Data & Analytics
From data to decisions. From learning to leadership.
The Data Science full stack course runs the complete workflow: collect, clean, explore, model, evaluate, communicate. It is deliberately broader than the Data Analyst track — you do not stop at the dashboard, you build the predictive model behind it.
Overview
The Data Science full stack course runs the complete workflow: collect, clean, explore, model, evaluate, communicate. It is deliberately broader than the Data Analyst track — you do not stop at the dashboard, you build the predictive model behind it.
You work in Python with Pandas, NumPy and Scikit-learn, handle statistics and hypothesis testing properly, build supervised and unsupervised models, evaluate them honestly, and present results through Power BI, Tableau and Jupyter notebooks.
Curriculum
The same structure on every Xypron course page, so you can compare tracks like for like. Each module ends in working code, not a quiz.
The unglamorous 60% of the job, taught first because it matters most.
Understanding a dataset before modelling it.
The mathematical basis for trusting a model's output.
Supervised and unsupervised modelling with Scikit-learn.
Communicating a model's finding to a decision maker.
Getting to the data in the first place.
Tools you'll master
Python 
Pandas 
NumPy 
Scikit-learn Matplotlib Seaborn SQL 
Jupyter Power BI Tableau Outcomes
The course does not end at the capstone. Placement support runs from your first mock interview until you have an offer — and it is support, not a guarantee.
Rebuilt around the projects you actually shipped here, targeted at the roles you are applying for.
Technical and HR rounds with written feedback after each one, repeated until the gaps close.
Your profile goes to our hiring partners with a note from the trainer who taught you.
We book the interviews and follow through until there is a decision either way.
Next step
Batch timings, the fee, whether your background fits, what the trainer's day job is — all fair questions. A counsellor will call you back within two business hours.
Basic mathematics. Programming experience is helpful but not required — Python is taught from the ground up.
The course runs for 4 months in classroom & online mode. Weekday, weekend and evening batches are scheduled continuously — call +91 73493 01293 for the next available start date.
Customer segmentation with clustering; Sales forecasting model with time-series features; Credit risk classification with model evaluation report — plus an end-to-end capstone project you deploy yourself and can walk an interviewer through line by line.
Yes. Sit a full session with the trainer who would actually teach your batch before you decide anything. Ask for one on WhatsApp or through the enquiry form on this page.
Enquiry
Choose WhatsApp or email below. We'll open it with your details already filled in for Data Science — you just hit send.
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Also in Data & Analytics
The Data Analyst full stack course covers the complete analysis workflow: collect, clean, explore, visualise, and then communicate the finding to someone who has to act on it. That last step is what most analyst candidates cannot do, and it is what gets you hired.
This track goes deep on the machine learning layer alone — algorithm by algorithm, with the mathematics explained and then implemented rather than imported and hoped for.
Deep Learning covers neural network architectures properly: what each layer does, why gradients vanish, how a convolution actually sees an image, and what a transformer attends to.
Next step
Sit a free demo class before you commit. Ask about batch timings, the trainer, and exactly what the placement support covers.
