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Python for Statistical Analysis

Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries

4.59 / 5.0
52101 students8 hours 39 minutes

Created by Samuel Hinton, offered on Udemy

bestcourses score™

Student feedback

8.9/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 52101 students which left 2349 reviews at an average rating of 4.59. Impressive!

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 8 hours 39 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

8.8/10

This course currently has a bestcourses score of 8.8/10, which makes it a great course to learn from. On our entire platform, only 15% of courses achieve this rating!

Description

Welcome to Python for Statistical Analysis!


This course is designed to position you for success by diving into the real-world of statistics and data science.


  1. Learn through real-world examples: Instead of sitting through hours of theoretical content and struggling to connect it to real-world problems, we'll focus entirely upon applied statistics. Taking theory and immediately applying it through Python onto common problems to give you the knowledge and skills you need to excel.


  2. Presentation-focused outcomes: Crunching the numbers is easy, and quickly becoming the domain of computers and not people. The skills people have are interpreting and visualising outcomes and so we focus heavily on this, integrating visual output and graphical exploration in our workflows. Plus, extra bonus content on great ways to spice up visuals for reports, articles and presentations, so that you can stand out from the crowd.


  3. Modern tools and workflows: This isn't school, where we want to spend hours grinding through problems by hand for reinforcement learning. No, we'll solve our problems using state-of-the-art techniques and code libraries, utilising features from the very latest software releases to make us as productive and efficient as possible. Don't reinvent the wheel when the industry has moved to rockets.

What you will learn

  • Gain deeper insights into data
  • Use Python to solve common and complex statistical and Machine Learning-related projects
  • How to interpret and visualize outcomes, integrating visual output and graphical exploration
  • Learn hypothesis testing and how to efficiently implement tests in Python

Requirements

  • Python basics
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Frequently asked questions

  • Price: $94.99
  • Platform: Udemy
  • Language: English
  • 8 hours 39 minutes
Python for Statistical Analysis thumbnail

bestcourses score: 8.8/10

This course is better than many others in its category.