Statistical Thinking in Python (Part 1)

Updated on

Course overview

Provider
Datacamp
Course type
Free trial availiable
Deadline
Flexible
Duration
3 hours
Certificate
Available on completion
Course author
Justin Bois

Description

Build the foundation you need to think statistically and to speak the language of your data.
After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear, succinct conclusions from them. This crucial last step of a data analysis pipeline hinges on the principles of statistical inference. In this course, you will start building the foundation you need to think statistically, speak the language of your data, and understand what your data is telling you. The foundations of statistical thinking took decades to build, but can be grasped much faster today with the help of computers. With the power of Python-based tools, you will rapidly get up-to-speed and begin thinking statistically by the end of this course.

Similar courses

Bayesian Statistics: From Concept to Data Analysis
  • Flexible deadline
  • 12 hours
  • Certificate
Probability Theory: Foundation for Data Science
  • Flexible deadline
  • 48 hours
  • Certificate
  • English language

  • Recommended provider

  • Certificate available