By the end of this course, learners will be able to manipulate NumPy arrays, implement gradient descent, clean and transform retail datasets using Pandas, create pivot tables and groupby aggregations, manage string and datetime data, and export results for business reporting. This hands-on case study–driven program begins with NumPy foundations to establish strong numerical computing skills, then transitions into Pandas for retail data management and analysis.
NumPy & Pandas: Analyze & Manage Retail Data
NumPy & Pandas: Analyze & Manage Retail Data
本课程是 Data Analysis with NumPy and Pandas 专项课程 的一部分
位教师：EDUCBA
包含在 
中
您将学到什么
Manipulate arrays, linear algebra, and gradient descent in NumPy.
Clean, transform, and analyze retail datasets with Pandas.
Build pivot tables, groupby reports, and export business insights.
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要了解的详细信息
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添加到您的领英档案
最近已更新！
October 2025
作业
12 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Data Analysis with NumPy and Pandas 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有3个模块
This module introduces learners to the foundations of NumPy, the core numerical computing library in Python. Students will explore array operations, slicing, broadcasting, linear algebra concepts, and optimization techniques such as gradient descent. By the end, they will be able to manipulate arrays effectively and apply numerical methods to analytical problems.
涵盖的内容
10个视频4个作业1个插件
This module focuses on learning Pandas fundamentals using a retail dataset. Learners will gain skills in importing, cleaning, transforming, sorting, and combining data. Through practical exercises, they will acquire the ability to manage and prepare datasets for business insights.
涵盖的内容
9个视频4个作业
This module advances learners into powerful Pandas features such as groupby aggregations, pivot tables, string manipulation, datetime handling, encoding, and reshaping. Students will master advanced techniques to derive actionable insights from retail datasets and prepare results for reporting.
涵盖的内容
9个视频4个作业
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