课程

Python 数据科学入门

基础技能水平

更新时间 2025年11月

用 Python 深入学习数据科学，掌握高效分析和可视化数据的方法。无需编码经验或技能。

免费开始课程

PythonProgramming

4小时

13 视频

44 道练习

3,700 XP

490K+

成就证明

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课程描述

开启您的数据科学之旅！即使您从未写过一行代码，也能跟上本课程，见证 Python 在数据科学中的强大能力。您将用数据来破解 Bayes（被绑架的金毛寻回犬）的谜案，并在这一过程中熟悉 Python 的基本语法，以及常用的数据科学库，如 Matplotlib（用于绘制图表）和 pandas（用于处理表格数据）。视频包含实时字幕，您可以点击视频左下角的 "Show transcript" 进行显示。课程术语表位于右侧的资源区域。若要获得 CPE 学分，您需要完成课程并在合格测评中达到 70% 的得分。您可以点击右侧的 CPE 学分提示进入测评。

先决条件

本课程无先修要求

1

Getting Started in Python

Welcome to the wonderful world of Data Analysis in Python! In this chapter, you'll learn the basics of Python syntax, load your first Python modules, and use functions to get a suspect list for the kidnapping of Bayes, DataCamp's prize-winning Golden Retriever.

Dive into Python

Importing Python modules

Correcting a broken import

Creating variables

Creating a float

Creating strings

Correcting string errors

Valid variable names

Fun with functions

Load a DataFrame

Correcting a function error

Snooping for suspects

2

Loading Data in pandas

In this chapter, you'll learn a powerful Python libary: pandas. pandas lets you read, modify, and search tabular datasets (like spreadsheets and database tables). You'll examine credit card records for the suspects and see if any of them made suspicious purchases.

What is pandas?

Loading a DataFrame

Inspecting a DataFrame

Selecting columns

Two methods for selecting columns

Correcting column selection errors

More column selection mistakes

Selecting rows with logic

Logical testing

Selecting missing puppies

Narrowing the list of suspects

3

Plotting Data with Matplotlib

Get ready to visualize your data! You'll create line plots with another Python module: Matplotlib. Using line plots, you'll analyze the letter frequencies from the ransom note and several handwriting samples to determine the kidnapper.

Creating line plots

Working hard

Or hardly working?

Adding text to plots

Adding a legend

Adding labels

Adding floating text

Styling graphs

Tracking crime statistics

Playing with styles

Identifying Bayes' kidnapper

4

Different Types of Plots

In this final chapter, you'll learn how to create three new plot types: scatter plots, bar plots, and histograms. You'll use these tools to locate where the kidnapper is hiding and rescue Bayes, the Golden Retriever.

Making a scatter plot

Charting cellphone data

Modifying a scatterplot

Making a bar chart

Build a simple bar chart

Where did the time go?

Making a histogram

Modifying histograms

Heroes with histograms

Recap of the rescue

Python 数据科学入门

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