Fireblaze Self-Paced Course
Excel for Data Analytics: From Messy Sheets to Dashboards
Excel remains one of the most common tools in reporting and analyst work. This course teaches it the way analysts actually use it: clean a messy export, join and summarise it with the right formulas, answer questions with PivotTables and Power Query, then present the result as an interactive dashboard. You finish with a certificate and a graded project you can walk through in an interview.
- 16 structured lessons, start any time
- 1 graded capstone project with written feedback
- Doubt-solving chat support for one month from first login, replies within 1 working day
- Hands-on with XLOOKUP, PivotTables, Power Query and dashboards
- Certificate of completion, and access for as long as the platform runs
Self-paced and fully online. No batch timings, no scheduled classes.
Data analytics using Microsoft Excel means using Excel to clean, combine, summarise and visualise data so that it answers a business question. This self-paced course teaches that workflow in 16 lessons: data cleaning, lookup and conditional-summary formulas, dynamic arrays, PivotTables, Power Query, charts and interactive dashboards, with an introduction to the Data Model. It is built for beginners and working professionals who want job-ready Excel analytics skills, and no programming is needed. The fee is ₹1,999 inclusive of 18% GST, and it includes one graded project, one month of doubt-solving chat support starting at first login, with replies within 1 working day, a certificate of completion, and access for as long as the platform runs.
What You Can Do Afterwards
Skills You Can Use in a Real Reporting Job
The lessons are ordered around the tasks analysts are given on day one, not around a tour of every Excel menu.
Clean a messy export
Fix text, dates, duplicates and blanks so the numbers can be trusted before anyone builds on them.
Answer questions with formulas
Look up, count, sum and filter with XLOOKUP, SUMIFS and dynamic arrays, and know which one fits.
Summarise in minutes
Turn thousands of rows into PivotTables and PivotCharts, then refresh them when the data changes.
Automate the repeat work
Use Power Query to import, reshape and merge files once, then refresh instead of redoing it every month.
Show the answer clearly
Pick the chart that fits the question and build a dashboard with slicers a manager can use without help.
Explain what you found
Write up the insight and the caveats, which is the part that separates an analyst from someone who knows formulas.
The Capstone
You Finish With a Dashboard You Built, Not Just Practice Files
Following along with a clean sample file is easy. The graded project is built on data that needs real cleaning first, because that is where most of the skill is.
Graded capstone project
Clean a raw dataset and deliver an interactive Excel dashboard with a written insight summary
You take a raw, imperfect business dataset and turn it into something a decision-maker can use. Then you explain what it says and where it could mislead.
What you build
- A cleaned dataset with the cleaning steps documented
- Lookup and conditional-summary formulas that tie the tables together
- PivotTables answering a set of business questions
- A Power Query flow that can be refreshed
- An interactive dashboard with charts and slicers
How it is graded
- Data quality: is the cleaning correct and documented
- Analysis: do the formulas and PivotTables answer the questions asked
- Communication: does the dashboard and written summary make the finding clear, with its limits stated
You receive written feedback on the submission. A tidy dashboard without an explanation is a poster, so the written summary counts as much as the workbook.
Curriculum
All 16 Lessons
Ordered the way an analysis actually runs: get the data usable, ask it questions, then present the answer.
Foundations
- Excel for analytics: workbooks, tables and data types
- Importing and cleaning messy data: text to columns, duplicates and Flash Fill
- Formulas that matter: cell references, IF, IFS, AND and OR
- Text, date and time functions for real-world data
Lookups and summaries
- XLOOKUP, INDEX and MATCH, and when VLOOKUP is still used
- SUMIFS, COUNTIFS and AVERAGEIFS for conditional summaries
- Dynamic arrays: FILTER, SORT and UNIQUE
- Data validation and conditional formatting
Analysis
- PivotTables and PivotCharts
- Power Query: import, transform, merge and append
- Descriptive statistics and distributions in Excel
- Trends, forecasting and what-if analysis with Goal Seek and scenarios
Presenting the result
- Choosing and building charts that communicate
- Building an interactive dashboard with slicers
- Introduction to the Data Model and Power Pivot
- Capstone workflow: from raw file to a presented insight
Honestly
Why Pay When Excel Tutorials Are Free?
A fair question, and worth answering directly rather than pretending free material does not exist.
| Free videos and blog posts | This course | |
|---|---|---|
| Coverage | Strong on single functions and tricks | One ordered path from raw data to dashboard |
| Real-world messiness | Mostly clean sample files | Cleaning is a lesson and part of the project |
| Modern Excel | Often stuck on VLOOKUP-era methods | XLOOKUP, dynamic arrays and Power Query |
| Your own work reviewed | No | Graded project with written feedback |
| When you get stuck | Comments section, maybe | Doubt chat for a month, answered in 1 working day |
| Proof you did it | Nothing verifiable | Graded project plus a certificate |
If you are disciplined, you can learn every function here for free. What free material rarely gives you is a person looking at your finished workbook and telling you where the analysis is wrong or unclear. That is what you are paying for.
