Kelvin The Analyst

Kelvin The Analyst Data Analyst || SAP Support Consultant || Workplace Productivity || Proverbs 22:29

04/06/2026

Many Excel users work with Excel every day, yet they are not fully familiar with navigating the Excel interface and utilizing its powerful built-in tools.

In this video, you'll get a quick guide on how to navigate Excel efficiently, understand key features, and use the software more professionally to improve your productivity and data management skills.

Whether you're a beginner or an experienced user, this tutorial will help you work smarter and get more value from Microsoft Excel.

Excel shortcut for your work efficiency 📌
06/02/2026

Excel shortcut for your work efficiency 📌

Data can be classified into two main categories: Categorical and Numerical.Each category has subtypes, and understanding...
05/02/2026

Data can be classified into two main categories: Categorical and Numerical.

Each category has subtypes, and understanding these distinctions is critical for choosing the right statistical methods and visualizations.

Type of Data Analysis
04/02/2026

Type of Data Analysis

Day 7: Descriptive Statistics: A Beginner-Friendly Guide: Measures of Central TendencyDescriptive statistics is the foun...
15/10/2025

Day 7: Descriptive Statistics: A Beginner-Friendly Guide: Measures of Central Tendency

Descriptive statistics is the foundation of understanding data. It helps us summarize and describe the main features of a dataset in a way that's easy to interpret.

Measures of Central Tendency- These measures tell us where the "center" or "typical value" of the data lies. They are essential because they give us a single number that represents the entire dataset. Think of them as a way to summarize the data without looking at every single number.

Day 6: Descriptive Statistics: A Beginner-Friendly GuideDescriptive statistics is the foundation of understanding data. ...
14/10/2025

Day 6: Descriptive Statistics: A Beginner-Friendly Guide

Descriptive statistics is the foundation of understanding data. It helps us summarize and describe the main features of a dataset in a way that's easy to interpret.

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