Data Analysis – Essentials

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Meet your facilitator

Tomi Dayo-Isijola is the managing partner Sparxe Limited, a tech-consulting firm based in Lagos, Nigeria. He has over 17years working experience, with proven expertise and delivery in IT, Real Estate, Healthcare, Energy/Power-related service sectors in Nigeria. As a trainer he has successfully delivered various instructor-led training programs physically and virtually to a wide audience (700+) – including fresh graduates to senior/C-level executives for over a decade. He holds several certifications and credentials in project management, energy management, quality management, HSE, IT/cloud solutions, consulting amongst others.

Course Overview

Course Objective

To strip away the intimidating jargon and give participants the practical confidence to transform raw numbers into actionable, everyday business decisions. By the end of this one-day workshop, attendees will not just look at spreadsheets—they will know how to make them tell a story.

Target Audience

Business professionals, managers, and team leads who work with data daily but lack formal analytical training and want to move past basic data entry.

Delivery Format

  • Format: Interactive, Instructor-Led (In-Person or Virtual)

  • Dynamic: 40% Conceptual Walkthroughs, 60% Hands-On Exercises & Breakout Labs

Course Agenda

 

1.Module 1: Changing Your Data Mindset:

  • The Core Concept: Moving from passive data collection to active problem-solving.

  • Key Framework: The 4-step analysis pipeline (Ask, Clean, Analyze, Share).

  • Interactive Lab: The Broken Dataset. Teams compete to spot the traps, errors, and missing pieces hidden inside a messy spreadsheet.

2.Module 2: Cleaning the Noise (Without the Headache):

  • The Core Concept: Bad data breeds bad decisions. Learn the fastest ways to filter out the noise.

  • Key Techniques: Slicing, sorting, removing duplicates, and isolating variables.

  • Interactive Lab: The Sandbox Clean-up. Participants use real-world operational data to rapidly clean and prep a chaotic dataset for analysis.

3.Module 3: Finding the Story in the Numbers:

  • The Core Concept: Translating rows and columns into trends, patterns, and outliers.

  • Key Techniques: Descriptive statistics simplified (Averages vs. Medians), and unlocking the power of grouping data.

  • Interactive Lab: Spot the Trend. A live diagnostic simulation where groups uncover a hidden operational bottleneck using basic analytical tools.

4.Module 4: Simple Visuals & Telling the Story:

  • The Core Concept: If you can’t explain your data simply, the analysis fails.

  • Key Techniques: Choosing the right chart type and avoiding “chart clutter.”

  • Interactive Lab: The 5-Minute Executive Pitch. Teams build one clear visual from their day’s work and deliver a rapid-fire strategic recommendation to the group.

5.Wrap-up & Action Plans:

  • The Core Concept: Bringing it back to the office.

  • Delivery: Q&A session, distribution of digital cheat-sheets, and setting an “Immediate Next Step” goal for Monday morning.

 

Key Takeaways for Participants

  • The “So What?” Filter: The ability to look at any report and immediately extract the operational impact.

  • Jargon Immunity: Total comfort navigating terms like variance, outliers, and data integrity without feeling overwhelmed.

  • Tool Agnostic Confidence: The foundational habits taught apply equally whether the team uses basic spreadsheets or advanced enterprise software.

Prerequisites: A laptop with standard spreadsheet software installed. No coding, programming, or advanced math background required.

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