Python for Statistical Analysis

This course will prepare you for success by immersing you in the realm of statistics and data science. This is one of the best online statistical analysis courses.


Real-life examples will be used to teach you: This course will focus solely on applied statistics, rather than sitting through hours of theoretical content and striving to apply it to real-world situations. Taking theory and applying it to real-world issues using Python to offer you the knowledge and skills you need to succeed.


You'll get the following presentation-related outcomes: Calculating numbers is simple, and it is increasingly becoming the domain of machines rather than people. The instructors place a strong emphasis on analyzing and visualizing outcomes, incorporating visual output and graphical exploration into our workflows. Plus, supplementary content on how to spice up images for reports, publications, and presentations in order to stand out from the crowd.

The following are some of the modern tools and workflows used in this course: This isn't school, so we're not going to spend hours solving problems by hand for reinforcement. The educators use cutting-edge methodologies and code libraries to address their difficulties, incorporating features from the most recent software releases to make them as productive and efficient as possible.


What you will learn

  • Obtain a deeper understanding of data
  • Python may be used to address both simple and complex statistics and machine learning applications.
  • How to evaluate and display results using graphical exploration and visual output
  • Learn how to use Python to perform hypothesis testing and how to quickly implement tests.


Who this course is for

  • Anyone with a basic understanding of R who wants to advance their expertise.
  • Anyone who has finished the R Programming A-Z course already.
  • This course is not intended for full R beginners.


Instructor: Kirill Eremenko

Udemy rate: 4.5/5.0 (2,360 ratings)

Enroll here: https://www.udemy.com/course/python-for-statistical-analysis/

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