跳至内容
家Python

Tracks

Statistics Fundamentals in Python

更新 2026年3月
Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.
免费开始赛道

包含优质的 or 团队

PythonProbability & Statistics20小时32,723

创建您的免费帐户

或者

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。

深受数千家公司学员的喜爱

Group

培训2人或以上？

试试DataCamp for Business

曲目描述

Statistics Fundamentals in Python

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data. In this skill track, you'll learn the four fundamentals of statistics using Python, including:✓ Summary statistics and probability ✓ Statistical models such as linear and logistic regression ✓ Techniques for sampling ✓ How to perform hypothesis tests and draw conclusions from a wide variety of data setsBy the end of this track, you'll be ready to apply your statistical skills in Python to analyze data, implement and evaluate statistical models, and draw conclusions from hypothesis test results!

先决条件

本课程没有先决条件。

  • Course

    1

    Introduction to Statistics in Python

    Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

  • Course

    4

    Sampling in Python

    Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

  • Course

    5

    Hypothesis Testing in Python

    Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

  • Project

    奖金

    Hypothesis Testing with Men's and Women's Soccer Matches

    Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

Statistics Fundamentals in Python
5 Courses
跟踪完成

获得成就证明

将此证书添加到您的 LinkedIn 个人资料、简历或个人简介中。
在社交媒体和绩效考核中分享它

包含优质的 or 团队

立即报名

加入 19百万名学习者 立即开始Statistics Fundamentals in Python ！

创建您的免费帐户

或者

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。