Data Analytics with Excel Training for Beginners

Target Audience

Beginners with no prior data analytics experience
Students exploring data and business analytics careers
Job seekers building Excel-based analytics skills
Business users working with reports and spreadsheets
Professionals transitioning to data-driven roles
Sales, operations, and finance staff using Excel daily
Administrative and MIS professionals handling data reports
Learners planning to move to Power BI or Tableau

Highlights

Learn data analytics fundamentals using Microsoft Excel
Clean and prepare data using real-world techniques
Analyze data with formulas, functions, and PivotTables
Apply sorting, filtering, and conditional formatting
Create charts, visualizations, and basic dashboards
Perform descriptive and trend analysis
Practice what-if analysis and scenario modeling
Build a strong foundation for Business Intelligence tools

Overview

Data Analytics with Excel Training for Beginners is a foundational course designed to introduce learners to the core concepts of data analytics using Microsoft Excel. The course focuses on helping learners understand how data is collected, cleaned, analyzed, and presented to support better business decision-making.

Learners begin by exploring the fundamentals of data analytics and gaining familiarity with the Excel interface and essential spreadsheet operations. The course then covers data management techniques such as importing data, cleaning datasets, handling missing values, and working with text functions to prepare data for analysis.

As the training progresses, learners work with Excel’s powerful analysis tools including formulas, functions, sorting, filtering, and PivotTables to summarize and analyze data effectively. The course also introduces data visualization concepts, guiding learners through the creation of charts, graphs, and basic dashboards that communicate insights clearly.

By the end of the course, learners will have practical, hands-on experience using Excel to analyze real-world datasets, making this an ideal starting point for careers in data analytics, business intelligence, and reporting roles, as well as a strong foundation for advanced BI tools such as Power BI and Tableau.

Prerequisites

To successfully complete Data Analytics with Excel Training for Beginners, learners should have:

Basic computer literacy and familiarity with using a PC or laptop
Comfort working with files and folders
Willingness to learn Microsoft Excel from the basics
No prior experience in data analytics or Excel is required

Outcomes

By the end of this course, you will be able to:

Understand the fundamentals of data analytics and its role in business decision-making
Navigate the Microsoft Excel interface confidently for analytics tasks
Import data from multiple sources and manage datasets effectively in Excel
Clean and prepare data by handling missing values, duplicates, and text inconsistencies
Use essential and advanced Excel formulas and functions for data analysis
Analyze data using sorting, filtering, and PivotTables
Perform basic descriptive statistics and trend analysis
Create meaningful charts and visualizations to communicate insights
Build basic dashboards using Excel charts and PivotTables
Apply what-if analysis, scenario analysis, and Goal Seek for decision support
Interpret data patterns and trends to support business reporting and analysis
Build a strong foundation for advancing to Power BI, Tableau, or other BI tools

Job Roles

This course prepares learners for entry-level and business-focused roles that work with data analysis, reporting, and decision support using Excel. After completing the training, learners will be better prepared for positions such as:

Data Analyst
Business Analyst
Reporting Analyst
Operations Analyst
Sales or Marketing Analyst
MIS Executive / Reporting Executive
Data Coordinator
Business Intelligence Analyst
Office Analyst / Administrative Analyst

Curriculum

Module 1: Introduction to Data Analytics

Definition of data analytics
Importance of data analytics in business
Excel as a data analytics tool
Overview of the Excel interface

Module 2: Excel Essentials

Understanding workbooks and worksheets
Data entry techniques
Formatting cells and data
Essential formulas and functions (SUM, AVERAGE, COUNT, MAX, MIN)

Module 3: Data Management

Importing data from various sources
Data cleaning techniques
Removing duplicates
Handling missing values
Working with text functions

Module 4: Data Analysis Tools in Excel

Sorting and filtering data
Using conditional formatting
Introduction to PivotTables
Creating and customizing PivotTables
Analyzing data using PivotTables

