Course Data Entry & Records Management

Categories: course

About Course

This course is designed to equip entry- to mid-level professionals with the practical skills needed to succeed as data entry clerks in modern office environments. It covers the core principles of accurate data input, digital filing, and effective records management using widely-used tools like Excel, Google Sheets, and document databases.

Whether you’re new to the workforce or looking to strengthen your administrative skills, this course provides hands-on training to improve typing speed, attention to detail, and your ability to organize and manage information with confidence and professionalism.

By the end of the course, learners will be ready to handle clerical tasks in data-driven roles across industries like finance, telecom, health, education, and customer service.

Show More

What Will You Learn?

  • By the end of this course, you will be able to:
  • Understand the key responsibilities of a data entry and records management clerk.
  • Identify different types of data (text, numeric, date, etc.) and how to handle them.
  • Use Excel and Google Sheets to input, organize, and summarize data.
  • Apply basic functions and formulas like SUM, IF, and AVERAGE.
  • Clean, stage, and prepare data for reporting or sharing.
  • Use pivot tables, filters, and conditional formatting to simplify large datasets.
  • Explore free online tools that improve productivity and data handling.
  • Follow best practices for data security, privacy, and file sharing.

Course Content

Introduction

  • Tutorial Guide
  • Tutorial Quiz

🟦 Topic 1: Introduction to Data Entry & Records Management
Focus: Core definitions, workplace relevance, data types, and ethics

🟩 Topic 2: Tools of the Trade – Excel and Google Sheets Basics
Focus: Software orientation, core functions, and understanding spreadsheets

🟨 Topic 3: Working with Tables, Equations & Data Staging
Focus: Creating tables, writing equations, and preparing data for processing

🟧 Topic 4: Summarizing, Organizing & Free Tools for Data Work
Focus: Data review, summaries, cleaning tips, and free web tools

🏁Conclusion