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
Data Science Fundamentals Part 2: Unit 1
This course is part of Data Science Fundamentals, Part 2 Specialization
Instructors: Pearson
Access provided by ExxonMobil
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
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This course is part of the Data Science Fundamentals, Part 2 Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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