Corporate Data Analytics Training Across Excel, SQL, Power BI and Python
A live, instructor-led program that helps corporate teams across the United States build practical analytics skills — from data fundamentals through Excel, SQL, Power BI and Python — taught by specialists in each technology, not one instructor covering everything.
26+ years of training experience • 200+ companies served • 50+ countries reached • specialists across key analytics technologies
26+ Years
Corporate technology training experience
200+ Companies
Organizations served across Yto Nihon's training portfolio
50+ Countries
Professionals reached internationally
Multi-Specialist Team
Different technologies taught by specialists in each area, not a single generalist instructor
Data is everywhere. Useful insight usually isn't.
Manual reports that take too much time to build and rebuild
Spreadsheets scattered across the team, with no shared standard
A team that depends on one person to make sense of the numbers
Indicators that don't match from one report to the next
Information spread across tools and files, hard to bring together
Decisions made more on intuition than on reliable data
Data analytics isn't about learning more tools.
It's about knowing how to move from raw information to a better decision.
A practical journey from data fundamentals to applied analytics.
Step 01
Data Foundations
Instructor: Eduardo Yto
Understand what data, indicators and metrics actually mean for business decisions.
Step 02
Logic for Data
Instructor: Guilherme Trevisan
Build the analytical thinking that comes before any tool.
Step 03
Excel Analytics
Instructor: Eduardo Yto
Organize, treat and analyze business data with confidence in Excel.
Step 04
SQL
Instructor: Luís Gustavo
Query, filter and relate information stored in structured databases. SQL fundamentals are taught using SQL Server.
Step 05
Power BI
Instructor: Luiz Rogério
Turn data into dashboards, indicators and reports that support decisions.
Step 06
Applied Python
Instructor: Guilherme Trevisan
Use Python to automate repetitive tasks and extend everyday analytical work.
Step 07
Applied AI
Instructor: Luís Gustavo
Use AI to support productivity, better questions, and more critical analysis — without replacing the fundamentals.
Step 08
Applied Project
Bring Excel, SQL, Power BI, Python and AI together in a practical, connected exercise.
This is one connected journey, not eight separate courses — each step builds on the one before it.
The tools are connected. So is the learning.
Excel
Organize, analyze and work with business data day to day.
SQL
Query structured data and work with information beyond spreadsheets.
SQL fundamentals are taught using SQL Server.
Power BI
Turn data into dashboards and structured reporting.
Python
Apply logic and automation to everyday analytical work.
Bring the learning together in an Applied Project.
The journey closes with an Applied Project that connects what was learned across Data Foundations, Excel, SQL, Power BI, Python and AI — turning separate skills into one practical, integrated exercise.
AI is part of the modern analytics workflow — not a shortcut around the fundamentals.
AI can support productivity, help ask better questions of the data, and speed up parts of the analysis process. But it doesn't replace the fundamentals: teams still need to understand the data, validate what AI produces, and apply critical thinking to the results. That's why Applied AI comes after Data Foundations, Excel, SQL and Power BI in the journey — not instead of them.
Live, instructor-led data analytics training for teams across the United States.
Corporate delivery can be structured as live online training based on the team's needs, led by an instructor over Microsoft Teams — not pre-recorded content. Because different technologies are taught by different specialists, sessions bring in the right instructor for each part of the journey.
Built around your team, not a fixed syllabus.
For corporate engagements, the learning journey can be adapted in scope and emphasis based on team goals and the technologies most relevant to the organization.
Different technologies. Specialists who actually teach them.
Rather than one instructor covering everything, each part of the journey is led by someone who works specifically in that technology.
Eduardo Yto
Data Foundations + Excel Analytics
Guilherme Trevisan
Logic for Data + Applied Python
Holds a Master's and Doctorate degree.
Luís Gustavo
SQL + Applied AI
Luiz Rogério
Power BI
Designed for the work teams already do with data.
The journey is built around the kind of work most teams already handle — reporting, indicators, spreadsheets, analysis and presenting results — so the skills learned connect directly to day-to-day decision support, not abstract exercises.
Backed by more than two decades of corporate technology training.
Yto Nihon has delivered technology and analytics-related training to organizations across different industries, reaching professionals in 50+ countries over more than 26 years.
Some teams need the full journey. Others need one tool.
Not every team needs all four technologies at once. For teams that need to go deep on a single tool first, Yto Nihon also offers focused, tool-specific corporate training.
Frequently Asked Questions
Yes. The program is built for corporate teams across the United States, not individual career-transition students.
Build a Data Analytics journey that makes sense for your team.
Tell us about your team and which technologies matter most, and we'll follow up with a plan built around what you actually need.
Tell us about your team
Share a few details about your training needs. We'll use them to recommend the right corporate training format for your team.