Cadspro Training Centre
Programming · Vijayanagar

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
Book a free demoCall +91 97422 27444
# Data Science · Vijayanagar
Numbers in. Decisions out.
model accuracy
87.4%
+2.1 vs baseline
feature importance
training loss
At a glance

Course snapshot

A short read for the counsellor conversation. Specifics like fees and current batch dates change — call +91 97422 27444 for the latest.
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)
Curriculum

What you'll learn

A practical curriculum — every module ends with code in a notebook you keep on GitHub.
  • 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.

Career outcomes

The roles students step into.

  • 01
    Data analyst
    Python + pandas + SQL + a bit of viz is exactly the analyst job description. Pair this with Advanced Excel for the strongest analyst combo.
  • 02
    Junior data scientist
    Junior DS roles screen for: Python, pandas, scikit-learn, the metrics they evaluate models on. That's exactly what the capstone proves.
  • 03
    BI / reporting analyst
    Many companies hire 'reporting + light modelling' roles — your dashboard project shows you can do both.
  • 04
    ML internship → first role
    Bangalore data internships convert at a high rate when the candidate has a deployed model. The capstone is built specifically for this.
  • 05
    Adjacent roles in product / ops
    Product analyst, growth analyst and ops analyst all use the same toolkit. Data Science grads often find their first role in one of these.
Why Cadspro

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.

Visit the centre

In Vijayanagar — walk-in welcome.

Address
No 79, 1st Floor, 7th Main Road
Vijayanagar, Bengaluru 560040
Diagonal opposite NGT Nati Style Hotel
Get directionsCall +91 97422 27444
Hours
Mon – Sat · 9:00 AM – 8:00 PM
Walking distance
  • RPC Layout · 4 min
  • Hampi Nagar · 6 min
  • Attiguppe · 7 min
  • Vijayanagar Metro · 9 min
FAQ

Common questions.

  • 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.
More from Programming

Related programming courses.

Book a free Data Science demo class at Vijayanagar.

Sit through a pandas session, see the lab, talk to the faculty — then decide.

Book a free demo+91 97422 27444