专为Python初学者设计的数据分析黄金课程，系统学习NumPy、Matplotlib与Pandas三大核心库，从数值计算到数据清洗再到可视化，实现全流程技术闭环，助力进阶机器学习。
原始标题：Python Library: Numpy, Matplotlib.pyplot and Pandas
本课程是专为具备 Python 基础的初学者打造的数据科学黄金启航课，通过由浅入深的步骤指导，系统性地传授 NumPy（高性能多维数组与向量化计算）、Matplotlib.pyplot（从单图定制到 gridspec 多图联动布局的可视化） 以及 Pandas（DataFrame 数据清洗、行过滤与缺失值治理） 三大数据分析核心库，旨在帮助零经验学员打通“数值计算、数据治理、直观绘图”的全流程技术闭环，使其在毕业时不仅能熟练驾驭底层语法，更具备独立清洗脏数据并输出专业可视化报告的实操能力，为后续进阶机器学习与大数据分析奠定坚实的工具底座。
Published 8/2026
Created by Aris Menachekanian
MP4 | Video: h264, 3840×2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 46m ) | Size: 874 MB
Numpy, Matplotlib.pyplot and Pandas
What you’ll learn
⚡ numpy
⚡ matplotlib.pyplot individual plots
⚡ matplotlib.gridspec multiple plots one figure
⚡ Pandas
Requirements
❗ Basic Python
Description
Master the foundational tools of modern data analysis with this beginner-friendly course onNumPy, Matplotlib.pyplot, and Pandas. Designed specifically for absolute beginners with little to no prior experience, this great training provides a clear, step-by-step introduction to Python’s core data science ecosystem. You will begin your journey withNumPy, where you will learn how to handle high-performance multidimensional arrays, perform vector operations, and execute essential mathematical calculations efficiently. Next, you will move toMatplotlib.pyplot to learn how to visualize those numerical arrays. You will gain practice generating key plot types—including line plots, scatter plots, bar charts, and histograms—while customizing visual elements like labels, titles, legends, and colors. Finally, you will learn aboutPandas, the premier library for data manipulation. Here, you will discover how to work with DataFrames and Series, clean messy data, filter rows, handle missing values, and many more. By the end of this course, you will possess a solid conceptual foundation and practical skills to confidently process, plot, and analyze data using Python.
Who this course is for
⭐ Any one who is a beginner and want to learn about numpy, matplotlib and pandas
此处内容需要权限查看
会员免费查看
