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Technical skills courses

Data analysis with Excel course for companies

A data analysis with Excel course for staff who already master the tool and still do not know what to do with the data: what to clean, which question to answer, which indicator to compute and how to tell it. In 16 hours your team learns the full method —ask, clean, explore, compute, communicate— with Power Query, pivot tables, Power Pivot and dashboards, on a real dataset from your operation.

Data analysis with Excel course

What is the data analysis with Excel course?

It is a 16-hour program that teaches how to analyze data, not just how to use Excel. It starts with the business question (why is margin falling?, which branch underperforms?, which students drop out?), continues with cleaning in Power Query, exploration with pivot tables and charts, indicator calculation with Power Pivot and simple measures, trend and outlier detection, and closes with a dashboard and a findings report management understands. It is the central stretch of the data analysis learning path from Excel to Power BI and the natural step before the Power BI course.

How long is the course and how is it delivered?

The exact duration is in the first card. It runs on-site at your company, live virtual for teams in several locations or self-paced on the platform; every participant who meets attendance and assessment receives a DC-3 certificate with the STPS, and Geedle Bot answers questions afterwards with the exact minute of the recording.

Duration

16 hours

Formats

Live virtual · On-site · Self-paced

Certificate

DC-3 · STPS

AI agent

Geedle Bot answers questions 24/7 with the exact minute of the recording

Investment

Proposal with three scope options and a closed price in under 24 business hours

What your team will be able to do

Learning objectives observable on the job.

  • Frame business questions and define indicators

    Move from "I want a report" to a concrete question, pick the indicator that answers it and document its definition and source.

  • Clean and prepare data with Power Query

    Import from several sources, standardize text and dates, remove duplicates and errors, unpivot and leave the process reproducible.

  • Explore and compute with pivot tables and Power Pivot

    Segment, group, compare periods, compute share and variation, detect outliers and relate tables with Power Pivot.

  • Communicate findings with dashboards and reports

    Choose the right chart, design a one-page dashboard and write a findings report with actionable recommendations.

Syllabus

What does the course syllabus include?

Six modules in order, each with a deliverable you apply in your operation the following week. Exercises use real files and cases from your organization, each module's assessment is recorded on the platform and serves as evidence for the DC-3 certificate.

  1. The data analysis method

    Question, hypothesis, data needed, indicator and decision; data types; mistakes that ruin an analysis (samples, misleading averages, correlation and cause).

    Analysis brief with question and indicators
  2. Preparing data with Power Query

    Connecting to files and folders, cleaning text and dates, conditional columns, unpivot, merging sources and one-click refresh.

    Clean, reproducible dataset
  3. Exploring with pivot tables

    Grouping and segmenting, calculated fields, percent of total and of row, period comparison, distribution and frequencies.

    Documented exploration
  4. Indicators with Power Pivot

    Data model, relationships, calendar table, sum, count, average, share and variation measures, and their written definition.

    Indicator catalog
  5. Trends, seasonality and outliers

    Moving average, trend line, monthly seasonality, identifying outliers and what to do with them.

    Trend analysis of one indicator
  6. Dashboard and findings report

    Chart choice, one-page dashboard with slicers, findings report with recommendations and a plan to move to Power BI.

    Dashboard + report presented to management
01

Who is this course for?

Analysts, coordinators and leads in finance, sales, operations, quality, HR, planning and registrar who receive data and must turn it into decisions; evaluation liaisons in government; and anyone who wants to grow into an analyst from their current role. Requires the Excel intermediate level (pivot tables and lookup functions) or equivalent experience.

02

What changes in the company after the course?

A real, finished analysis: a clean, reproducible dataset with Power Query, a set of defined and documented indicators (how they are computed, with which data and how often), an Excel dashboard that refreshes with one click and a one-page findings report with recommendations. The team stops delivering tables and starts delivering answers, and is ready to take the same model to Power BI.

Want this course at your company?

Request the proposal for the data analysis with excel course: three scope options with a closed price in under 24 business hours.

For companies, universities and government

01

For companies

Sales, finance, operations and quality answer concrete questions (margin, compliance, turnover) with their own data and deliver dashboards and reports management uses. We apply it in the courses for manufacturing and industry.

02

For universities

Planning, registrar and finance analyze enrollment, dropout, graduation and budget with a reproducible method and a dashboard per faculty. It is part of the courses for university administrative staff.

03

For government

Evaluation and planning liaisons turn registries and program reports into documented indicators and dashboards for the comptroller, with a DC-3 certificate. It is within the courses for government and the public sector.

Case studies

Projects we have already delivered

Real projects told with facts, not promises.

  • One team from start to finish. Pedagogy, design, development and consulting — nothing critical subcontracted.
  • Fixed price, no surprises. A proposal with three scopes and a closed price for each. You choose the size of the step.
  • We listen before we quote. A free, no-strings assessment: you keep a useful report even if we don’t work together.
Participant asking Geedle Bot on a laptop at night; the agent replies with minute 42:15 of the course recording
Artificial intelligence

An AI agent supports every participant during and after the course

Geedle Bot is trained on the syllabus, materials and recordings of your course. Participants ask in plain language and get an exact answer, not a generic one.

  • Knows every detail of the course: dates, syllabus, deliverables and certificate criteria
  • Solves problems in real time, at any hour, from Moodle, WhatsApp, Teams or Slack
  • Delivers the exact minute and second of the recording where the instructor explained the topic
  • Reinforces what was covered with summaries and review questions, and escalates to the instructor when needed
  • Shows HR which topics raise the most questions so the course can be adjusted

Which format suits each course?

All of them issue a DC-3 certificate and leave records on the platform; what changes is how people practice and how the calendar is organized.

Live virtualOn-site at your companySelf-paced on the platform
Ideal forTeams across several sites or remoteHands-on practice, team dynamics and brigadesRotating shifts and large workforces
InteractionLive instructor, breakout rooms and real casesInstructor in the room, role-plays and practice with equipmentMicrolessons, challenges and automatic assessments
Typical duration2-to-4-hour sessions on different days4-to-8-hour days2 to 4 weeks at your own pace
RecordsAttendance, participation and assessment on the platformRoster, assessment and photo evidenceProgress, grades and time on the platform
Questions between sessionsGeedle Bot 24/7Geedle Bot 24/7Geedle Bot 24/7
CertificateDC-3 with the STPSDC-3 with the STPSDC-3 with the STPS
FAQ

Frequently asked questions about the data analysis with excel course

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