Data Science Fundamentals Part 2: Unit 1

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Course Overview

What You'll Learn

  • 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.

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.

Course FAQs

Is this an accredited online course?

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To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Data Science Fundamentals Part 2: Unit 1' on the Pearson online class platform, where you can complete your registration.