Module 5: Advanced Formulas and Functions

Lookup functions (VLOOKUP, LOOKUP)
IF statements and nested formulas
Date and time functions
Logical functions

Module 6: Data Visualization

Creating charts and graphs
Bar charts, line charts, and pie charts
Using sparklines
Advanced charting techniques
Dashboard creation basics

Module 7: Data Analysis Techniques

Descriptive statistics
Measures of central tendency and spread
Trend analysis
Scenario analysis and What-If analysis

$699

Instructor-Led: Online/In-Class
32 Hours
Beginners Level
Hands-on training
Job-Oriented

Enroll Now

Demand for This Course

As organizations increasingly rely on data to drive decisions, there is a growing demand for professionals who can analyze, interpret, and present data effectively. Microsoft Excel remains one of the most widely used tools for data analysis across industries, making Excel analytics skills highly valuable for both entry-level and business-focused roles.

Companies in sectors such as finance, healthcare, retail, marketing, operations, and administration use Excel daily for reporting, data analysis, forecasting, and performance tracking. Even as advanced BI tools grow in popularity, Excel continues to be the foundation for data analysis, data preparation, and business reporting in many organizations.

This course directly addresses the growing need for:

Professionals seeking foundational data analytics skills
Business users who work with data, reports, and spreadsheets
Job seekers preparing for entry-level data and analyst roles
Organizations looking to build data literacy across teams
Professionals transitioning to data-driven decision-making roles
Learners preparing for advanced BI and analytics tools

By developing strong Excel-based analytics skills, learners gain practical, in-demand capabilities that support career growth in business analytics, reporting, operations, and data analysis roles. This course provides a critical entry point into the data analytics ecosystem and prepares learners for more advanced tools such as Power BI, Tableau, and enterprise analytics platforms.

Frequently Asked Questions (FAQs)

This course is ideal for beginners, students, job seekers, and business professionals who want to learn data analytics using Microsoft Excel with no prior analytics experience.

This is a Beginner-level course. No prior Excel or data analytics background is required.

The course duration is 32 hours, which includes 16 hours of live, instructor-led training and assignments/practice.

No. The course starts with Excel basics and gradually builds toward data analysis, PivotTables, and visualization.

You will learn how to clean, manage, analyze, and visualize data using Excel, including formulas, PivotTables, charts, basic dashboards, and what-if analysis.

Yes. The course includes hands-on exercises, practice datasets, and real-world examples to reinforce learning.

You will need Microsoft Excel (desktop version recommended). No additional tools are required.

Yes. Learners who successfully complete the course will receive a Certificate of Completion from Ohio Computer Academy (OCA).

Yes. This course is delivered in an Instructor-Led Live Online format and is also available as Instructor-Led In-Class training.

Yes. Group training (5 participants) is available at a fixed per-person rate. Individual (1-on-1) and corporate training options are available with customized pricing.

This course prepares learners for entry-level roles such as Data Analyst (Junior), Business Analyst (Junior), Reporting Analyst, Operations Analyst, and Excel-focused analyst roles.

You can register through the Ohio Computer Academy website or contact our team using the Contact Us or Get Quote options on the course page.

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Course Category

Target Audience

Highlights

Overview

Prerequisites

Outcomes

Job Roles

Curriculum

Demand for This Course

Frequently Asked Questions (FAQs)

Tableau for Beginners: Hands-On Dashboard Training

Tableau for Data Consumers: Interpreting Dashboards Effectively

Alteryx & Tableau Training for Data Preparation & Visualization

Advanced Tableau Training: Calculations, LODs, and Dashboards

Tableau Certification Training: Prep for Desktop Specialist and Certified Associate

Power BI for Beginners: Dashboard and Data Modeling Training

Power BI Advanced Training: DAX, Data Modeling, and Enterprise Dashboards

Cognos Analytics Training: Dashboards, Reporting, and Data Modeling

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Courses

Courses