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EasyUphillTRAININGCORPORATE DEVELOPMENT
Data & Analytics

Data Analysis and Visualisation with Excel

Excel remains the most widely used analysis tool in business, and few use it to its full potential. This course takes participants beyond basic formulas into structured analysis, PivotTables, and clear charts that reveal what the numbers mean.

3 DaysIn-house or publicLive online available

Course outline

What this programme covers, module by module.

  1. 01Structuring raw data into a clean and reliable table
  2. 02Using lookup and logical functions with confidence
  3. 03Summarising large data sets with PivotTables and slicers
  4. 04Building charts that communicate the point at a glance
  5. 05Cleaning and validating messy or inconsistent data
  6. 06Creating dashboards that refresh automatically from source
  7. 07Auditing formulas to trace and fix calculation errors

What you will gain

  • Structure raw data for reliable analysis
  • Use lookup and logical functions confidently
  • Summarise data with PivotTables and slicers
  • Build charts that communicate clearly
  • Clean and validate messy data sets
  • Create dashboards that update automatically

Who should attend

  • Analysts and officers who work with data
  • Finance and operations staff
  • Administrators handling reporting
  • Anyone using Excel for analysis

Upcoming sessions

DateCityDurationFeesBook
26 to 28 Oct 2026Pretoria3 DaysR13,000
9 to 11 Nov 2026Durban3 DaysR13,000
8 to 10 Dec 2026Cape Town3 DaysR13,000
11 to 13 Jan 2027Johannesburg3 DaysR13,000
15 to 17 Feb 2027London3 DaysUS$1,500
26 to 28 Apr 2027Dubai3 DaysUS$1,500
21 to 23 Jun 2027Pretoria3 DaysR13,000

Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.

Enquire about this course

Register your team or ask for a tailored in-house quote. We reply within one working day.

WhatsApp usCourse brochure (PDF)
Fees from
R13,000 per delegate
Duration
3 Days
Field
Data & Analytics
Formats
In-house, public, online