学院 / 课程 / COURSES / PYTHON-DATA-SCIENCE10 LESSONS · 11时 0分
课程 02 / 08
Python 编程中级Python for Data Science: From Arrays to Analysis
Master the essential Python libraries for data science: NumPy, pandas, matplotlib, and seaborn. Learn to manipulate, analyze, and visualize data effectively, building a solid foundation for machine learning.
课程数据表v2.1
课时10
总时长11时 0分
难度中级
分类Python 编程
类型免费
更新于2025-11-26
语言EN · RU · ZH
§A · 目标
您将能够做什么。
01.Master NumPy for efficient numerical computing
02.Use pandas for data manipulation and analysis
03.Create compelling visualizations with matplotlib and seaborn
04.Perform exploratory data analysis (EDA) workflows
05.Understand statistical foundations for data science
06.Work with various data formats (CSV, JSON, APIs)
07.Complete an end-to-end data analysis project
§B · 大纲
所有课程。按顺序阅读，或跳转。
№课程类型时间
01NumPy Fundamentals: The Foundation of Scientific Python概念· 75 min75 min→02Advanced NumPy: Linear Algebra and Array Manipulation概念· 60 min60 min→03Pandas Basics: Series and DataFrames概念· 75 min75 min→04Data Wrangling with Pandas: Transform and Clean概念· 75 min75 min→05Data Input/Output: Loading and Saving Data概念· 45 min45 min→06Matplotlib Fundamentals: Creating Publication-Quality Plots概念· 60 min60 min→07Seaborn: Statistical Data Visualization概念· 60 min60 min→08Exploratory Data Analysis: Discovering Insights概念· 75 min75 min→09Statistical Foundations for Data Science概念· 60 min60 min→10Project: End-to-End Data Analysis概念· 75 min75 min→