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Coursera

Data Analysis Techniques

via Coursera

Overview

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Develop your ability to validate, analyze, and visualize secondary market data gathered through Perplexity. You will learn to verify source credibility, identify market trends, perform comparative analyses across competitors and segments, synthesize findings from multiple sources, and create clear research visuals for analysis deliverables. This course is designed for entry-level market research analysts, business analysts, and financial research associates who want to build stronger data validation and analytical skills using AI-assisted research tools. Familiarity with basic secondary research concepts is helpful but not required. By the end of this course, you will be able to: - Validate source credibility and verify market data consistency across Perplexity outputs. - Analyze market trends, comparative data, and cross-source patterns in secondary research. - Synthesize findings from multiple sources into reconciled summaries with confidence levels. - Create clear data visualizations with proper source attribution for research deliverables.

Syllabus

  • Validate Market Data Sources
    • Learners produce a complete secondary research brief on the plant-based snack market, integrating market research, business research, competitor analysis, and benchmarking skills from LC 1.
  • Explore Market Trend Analysis
    • Learners apply Perplexity research to build a structured timeline of market events, technology shifts, and demand signals for a defined industry and period.
  • Perform Data Analysis Comparisons
    • Learners apply comparative analysis to secondary market data across competitors, segments, regions, or time periods using Perplexity-sourced evidence.
  • Synthesize Market Data Insights
    • Learn to combine findings from multiple Perplexity research threads into a single reconciled synthesis note that organizes evidence by theme, resolves contradictions, flags duplicates, and communicates confidence to stakeholders.
  • Create Data Visualizations Effectively
    • Learn to match market research data types and analytical purposes to the four most useful chart types (line, bar, stacked/composition, gap) so that every visualization communicates its point in seconds.
  • Project: Financial Performance Snapshot
    • Produce a complete, portfolio-ready market analysis report on the functional beverages industry that integrates source validation, trend analysis, comparative analysis, cross-source synthesis, and data visualization skills into a single client-facing deliverable.

Taught by

Perplexity Coursera

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