WSDA for Teams
Prepare your data team for AI-integrated analytics
WSDA helps working analysts integrate AI throughout real analytical workflows, from Excel and SQL to visualization, statistics, validation and communication, without sacrificing judgment or analytical rigor.
- 526K+Trained on LinkedIn Learning
- 4.8★Average course rating
- 25+Years in enterprise data
- #1Bestselling beginner SQL book
- MazdaEnterprise data literacy program
The organizational problem
Your analysts have AI access. That is not the same as an AI workflow.
Most organizations have rolled out AI tools and awareness training. What usually is missing is the layer in between: a shared, repeatable way for analysts to use AI inside the work itself, check what it produces, and stand behind the result in front of a stakeholder.
AI output still requires validation
A query or summary that looks right is not the same as one that is right. Analysts need a habit of checking AI output against the data before it reaches a report.
Ad hoc use does not scale
When every analyst improvises their own approach, quality varies by person. Teams need workflows they can repeat, review and teach to new hires.
Technical skill alone is not enough
Knowing SQL or Excel is the starting point. The harder skill is judgment: framing the question, spotting a wrong answer, and knowing when AI is the wrong tool.
Findings have to survive the meeting
AI-assisted work only creates value when an analyst can explain where the number came from and why it can be trusted.
The WSDA PVC methodology
Walter built PVC from two decades of watching analysts succeed and struggle in real workplace conditions. It gives a team one shared way to work with AI.
- Prompt with precisionGive AI the business context it needs to produce something useful for the question at hand.
- Validate before trustingCheck AI-generated SQL, formulas and analysis against the data itself, not against whether it looks right.
- Communicate with confidenceTranslate AI-assisted findings into language stakeholders can act on, and that the analyst can defend.
What teams learn
Six capabilities your analysts use every week
Your team works through the AI-Integrated Data Analyst program, the same six-step curriculum behind WSDA's individual learning path. Each step applies PVC to a core part of the analytical workflow, so AI becomes part of how the team works rather than a separate tool.
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STEP 01
Data Analysis Fundamentals Using AI
A consistent, systematic approach to cleaning, preparing and exploring data, with AI used as a thinking partner rather than a shortcut.
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STEP 02
Excel Analysis with AI
Faster analysis and reporting in the tool most teams already rely on, with methods analysts can explain and reviewers can follow.
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STEP 03
SQL Database Skills with AI Assistance
Analysts use AI to write and understand queries, then validate every result against the data before it reaches a dashboard or report.
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STEP 04
Data Visualization and AI-Powered Storytelling
Turning analysis into clear visuals and narratives decision-makers can act on, with AI helping on the draft and the analyst owning the message.
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STEP 05
Statistics with AI Interpretation
Sound statistical reasoning with AI-assisted interpretation, so the team can tell a real pattern from noise and explain the difference.
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STEP 06
Advanced Prompting for Complex Analysis
The PVC methodology at full depth: structured prompting for multi-step, ambiguous analysis where accuracy matters most.
How the team program works
A focused pilot, built around your team's real work
Start with one team. The pilot pairs the complete self-paced program with live time with Walter, so analysts learn the workflow and then apply it to the problems they handle every day. Pilots typically include 5 to 25 analysts over about six weeks.
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Phase 01 · Launch
Live kickoff with Walter Shields
- Live workshop for the whole team
- The PVC methodology in your team's context
- Shared expectations for how AI is used
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Phase 02 · Learn
The complete program, self-paced
- Team access to all six steps
- Self-paced, around the working week
- Practical exercises and repeatable workflows
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Phase 03 · Reinforce
Live Q&A and reinforcement
- Live session to work through real questions
- Common gaps addressed as a group
- Next steps for the wider organization
Progress visibility
Completion and progress reporting for the pilot group, where technically available on the learning platform.
Optional customization
Examples, sessions and emphasis tailored to your team's data, tools and priorities.
Pilots are scoped to your team. Tell us about your analysts and goals, and we will recommend a format and share pricing on a short call.
Request a Team PilotBusiness outcomes
What the program is designed to change
The goal is not more AI usage for its own sake. It is AI-assisted analysis your organization can rely on.
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More consistent AI use across workflows
Analysts apply AI the same way across Excel, SQL and reporting, instead of each person improvising.
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Stronger validation of AI-assisted analysis
Checking AI output against the data becomes a routine step, not an afterthought.
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Clearer communication of findings
Analysts explain what they found, how they found it and how confident they are, in language stakeholders can use.
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Confidence with AI in core tools
Practical fluency using AI with SQL, Excel and visualization on the kind of work the team already does.
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A shared analytical framework
PVC gives managers and analysts a common language for reviewing AI-assisted work and onboarding new team members.
Why WSDA
Training built by a practitioner, proven at scale
Walter Shields spent more than 25 years inside organizations, across automotive, healthcare, legal and retail, solving real problems with data before teaching it. WSDA's team program brings that practitioner perspective, and a methodology already used in an enterprise setting, to your analysts.
- LinkedIn Learning instructor with 526,000+ learners
- Nearly 20 professional courses, averaging 4.8 stars
- Author of SQL QuickStart Guide, a bestselling beginner SQL book
- 25+ years in enterprise data across automotive, healthcare, legal and retail
- Corporate training experience, including the WSDA Data Literacy program at Mazda USA
- Creator of the PVC methodology and WSDA's practice tools for analysts
What learners say
How professionals describe Walter's teaching
Reviews from individual learners in Walter's courses.
"Walter is an amazing tutor and explains the basics through to complexity brilliantly. I cannot recommend this enough. The way he builds your analytical thinking is different from every other course I have tried."
MBA, Director Senior Business Analyst
"I loved how Walter contextualized everything so it was not just memorizing syntax but understanding scenarios and the importance of each step. This is how analysts actually think at work."
Data Coordinator
"The course built my confidence step by step, and I could feel my skills improving with each lesson. Walter contextualizes everything so it is not just memorizing syntax. You understand why each step matters."
Business Development Professional
Walter's individual learners include professionals at
- Microsoft
- Amazon
- Oracle
- Target
Request a team pilot
Let's discuss your team
Share a few details and Walter will follow up personally to learn about your analysts, your tools and what you want AI to change.
Request a Team Pilot
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