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
Exploratory Data Analysis
Clean and explore a public dataset using SQL and pandas, surfacing insights through visualisation.
Predictive Model
Build and evaluate a classification or regression model in Python or R.
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.