This 2-hour training course by Simon Sez IT introduces beginners to data analysis using Microsoft Excel. It is designed for learners who want to understand how to work with data efficiently, clean datasets, and apply essential Excel functions for analysis.

The course starts with the basics of navigating Excel and understanding different data types. Learners are guided through how to view, enter, and organize data properly inside spreadsheets. This foundation is important for building accurate and well-structured datasets for analysis.

A major part of the training focuses on Excel formulas and functions. The course explains how formulas work, how to reference data correctly, and how to apply commonly used functions for data processing. These skills are essential for performing calculations and extracting meaningful insights from raw data.

The course also covers data cleaning and data quality, teaching how to identify errors, remove duplicates, and improve dataset accuracy. Learners also explore importing external data into Excel and preparing it for analysis.

Practical exercises are included throughout the training to reinforce learning and help users apply what they have learned in real scenarios.

By the end of the course, learners will have a strong understanding of Excel-based data analysis, including data preparation, cleaning, and basic analytical techniques needed for entry-level data work.