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8/11/2020
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Python for Statistical Analysis is a Python-assisted training program in applied statistics skills that solves real-world problems with state-of-the-art software and libraries. In this course, you will encounter real-world examples, and instead of spending hours learning theoretical topics and trying to connect them to real-world issues, we focus entirely on applied statistics. Learning the theory and applying it immediately to Python for common issues will give you the knowledge and skills you need. In this course we will work with modern tools and workflows, this is not the same as reinforcement learning at the expense of hours, and instead we use state-of-the-art techniques to solve problems, coding libraries And finally, we use the features of the latest published programs. Condensing numbers is easy and is rapidly being transferred from human territory to computers. In this course, we will focus more on the interpretation and visualization of data.
Gain deeper insights into data
Use Python to solve common and complex statistical and machine learning related projects
How to interpret and visualize outputs, integrate illustrated output and graphical exploration
Learn hypothetical tests and how to use Python tests efficiently
Publisher: Udemy Instructors: Samuel Hinton and Ligency Team English language Level of training: basic to advanced Number of courses: 56 Duration: 8 hours and 37 minutes
Python basics
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English subtitle
Quality: 720
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