Fit
Who This Is For
A good fit if you
- Are a student, graduate or job seeker who wants Excel skills employers ask for
- Work with spreadsheets already and want to move from entering data to analysing it
- Are in operations, finance, sales, HR or marketing and report on numbers regularly
- Want a structured path into data analytics before moving on to SQL, Power BI or Python
Not the right starting point if you
- Want to learn Python or SQL first, where the Python course below is the better start
- Need advanced VBA or macro programming, which is not the focus here
- Are looking for statistics theory or machine learning
- Want live scheduled classes with an instructor, which our career programs provide instead
You do not need any programming knowledge. Microsoft 365 or Excel 2021 or later is recommended, because XLOOKUP and the dynamic array functions are not available in older versions. Power Query is available in Excel 2016 and later.
Where Next
After Excel, Where Does This Lead?
Excel is the entry point to analytics. These are the usual next steps.
Enrol
One Price, Everything Included
No subscription, no upsell at checkout, and no separate charge for the project review or the support window. The number below is the number you pay.
Payment is processed securely through Razorpay. You get access immediately after payment, and you can start the first lesson the same day.
Course Fee
₹1,999
Inclusive of 18% GST. No hidden charges.
- All 16 lessons, self-paced
- Graded capstone project with written feedback
- Doubt-solving chat support for one month from first login, replies within 1 working day
- Certificate of completion
- Access for as long as the platform runs
- Needs only Microsoft Excel (Microsoft 365 or Excel 2021 or later recommended)
Questions first? Ask on WhatsApp
FAQ
Frequently Asked Questions
What is data analytics using Excel?
It is the practice of using Microsoft Excel to clean, combine, summarise and visualise data so it answers a business question. In practice that means data cleaning, lookup and conditional-summary formulas, PivotTables, Power Query and dashboards, which are the exact skills this course teaches.
Is Excel enough to become a data analyst?
Excel is a strong starting point and is still expected in many analyst, MIS and reporting roles, but most analyst jobs also expect SQL and a BI tool such as Power BI, and sometimes Python. This course gives you the Excel foundation and points to the next steps. It does not promise a job.
How much does the course cost?
Rs 1,999, inclusive of 18% GST. That covers all lessons, the graded capstone project with written feedback, and doubt-solving chat support for one month. There is no subscription and nothing additional is charged at checkout.
Do I need prior Excel experience?
No. The course starts from workbooks, tables and data types. If you already use Excel daily, you will move quickly through the early lessons and spend your time on lookups, Power Query and dashboards.
Which version of Excel do I need?
Microsoft 365 or Excel 2021 or later is recommended, because XLOOKUP and dynamic array functions such as FILTER, SORT and UNIQUE are not available in older versions. Power Query is available in Excel 2016 and later. Check the lesson list against the version you own before buying, and message us on WhatsApp if unsure.
Does the course cover Power Query and PivotTables?
Yes. PivotTables and PivotCharts have their own lesson, and Power Query has a full lesson on importing, transforming, merging and appending data. Both are used in the graded project.
Does it cover VBA or macros?
No. The focus is analysis, summarising and presenting data with formulas, PivotTables and Power Query. VBA is a different skill and is not part of this course.
Is this course live or self-paced?
Fully self-paced and online. There are no batch timings and no scheduled classes. You start whenever you buy and move at your own speed. If you want live instructor-led teaching, our career programs are the better option.
What is the graded project?
You take a raw business dataset, clean it, analyse it with formulas, PivotTables and Power Query, and deliver an interactive dashboard with a short written summary of the insight and its limits. You receive written feedback.
How does the doubt support work?
You get access to a doubt-solving chat window for one month, counted from your first login rather than from the date of purchase, so buying early and starting later costs you nothing. Questions are answered within 1 working day. It is intended for course and project questions.
Should I learn Excel, SQL, Power BI or Python first?
If you are new to data, start with Excel because it is the fastest way to understand tables, formulas and summaries. SQL and Power BI are natural next steps for analyst roles, and Python suits you when the data is too large or too repetitive for a spreadsheet.
Who is this course not suitable for?
People who want advanced VBA, people looking for statistics theory or machine learning, and people who want live scheduled classes. It is also not the right starting point if you specifically want to learn Python or SQL first.
How do I pay, and when do I get access?
Payment is processed securely through Razorpay. Access is granted immediately after successful payment, so you can begin the first lesson the same day.
Do I get a certificate?
Yes. You receive a certificate of completion from Fireblaze AI School once you finish the course and submit the graded capstone project. The project is the part worth showing in an interview, but the certificate is included.
How long do I have access to the course?
There is no expiry date. You keep access for as long as we run the learning platform, so you can revisit lessons later when a similar task shows up at work. There is no subscription and no renewal.
Who runs this course?
Fireblaze AI School, an AI education institute in Nagpur founded on 31 October 2017 that has trained more than 20,000 learners. The self-paced courses are the online, India-wide arm of the same teaching approach used in our career programs.
Can I ask questions before buying?
Yes. Message us on WhatsApp using the link on this page and we will answer questions about prerequisites, the project or the support window before you enrol.