Introduction to Statistics in Python

Updated on

Course overview

Provider
Datacamp
Course type
Free trial availiable
Deadline
Flexible
Duration
4 hours
Certificate
Available on completion
Course author
Maggie Matsui

Description

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Statistics is the study of how to collect, analyze, and draw conclusions from data. It’s a hugely valuable tool that you can use to bring the future into focus and infer the answer to tons of questions. For example, what is the likelihood of someone purchasing your product, how many calls will your support team receive, and how many jeans sizes should you manufacture to fit 95% of the population? In this course, you'll discover how to answer questions like these as you grow your statistical skills and learn how to calculate averages, use scatterplots to show the relationship between numeric values, and calculate correlation. You'll also tackle probability, the backbone of statistical reasoning, and learn how to use Python to conduct a well-designed study to draw your own conclusions from data.

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