Microsoft Excel Intermediate (Level 2)

You know the formulas. The data still takes all afternoon.

The Level 1 gap closes fast. The Level 2 gap is where the hours are. It is the person who exports two reports and matches them by eye, who retypes data because the format is wrong, who builds the same summary by hand every month.

None of that is a knowledge problem exactly. They have heard of lookups. They have not been shown the pattern that turns a two hour reconciliation into a formula. This workshop is that gap, taught on the work they are actually doing.

Operations and finance leaders use this where reporting takes days it should not. HR and learning and development leaders use it for staff whose Excel plateaued years ago. Participants bring their own real files, and most leave having automated something they had accepted as unavoidable.

Content, datasets, and examples are built around your actual work before delivery. Most groups train live online, and on-site in-person delivery is available by request. This workshop is available by request only, with a three participant minimum, and sits alongside our other data analytics and data literacy workshops.

This course includes

  • Live, instructor led workshop delivered in two sessions
  • Hands on work with your own real files and messy data
  • The lookup family taught properly, including the modern approach
  • Conditional logic and data cleaning techniques
  • Digital learning materials and take home reference guides
  • Certificate of completion for every participant

Description

The first session is getting data from where it is to where you need it. Participants learn the lookup family properly, including why the classic approach breaks and what to use instead, and practice matching two datasets that do not quite agree. This is usually where the biggest single time saving in the workshop lands.

The second session is logic and cleaning. Participants build conditional formulas that handle real exceptions rather than the tidy case, and learn to split, combine, and standardize messy imported data without retyping any of it. They work on their own bad data, which is more instructive than clean examples.

The workshop closes on summarizing. Participants learn to turn a large table into an answer a manager can read, using functions that aggregate conditionally, and build a report that updates rather than one they rebuild.

What You'll Learn at a Glance

  • Pull data across sheets and files with lookups that do not break
  • Match two datasets that do not quite agree
  • Build conditional logic that handles the exceptions, not just the tidy case
  • Clean, split, and standardize imported data without retyping it
  • Summarize large tables with conditional aggregation
  • Build a report that updates instead of one you rebuild
  • Identify the manual work in your week that a formula should be doing

Details

Duration

7 hrs (2 sessions)

Prerequisites

Participants should be comfortable entering data, writing basic formulas, and understanding cell references. Those without that foundation should start with Microsoft Excel Beginners (Level 1).

Your Microsoft Office Training Goals, Customized to You

DWC provides expert Microsoft Office training aligned to your organization’s needs, your funding requirements, and your participants’ skill levels. With customization at every level, from content to scheduling to delivery format, DWC builds Microsoft Office training programs that produce measurable outcomes.

20,000+ Participants Trained | 90% Completion Rate | 1,500+ Organizations Served

Tuition

Microsoft Excel Intermediate (Level 2) is available by request only, scheduled around your team.

  • $359 per participant, with a three participant minimum
  • Private training: request a custom quote. One on one sessions and teams below the three participant minimum are priced case by case
  • Larger groups: request a custom quote. We price larger cohorts case by case based on group size, schedule, and delivery format

Request a quote and we will build pricing around your team.