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Coursera

Advanced Exploratory Data Analysis

Coursera via Coursera

Overview

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Advance your data analysis skills by learning how to turn messy business questions into clear, structured exploratory analysis. In this course, you’ll build practical exploratory data analysis (EDA) skills used in roles like data analyst, business analyst, product analyst, marketing analyst, and operations analyst. You’ll practice framing an analysis plan, exploring relationships between business metrics, building scatter plots, adding trend lines, measuring correlation, and using multivariate analysis to uncover deeper patterns. This is a non-traditional, skill-based learning experience organized around real workplace tasks rather than a fixed lecture sequence. The course is designed to mirror responsibilities you may see in job descriptions, such as analyzing KPI relationships, investigating drivers of performance, and generating hypotheses for further research. You can personalize your path based on what you already know, spend more time on the skills you need, and skip content when it’s not necessary. The course brings together high-quality lessons from expert instructors, selected for the strongest coverage of each skill so you can build practical, career-relevant EDA experience. This course is a strong fit if you already have basic experience with data analysis, spreadsheets, or introductory statistics. By the end of the course, you’ll be able to turn business questions into a structured exploratory data analysis plan for reports and metric investigations. You’ll use scatter plots, trend lines, and correlation to analyze relationships between variables, then extend your analysis with multivariate techniques, identify possible confounding variables, and generate testable hypotheses for deeper research.

Syllabus

  • Start Here: Get Oriented and Check Your Skills
    • Start here to learn how this skill-based course works and find your recommended starting point. You’ll take a short, ungraded diagnostic to check your current skills, then decide whether to go directly to the graded skill assessments or review targeted learning content first.
  • Job Task 1: Frame and Run an Exploratory Analysis on Business Metrics
    • Use this module to build the skills for the job task Frame and Run an Exploratory Analysis on Business Metrics. You’ll learn how to translate a business question into an analysis plan, use scatter plots and trend lines to explore relationships, and apply correlation to summarize patterns between key metrics. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.
  • Job Task 2: Interpret EDA Responsibly and Extend It to Multivariate Insight Generation
    • Use this module to build the skills for the job task Interpret EDA Responsibly and Extend It to Multivariate Insight Generation. You’ll learn how to interpret exploratory findings carefully, distinguish correlation from causation, use multivariate visualizations to compare patterns across variables, and generate testable follow-up hypotheses. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.
  • Wrap Up: Review Your Skill Achievement and Choose Your Next Path
    • Review the skills you practiced and demonstrated in this course, then prepare to describe them in career-relevant ways. You’ll also explore recommended skill paths that can help you continue building related job-ready skills.

Taught by

Professionals from the Industry

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