Python for Statistical Analysis

Name: Python for Statistical Analysis
Rating: 4.4 (2491 reviews)

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

(2,491 ratings)

53,105 students

Created by Samuel Hinton, Ligency I Team, Ligency Team

Last updated 7/2022

English

English [Auto], Vietnamese [Auto]

What you'll 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

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.

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.
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.
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.

Who this course is for:

Data Scientists who want to add to their skillset statistical analysis
Data Scientists who want to do machine learning but want some more statistical foundations before jumping in
Students wanting to learn applied statistics for research, coursework or business

Featured review

Tom F.

48 courses

8 reviews

3 years ago

More than just an awesome stats refresher. I really love the way they mix basics and more advanced topics based on Python. In each lesson, besides the topic I also learnt extra Python and stats things I did not expect - and I've been doing Python and Deep Learning for quite a while

Samuel Hinton

Astrophysicist, Software Engineer and Presenter

4.5 Instructor Rating
4,155 Reviews
88,391 Students
4 Courses

Hi, I'm Sam and I'm an astrophysicist, data scientist, robotics and software engineer, astronomer and public presenter.

My work right now is all about renewable energy. Battery assets, optimising their utilisation and trading energy in markets to cut out as many fossil fuel generators as humanly possible.

In academia, my primary work involves investigating the nature of dark energy, however I also spend a lot of time advocating of open-source development and proper coding practices.

With years of experience from the financial software industry to machine learning pipelines classifying objects in the night sky, and teaching experience in statistics, software engineering, data manipulation, computational physics, and much more, I'm dedicated to increasing the level of coding proficiency in the scientific fields, and bringing basic coding knowledge to any eager student.

On top of my research work, I've run national coding workshops with content ranging from complete novices up to research experts. I'm excited to bring my knowledge and content to a wider audience, and hope that my direct and to-the-point teaching attitude allows students to understand the core concepts faster and better, saving students time and stress!

Ligency I Team

Helping Data Scientists Succeed

4.5 Instructor Rating
611,184 Reviews
2,251,283 Students
148 Courses

Hi there,

We are the Ligency team. You will be hearing from us when new Ligency courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

Ligency Team!

Ligency Team