In this time, with real-world examples, and instead of spending hours learning the topics of theory and trying to connect them to real-world problems, we focus entirely on applied statistics. Learn the theory and immediately apply it in Python to everyday tasks to give you the knowledge and skills you need. In this course we deal with modern tools and workflows. This is similar to Reinforcement Learning, where instead of spending hours of time, we solve the state-of-the-art techniques we use. the code of the library, us and finally the features of the latest released apps that we use. It is easy to quickly transfer the numbers from the human territory, the computer is. We are in this era where we are more focused on interpreting and presenting the data.

Which course “Python for Statistical Analysis” will learn:

Insight into the deeper compared to the data
Use Python to solve typical and complex statistical projects related to machine learning
Interpretation and illustration, editions, etc. Integration of edition Illustrated and exploration, graphic
Learn how to test a hypothesis and how to conduct efficient testing using Python

Specification period

Publisher: Udemy
Teacher: Samuel Hinton And Ligency team
Language: English,
Education Level: Introductory to Advanced,
the number of lessons: 56
Duration: 8 hours and 37 minutes