This course teaches how to ask the right questions and extract meaningful insights from complex datasets. Through hands-on lessons, you’ll master industry-standard Python libraries such as matplotlib and seaborn, enabling you to create compelling visualizations like histograms, boxplots, and scatter plots. You'll learn to uncover patterns, relationships, and correlations within your data, and develop a critical eye for interpreting results. You'll also learn about the pitfalls of data interpretation, including the impact of mixed effects and the nuances of Simpson’s Paradox, ensuring you can navigate and communicate findings with confidence. Whether you’re a beginner or looking to deepen your analytical toolkit, this course will empower you to transform raw data into actionable knowledge.
Data Science Fundamentals Part 2: Unit 1
本课程是 Data Science Fundamentals, Part 2 专项课程 的一部分
位教师：Pearson
包含在 
中
您将学到什么
Gain a foundational understanding of Exploratory Data Analysis (EDA) and its historical context.
Develop practical skills in Python data visualization using matplotlib and seaborn.
Learn to identify and interpret relationships and correlations within datasets using advanced charting techniques.
Recognize and avoid common pitfalls in data analysis, including mixed effects and Simpson’s Paradox.
您将获得的技能
要了解的详细信息
添加到您的领英档案
August 2025
1 项作业
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
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有1个模块
This module introduces Exploratory Data Analysis (EDA), emphasizing its historical context and importance in asking the right questions of data. Learners will use Python’s matplotlib and seaborn libraries to visualize and analyze data, starting with single-variable plots like histograms and boxplots, then advancing to multi-dimensional visualizations such as scatter plots. The module also covers identifying relationships and correlations between variables, and concludes with a discussion of statistical pitfalls like Simpson’s Paradox, highlighting the need for careful interpretation of data.
涵盖的内容
20个视频1个作业
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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提供助学金，