Data Analysis With Excel
Darshan Chauhan
M.Tech Computer Science
Master Excel Data Analysis to Make Confident, Data-Driven Decisions
Many professionals work with data every day but struggle to turn spreadsheets into clear, useful insights. This course provides practical, step-by-step training in Excel data analysis, helping learners organise information, identify patterns, create meaningful reports, and communicate findings with confidence.
Learners will develop the skills to clean and prepare data, use formulas and functions, create PivotTables and charts, apply conditional formatting, and build effective dashboards. They will also learn how to analyse real-world datasets and present results in a way that supports better business and operational decisions.
Whether you are a student, administrator, business professional, analyst, or someone looking to improve your employability, this course will help you move beyond basic spreadsheets and use Excel as a powerful data-analysis tool. By the end of the course, you will be able to work more efficiently, reduce manual errors, and transform raw data into clear, actionable insights.
What you’ll learn
Students will learn to analyse, visualise and interpret data using Excel, transforming raw information into accurate insights and confident,
Import, clean and format datasets using tables, sorting, filtering and data validation.
Apply formulas and functions such as SUM, AVERAGE, COUNTIF, SUMIF and IF to calculate meaningful results.
Interpret the results to identify trends, compare performance and support evidence-based decisions.
Apply functions including SUM, AVERAGE, COUNTIF, SUMIF and IF.
Use relative, absolute and mixed cell references accurately.
Build clear calculation models that reduce manual errors.
Use XLOOKUP, VLOOKUP, INDEX and MATCH to retrieve related data.
Use IFERROR to manage missing or invalid results.
Create dropdown lists with data validation to improve consistency.
Select appropriate chart types for comparisons, trends and proportions.
Format charts with effective titles, labels, legends and axes.
Use conditional formatting and sparklines to make patterns visible.
Create PivotTables from well-structured Excel tables.
Group, filter and sort data to answer business questions.
Use slicers, PivotCharts and calculated fields for interactive analysis.
Combine formulas, PivotTables, charts and conditional formatting.
Present findings clearly for a non-technical audience.
Make practical recommendations based on evidence from the data.
Learn directly from Darshan
Darshan Chauhan
Having 15 Years of Experience in Education Sector working with Amazon also.
Who this course is for
Beginners and career changers
Individuals with limited or basic Excel experience who want to develop practical data-analysis skills .
Business and administrative professionals
Employees who regularly use spreadsheets to manage records, budgets, sales info or performance .
Students and apprentices
Learners studying IT, business, digital support or related subjects .
What's included
Live sessions
Learn directly from Darshan Chauhan in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Introduction to Excel for data analysis
Week 2
Structuring and cleaning data
Schedule
Live sessions
4-6 hrs / week
Projects
1-3 hrs / week
Async content
1 hr / week
Frequently asked questions
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