Data Analytics with Excel

Data Analytics with Excel is designed to help you master practical Excel skills. Learn to clean, analyze, and visualize data using formulas, PivotTables, charts, and dashboards to turn raw data into actionable business insights.

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Mode of Training

In-Class (Onsite, Instructor-Led) or Online – Virtual (Live, Instructor-Led)

Certification

Earn a Certificate of Completion that validates your expertise and showcases your data analytics skills to employers

Duration

32 hours (16 hours of Instructor-led training plus 16 hours of student practice)

This course is ideal for:

Business professionals looking to make data-driven decisions using Excel
Students and recent graduates seeking to strengthen analytical skills
Managers and team lead who need to analyze and present business data
Professionals in finance, marketing, operations, or HR working with large datasets
Anyone interested in building a strong foundation in data analytics with Excel

Highlights

Upgrade your career with top notch training

Learn essential and advanced Excel functions for data analysis.
Gain hands-on experience with PivotTables, charts, and dashboards.
Master data cleaning and management techniques.
Apply descriptive statistics and what-if analysis for decision-making.
Build practical skills to turn raw data into actionable insights.

Outcomes

By the end of this course, participants will be equipped with: 

Develop a solid understanding of Excel’s interface and essential functionalities, allowing them to navigate the software confidently and effectively.
Learn techniques for organizing and managing data within Excel, including data entry, formatting, and using tables to structure data for analysis.
Gain hands-on experience with Excel’s advanced analytical tools, such as PivotTables and PivotCharts to manipulate and summarize data for deeper insights.
Master key Excel formulas and functions, including lookup functions (VLOOKUP, LOOKUP), logical functions (IF, AND, OR), statistical functions, and date/time functions for effective data analysis.
Develop the ability to create meaningful visual representations of data using charts, graphs, and conditional formatting, enhancing the capacity to communicate insights clearly.
Learn methods for data cleaning and preparation, including techniques for removing duplicates, identifying outliers, and using text-to-columns, ensuring that data is accurate and ready for analysis.
Acquire skills to design interactive dashboards that summarize key metrics and KPIs, facilitating dynamic reporting and data visualization.

Course Content

The Data Analytics with Excel course is designed for individuals looking to harness the power of Excel as a tool for data analysis and decision-making. As one of the most widely used spreadsheet applications in the business world, Excel provides a robust platform for organizing, analyzing, and visualizing data, making it essential for anyone involved in data-driven roles.

This comprehensive training program covers everything from the basics of Excel to advanced data analysis techniques. By the end of the course, students will not only achieve proficiency in Excel but also develop the analytical mindset necessary to approach data challenges with confidence. Whether you're a beginner aiming to start a career in data analytics or a professional seeking to enhance your skills, this course will provide you with the expertise needed to excel in today’s data-driven environment. Join us on this journey to mastering data analytics with Excel!

Master the Essentials of Excel, including its interface, features, and essential functionalities, allowing for confident navigation and usage of the application.

Learn techniques for effectively organizing and managing data, including data entry, formatting, and structuring datasets to prepare for analysis.

Gain hands-on experience using advanced Excel tools like PivotTables and PivotCharts to summarize, analyze, and visualize complex data sets.

Develop proficiency in applying key Excel formulas and functions, including lookup functions, conditional statements (IF, AND), and statistical functions to perform data analysis.

Understand how to create visually appealing and informative data visualizations using various chart types, conditional formatting, and dashboards to enhance data presentation.

Basic computer skills. Candidate should know how to navigate and manage files on windows operating system.

This training will equip you for the following job roles and career paths: 

Data Analyst

Business Intelligence Analyst

Financial Analyst

Reporting Analyst

Excel Developer

Module 1: Introduction to Data Analytics

Definition of Data Analytics

Importance of Data Analytics in Business

Overview of Excel as a Data Analytics Tool

Introduction to Excel Interface

Module 2: Excel Essentials

Understanding Workbook and Worksheet

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 (CSV, Web, etc.)

Data Cleaning Techniques

Removing Duplicates

Handling Missing Values

Text Functions (TRIM, LEFT, RIGHT, MID)

Module 4: Data Analysis Tools in Excel

Sorting and Filtering Data

Using Conditional Formatting

Introduction to PivotTables

Creating and Customizing PivotTables

Analyzing Data with PivotTables

Module 5: Advanced Formulas and Functions

Lookup Functions (VLOOKUP, LOOKUP)

IF Statements and Nested Formulas

Date and Time Functions

Logical Functions (AND, OR, NOT)

Module 6: Data Visualization

Creating Charts and Graphs

Bar Charts, Line Charts, Pie Charts, etc.

Using Sparklines

Advanced Charting Techniques

Dashboard Creation Basics

Module 7: Data Analysis Techniques

Introduction to Descriptive Statistics

Mean, Median, Mode, Standard Deviation

Trend Analysis

Scenario Analysis and What-If Analysis

Data Tables, Goal Seek

Demand for Data Analytics with Excel

The demand for the Data Analytics with Excel training is robust and expected to grow as organizations increasingly rely on data analysis for strategic decision-making. Participants in this course will acquire essential skills that enhance their employability and prepare them for impactful roles in data analytics and business intelligence. Investing in this training is a valuable step for individuals looking to advance their careers in today’s data-driven job market.

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FAQs

1. Who should take this course?

Anyone looking to learn data analytics with Excel to apply in real-world business scenarios. It is ideal for anyone working with data—whether in finance, marketing, operations, HR, or management—who seeks to make informed, data-driven decisions and present insights effectively.

2. What will I learn in this data analytics course?

You’ll learn how to analyze data using Microsoft Excel, including working with different data sources, using filters, sorting, totals, pivot tables, and formulas.

3. What is the duration of the “Data Analytics with Excel” course?

The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led training and 16 hours of student practice. ?

4. Do I need prior experience with Excel to enroll in this course?

No, prior experience with Excel is not required. This course is designed for beginners, making it accessible to anyone interested in learning data analytics. What will I learn in this course?

5. What prerequisites should I have for this course?

Candidate should know how to navigate and manage files on windows operating system. 

6. Will I receive a certification upon completion of the course?

Yes, participants will receive a certificate of completion.

7. What tools and resources will be used during the training? ?

The primary focus will be on Microsoft Excel, with supplementary resources such as instructional materials, video tutorials, and case studies provided.

8. Can I take this course online?

Yes, the course is offered in both online and in-class formats. If you prefer to take it online, you can do so.
Participants will have access to instructor support throughout the course, along with resources to facilitate learning, including assignments, and exercises.

9. What kind of support will I receive during the course?

Participants will have access to instructor support throughout the course, along with resources to facilitate learning, including assignments, and exercises.

10. How do I register for the course?

To enroll in this course, please email us at enroll@ohiocomputeracademy.com.

11. Are there group discounts available?

Yes, discounts may be available for group registrations. Please contact us at enroll@ohiocomputeracademy.com for more details on group pricing options.

12. What career opportunities will this training prepare me for?

By the end of this course, participants will master Excel skills for data-driven decisions, enhancing career growth. They will be equipped for various roles including Data Analyst, Business Intelligence Developer, and Reporting Specialist, enhancing their career prospects in data analytics and business intelligence.