Mr. Hafeez
BBA · MBA · PGDM · Live virtual or on-site

Business analytics, learned by doing.

Choose a no-code Excel and Power BI workshop, Python for business analytics, or an applied data science follow-on. BBA beginners can start with spreadsheet questions; experienced MBA and PGDM cohorts can progress to Python. Every path ends with a recommendation learners can explain.

3 hoursNo-code sample pilot
Up to 40Learners in the sample format
1 decisionExplained with data and assumptions
Choose a practical path

Four distinct analytics paths.

Choose one route according to the cohort’s starting skills and available hours. The three-hour plan below illustrates the no-code Excel and Power BI route only; Python, data science and deep learning each need a separate scope and schedule.

Excel & Power BI · no coding

For BBA beginners and management learners who want to turn a business question into a clean table, dashboard and recommendation without programming.

Output: simple dashboard and decision note.

Python for business analytics · coding

For learners ready to code: use Python and pandas to prepare data, calculate business measures, visualise comparisons and explain a result.

Output: reproducible notebook or script and a short business brief.

Applied data science with Python · follow-on

For cohorts with Python and basic statistics: define a question, compare a baseline with an introductory model, evaluate performance and explain limitations. This is a separate, longer path.

Output: model review with metrics, assumptions and next steps.

Deep learning for business decisions · advanced

For MBA/PGDM learners who already know Python and introductory ML: use a small TensorFlow/Keras example to examine a forecasting or classification problem, compare it with a simpler baseline, and discuss explainability, risk and operational fit. This is a distinct management workshop, not the BTech engineering syllabus.

Output: business-facing model evaluation and recommendation.

Learning outcomes

What learners practise.

The goal is a small but complete analysis, not a tour of software buttons.

Frame the question

Translate a management problem into measurable indicators and a decision to support.

Analyse in Excel

Organise data and compare orders, average order value, revenue and contribution after marketing spend.

Read a Power BI view

Choose useful visuals, interpret differences and identify what the dashboard does and does not show.

Recommend a next step

Present a concise conclusion with evidence, assumptions and limitations.

Sample three-hour no-code format · Excel and Power BI

From case to recommendation.

01

Frame the decision

Read the case, identify the business question and agree on the measures that matter.

25 min
02

Analyse with Excel

Clean and organise the dataset, calculate measures and compare channels.

50 min
03

Build a Power BI view

Select visuals, review trends and explain differences.

60 min
04

Present a recommendation

State the evidence, assumptions and one practical next action.

35 min
05

Break and transitions

Short break and tool setup.

10 min

This is a sample plan, not a confirmed booking or fixed syllabus. Duration, cohort size and examples are agreed with the institution.

Show the approach

A fictional case you can try.

The Business Case Lab asks learners to compare promotional channels, inspect contribution after marketing spend and defend a decision. It uses fictional data and illustrates the teaching approach; it is not a client result.

Learner output

A small comparison, a simple visual view and a short recommendation that states the trade-off and assumptions.

Delivery

What the cohort needs.

Live instruction

Live virtual workshops are available across time zones. On-site delivery, including international visits, depends on agreed travel and applicable permissions. Learners follow guided exercises and discuss their findings.

Lab setup

For the no-code route, learners need a laptop with Excel and, for the Power BI activity, Power BI Desktop. Python routes need a working Python environment and separate lab preparation. If the lab cannot support Power BI, we can use the Excel workbook and dashboard instead.

A practice file and follow-up questions can be included in the agreed scope. Additional batches, substantial customisation, travel and fees are set in the proposal.

Relevant delivery

Teaching experience behind the plan.

In 2026, I taught Excel and Power BI business analytics for Padmavathi University MBA learners through Dattha Institute. My broader dated training record includes Dr. D. Y. Patil B-School and Lexicon MILE. These are descriptions of engagements, not independently verified learner outcomes or endorsements.

View the Career Profile ↗

Discuss your cohort

Request a tailored workshop proposal.

Share whether this is BBA, MBA or PGDM, your preferred no-code or Python path, cohort size, dates, facilities and desired outcomes. I’ll reply with a suitable scope and fee. There is no commitment in sending an enquiry.

The form opens in Google Forms. A click on this button is not counted as a submitted enquiry.