Data-Driven Decision-Making with Perplexity

Data analysts often spend too much time chasing weak sources, piecing together fragmented answers, and validating research that should be easier to trust. In this course, data analyst Chris French shows you how to use Perplexity as a structured research partner for analytical work, so you can move from broad questions to credible, decision-ready insights. Learn how to write context-rich prompts, run deep multisource research, and assess the quality of the citations and evidence you receive. Through scenarios in market sizing, competitor analysis, and industry research, this course helps you build a repeatable workflow for synthesizing findings and supporting stakeholder decisions with confidence.

Learning objectives
istinguish between traditional search and Perplexity for analytical research tasks.
Write context-rich prompts that define the business question, scope, constraints, and desired output.
Use Deep Research to generate structured, multi-source reports for market, industry, and competitor questions.
Evaluate citations, source quality, and evidence strength to judge whether findings are reliable enough to support a decision.
Investigate data and synthesize findings into a clear, decision-ready brief for stakeholders.