Most teams don't have a data problem. They have a consistency problem.

One person writes the queries. Everyone else waits on them. Reports get built three different ways by three different people. Decisions stall because the numbers don't agree, and nobody's sure which version is right.

Sending one employee to a course doesn't fix that it just moves the bottleneck. Real capability comes when a team learns the same tools, the same standards, and the same way of thinking, at the same time.

That's what team training is for: not scattered individual upskilling, but a team that comes out aligned.

Your team learns from data professionals who are in the field. Not career trainers who left it years ago.

Data Analytics, Simplified is led by Lorita Shaw, a data professional with over 13 years of experience across Senior Data Analyst, Senior Analytics Engineer, and Senior Data Engineer roles building ETL pipelines, ensuring data quality in cloud environments, and turning ambiguous business questions into decisions.

She's supported by a team of instructors who all currently work in data and analytics. That matters more than it sounds: your team learns how data actually works inside an organization today the real tools, the real trade-offs, the messy real-world context not a textbook version that's five years out of date.

A team that can run a query isn't the same as team that knows which query matters. 

Plenty of programs teach buttons and syntax. What sets a capable team apart is understanding why the work matters connecting every analysis back to a business decision. That's the framework we build into everything we teach:

Task → Data → Decision → Money.

What was the task? What data did it use? What decision does it support? And what does that decision affect revenue, cost, risk, compliance, efficiency, the customer?

Your team leaves able to do more than produce a dashboard. They can explain why it should exist, who it's for, and what it's worth the difference between a team that reports numbers and a team that drives decisions.

Built around your team. Not a fixed syllabus.

1. Scoping Call + Skills Assessment. We start by understanding your team. Current skill levels, the tools they use, the reporting or analysis that's bottlenecked, and what 'better' looks like for you. We assess where the team actually is, so the training targets real gaps instead of guessing. 
2. A tailored plan. We scope the tools, depth, format, and schedule to your team. A focused SQL intensive, a broader analytics foundation, or a mix. Delivered live and kept small enough that people can actually ask questions. 
3. Training on real context. Wherever possible, sessions use examples that mirror your teams actual work. Why? Because skills tick when they're tied to problems people recognize. 
4. Proof it worked. We reassess at the end, so you can see the lift. Not just assume it. Your team receives certificates of completion, and you receive a recap of what was covered and where the team grew.

What your team walks away with

• A team working from the same tools and the same standards, instead of five personal workarounds.
• Fewer reporting bottlenecks more people who can pull, clean, and interpret data without waiting in line.
• The ability to connect the work to the decision it supports: task → data → decision → money.
• Confidence to work through unfamiliar problems, not just repeat a tutorial.
• Measurable growth - a before-and-after skills assessment shows exactly how far the team moved.
• Something to show for it - completion certificates for the team, and a recap report for you.

Training that doesn't evaporate.

The biggest risk with any team training isn't the sessions it's the month after, when everyone drifts back to old habits. Our model is built to prevent that: live practice, real application, and ongoing reinforcement so the capability sticks instead of fading.

Scheduled around your team.

Live and interactive, with format and timing scoped so training fits your team's work  not the other way around.

Experience in regulated, high-stakes environments.

 Our background spans healthcare, clinical research, pharma, and financial services industries where data accuracy, governance, and compliance aren't optional. If your team works in a regulated space, we've worked in your world.

Who it's for.

Managers and team leads who need their people aligned on the same data skills and who are tired of one person being the single point of failure for every report.

HR and L&D teams investing in practical, job-relevant analytics training employees will actually use.

Whether it's a five-person team leveling up on SQL or a department standardizing how it works with data, we scope it to fit.