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 90 Hours Duration

Data Science with Python & R

A dual-language path through the modern data science stack — statistics, SQL, machine learning and natural language processing in both Python and R, capped with a real-world capstone project.

Course highlights

90-Hour Program

The most in-depth VS Courses track, spanning statistics through to machine learning in Python and R.

Real Datasets

Every module is taught against real, messy datasets — not toy examples.

Capstone Certificate

Graduate with a completed, presentable end-to-end data science project.

Who Should Apply

Target Audience & Eligibility

Best suited to students who have completed the Python Programming foundation (or already know core Python) and want to move into analytics and machine learning.

  • Graduates of the VS Courses Python Programming course
  • Class 12 / undergraduate students aiming for a data-focused career
  • Early-career professionals adding data science to their toolkit

Why This Program?

Data science is taught here as a pipeline, not a collection of disconnected topics — from cleaning raw data in Python and R to communicating a model's results to a non-technical audience.

  • Statistics taught with intuition first, formulas second
  • Hands-on with pandas, NumPy and scikit-learn, plus R for statistical modelling
  • A capstone project mentored end-to-end by an industry practitioner

Detailed Syllabus

Course Curriculum

A structured, 90 hours-long path from fundamentals to real-world application.

Statistics, SQL & EDA

  • Descriptive statistics & probability
  • Querying data with SQL
  • Data wrangling with pandas & R
  • Exploratory data analysis & visualisation

Machine Learning Foundations

  • Regression & classification
  • Supervised vs. unsupervised learning
  • Model evaluation metrics
  • Feature engineering & cross-validation

Applied Data Science & NLP

  • Introductory NLP & text analysis
  • Clustering & dimensionality reduction
  • Presenting findings & storytelling
  • Capstone project

Practical Application

Real-World Industry Projects

Guided

Exploratory Data Analysis

Clean and explore a public dataset using SQL and pandas, surfacing insights through visualisation.

Applied

Predictive Model

Build and evaluate a classification or regression model in Python or R.

Capstone

End-to-End Data Project

From raw data to a presented result — a full pipeline designed by the student.

Enroll Today

Ready to build your Data Science with Python & R foundation?

Seats are limited per batch to keep mentoring 1:1 and hands-on.

Quick Enquiry