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Microsoft

Lead Generation with LinkedIn & Power BI

Microsoft via edX

Overview

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Lead Generation with LinkedIn & Power BI is an introductory course for sales management and marketing professionals who want to build a more analytical, data-driven business development pipeline.

The course introduces modern B2B lead generation practices and compares traditional high-volume prospecting with structured, relationship-driven outreach. Learners explore how LinkedIn Sales Navigator can support targeted account research, advanced search architecture, Boolean search logic, buyer persona definition, and decision-maker mapping.

Learners then connect prospecting activity to measurable pipeline performance. Using Power BI, they examine how structured lead data can be imported, modeled, and visualized through foundational dashboards. The course introduces CSV ingestion, basic relational modeling, simple DAX measures, KPI cards, funnel visuals, slicers, and dashboard layout principles designed for sales leadership visibility.

Throughout the course, learners apply concepts through practical activities and assignments. They create a LinkedIn prospecting blueprint, organize lead and account data, interpret sales funnel metrics such as lead response time, channel conversion, and customer acquisition cost, and build a 90-day prospecting optimization plan.

By the end of the course, learners will be prepared to target high-value prospects more effectively, track pipeline performance, diagnose funnel friction, and use data insights to improve lead generation efficiency and sales conversion outcomes.

Syllabus

  • Compare traditional and data-driven prospecting frameworks.
  • Design high-velocity outreach sequences.
  • Build LinkedIn Sales Navigator search architectures.
  • Apply Boolean operators for targeting.
  • Map target account decision-makers.
  • Create structured lead metadata ledgers.
  • Import CSV lead data into Power BI.
  • Explain sales pipeline star schemas.
  • Create or interpret basic DAX measures for conversion, CAC, and response velocity.
  • Calculate conversion and CAC metrics.
  • Visualize funnel performance with dashboards.
  • Use KPI cards and slicers.
  • Diagnose sales funnel friction points.
  • Interpret pipeline performance data.
  • Develop a 90-day optimization plan.
  • Recommend data-informed prospecting improvements.

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