Data Science course in Vijayanagar — Python, pandas, ML & viz.
Cadspro's Data Science track at Vijayanagar walks you from pd.read_csv to a deployed scikit-learn model with a clean dashboard. Project-led, small batches, on real DELL workstations — the foundations Bangalore data teams hire on.
- Python + pandas + ML
- scikit-learn project
- Deployed dashboard
- Vijayanagar centre
Course snapshot
- Duration
- Confirmed at enrolment · weekday & weekend batches
- Mode
- Classroom — your notebooks on our hardware
- Tools
- Python · Jupyter · pandas · numpy · scikit-learn · matplotlib · seaborn · Streamlit
- Output
- GitHub repo with cleaned dataset, trained model and a deployed Streamlit dashboard
- Placement
- Resume reviews · mock interviews · referrals (analyst / junior DS)
- Certificate
- Cadspro completion (ISO Certified institute)
What you'll learn
- 01
Python for data
A focused Python refresh aimed at data work — slicing, comprehensions, file IO, virtual environments, Jupyter and VS Code. Enough Python to get out of pandas' way.
- 02
numpy & vectorised thinking
Arrays, broadcasting, vectorised operations and why a for-loop on a million rows is the wrong answer. The mental shift every data person makes.
- 03
pandas — the daily tool
DataFrames, indexing, joins, group-bys, time series, missing data and clean reshaping. Pandas is the language data teams actually speak.
- 04
EDA & data cleaning
Reading messy real-world CSVs, profiling, fixing types, handling outliers and writing reusable cleaning steps. The unglamorous 60% of every real project.
- 05
Visualisation
matplotlib basics, seaborn for statistical plots and the principles of a chart that actually communicates. When to use what, and why most dashboards are bad.
- 06
ML basics — scikit-learn
Train/test split, regression and classification, decision trees, random forests, evaluation metrics (accuracy, precision/recall, ROC) and cross-validation. Real models, real metrics.
- 07
Feature engineering & pipelines
Encoding, scaling, train-time leakage, scikit-learn pipelines and a working understanding of why your model is overfitting.
- 08
Simple deployment with Streamlit
Wrap your model in a Streamlit app with inputs and a chart, deploy it on the free tier. The 'I built and shipped a model' line on your resume.
- 09
Capstone + interview prep
Pick a real dataset (e.g. Bangalore housing, retail churn), do EDA → model → deploy. Plus interview prep — top data interview questions, SQL fundamentals, mock rounds.
The roles students step into.
- 01Data analystPython + pandas + SQL + a bit of viz is exactly the analyst job description. Pair this with Advanced Excel for the strongest analyst combo.
- 02Junior data scientistJunior DS roles screen for: Python, pandas, scikit-learn, the metrics they evaluate models on. That's exactly what the capstone proves.
- 03BI / reporting analystMany companies hire 'reporting + light modelling' roles — your dashboard project shows you can do both.
- 04ML internship → first roleBangalore data internships convert at a high rate when the candidate has a deployed model. The capstone is built specifically for this.
- 05Adjacent roles in product / opsProduct analyst, growth analyst and ops analyst all use the same toolkit. Data Science grads often find their first role in one of these.
Vijayanagar's training-school advantage.
- 01
Project, not just lectures
Every grad walks out with a deployed model and a public dashboard. That link is what changes interview outcomes — not certificate names.
- 02
Honest scope
We don't pretend a few weeks makes you an ML researcher. The track gets you to the analyst / junior-DS rung — which is where Bangalore is hiring.
- 03
Faculty across the desk
When your model is overfitting or your pandas join is duplicating rows, the faculty walks you through it. Small batches, real time per student.
- 04
Pairs with Python or Full Stack
If you came in via the Python course, the counsellor only charges and schedules the new modules — no duplicate content. Same with Full Stack to Streamlit.
Talk to a counsellor today.
- 1 · Callback the same working day. A counsellor — not a call centre — rings the number you give us.
- 2 · Free demo class. Sit in on a live session at the Vijayanagar lab and meet the trainer before you decide.
- 3 · Fees and batch confirmed in writing. Fees depend on the track and batch you pick, so we quote them on the call rather than publishing a number that doesn't match your course.
Vijayanagar, Bengaluru 560040
Diagonal opposite NGT Nati Style Hotel
In Vijayanagar — walk-in welcome.
Vijayanagar, Bengaluru 560040
Diagonal opposite NGT Nati Style Hotel
- RPC Layout · 4 min
- Rajajinagar · 5 min
- Hampi Nagar · 6 min
- Attiguppe · 7 min
- Vijayanagar Metro · 9 min
Common questions.
I'm a beginner — is this too advanced?
The first three modules are a Python + numpy + pandas foundation, so beginners are explicitly accommodated. If you've already done our Python course, you can fast-forward.Will I really build something I can put on a resume?
Yes. The capstone is a deployed Streamlit app backed by a scikit-learn model on a real dataset, with a clean GitHub README. That link is the proof point.Do you teach deep learning / TensorFlow / PyTorch?
The track focuses on the analyst / junior-DS toolkit — pandas, scikit-learn, viz. Deep learning is an honest next step we'll point you at; we don't pretend to make you an ML engineer in this track.How much SQL is included?
SQL fundamentals are part of interview prep — joins, filters, aggregates and window-function basics. Enough to clear analyst SQL rounds; deeper SQL is its own learning path.Data science jobs feel scarce in Bangalore — is this worth it?
Pure 'data scientist' roles are competitive, but analyst, BI, reporting and product-analyst roles are abundant and use the same toolkit. We position grads honestly toward those rungs.Can I do this alongside college / a job?
Yes — weekend and evening batches are designed for that. Many of our cohorts are working professionals upskilling.Do you help with placement?
Resume reviews, mock interviews and referrals. Outcomes depend on cohort and effort. Talk to the counsellor at +91 97422 27444 for current placement specifics.Is there a data science near me in Bangalore?
Classes run at Cadspro Training Centre, No 79, 1st Floor, 7th Main Road, Vijayanagar, Bengaluru 560040 — Diagonal opposite NGT Nati Style Hotel. That is roughly 4 minutes from RPC Layout, 5 from Rajajinagar, 6 from Hampi Nagar, 7 from Attiguppe and a 9-minute walk from Vijayanagar Metro, so most students come from the west-Bengaluru belt. Walk in Mon – Sat · 9:00 AM – 8:00 PM, or call +91 97422 27444 first if you want a demo class arranged.What are the fees for this course?
Fees depend on the batch you join and on whether you combine this with a second track, so a counsellor quotes the exact figure on the callback rather than us publishing one number that fits nobody. Send the enquiry form on this page or call +91 97422 27444 — you get the fee, the current batch timings and a free demo slot the same working day, with no obligation to enrol.When do batches start, and are there weekend timings?
New batches open through the month rather than on a fixed intake date, and every track runs weekday, weekday-evening and weekend slots — Saturday and Sunday mornings are the most popular with working students. The counsellor confirms which slots currently have seats when they call back.
Related programming courses.
Students often combine tracks.
Book a free Data Science demo class at Vijayanagar.
Sit through a pandas session, see the lab, talk to the faculty — then decide.