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.
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.
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.
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.
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.
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.
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.
The goal is a small but complete analysis, not a tour of software buttons.
Translate a management problem into measurable indicators and a decision to support.
Organise data and compare orders, average order value, revenue and contribution after marketing spend.
Choose useful visuals, interpret differences and identify what the dashboard does and does not show.
Present a concise conclusion with evidence, assumptions and limitations.
Read the case, identify the business question and agree on the measures that matter.
Clean and organise the dataset, calculate measures and compare channels.
Select visuals, review trends and explain differences.
State the evidence, assumptions and one practical next action.
Short break and tool setup.
This is a sample plan, not a confirmed booking or fixed syllabus. Duration, cohort size and examples are agreed with the institution.
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.
A small comparison, a simple visual view and a short recommendation that states the trade-off and assumptions.
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.
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.
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.
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.
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