A hands-on journey through the full data science pipeline — from Python and statistics to machine learning, deployment and MLOps.
Outcomes
Data science drives innovation across every industry. This program equips you with real-world tools, machine learning techniques and business-ready skills.
Career Outcomes
Build a profile that maps to the roles hiring teams are actively recruiting for.
Curriculum
Every module blends live teaching, practice and feedback — open each one to see exactly what you will cover.
A hands-on introduction to programming: essential concepts, key data structures like lists and dictionaries, and your first steps into Object-Oriented Programming.
Organise, format and analyse data efficiently while building the statistical intuition every data scientist needs.
Develop essential programming skills: write, structure and debug code, explore core data structures and get a solid grounding in OOP for data work.
The heart of the discipline: the data science lifecycle, wrangling with Pandas, exploratory analysis, statistical foundations and visualization.
Build, evaluate and explain complex models — then go beyond model-building into ML engineering: pipelines, monitoring, drift and scalable, ethical deployment.
Choose a real-world business problem, apply your Python, ML and AI knowledge to build and evaluate models, then tune and deploy them into production.
Transform data into compelling stories that influence decisions — craft narratives with clarity, structure and visual impact.
Transition from learning to earning: craft a standout resume, build a professional portfolio and prepare for interviews in data-centric roles.
Portfolio
Real datasets, real business questions — every project becomes part of your professional portfolio.
Track student progress, engagement and quiz outcomes with an interactive dashboard that improves retention.
Analyze eco-friendly product performance across regions using sales trends and margin insights.
Build a classification model assessing heart-disease risk from patient history, with feature analysis of key contributors.
Use time-series modelling to forecast daily energy usage on a smart campus and recommend efficiency strategies.
Forecast vaccine requirements from regional trends and mobility data using time-series models.
Classify customer reviews of ethical brands and use explainable AI to uncover sentiment drivers.
Train a model to assess resume-job fit using keyword extraction and classification.
Predict congestion across city routes from traffic, weather and time data — supporting smart-city planning.
Career Services
A dedicated career advisor works with you from first class to final interview.
Personalised guidance on your goals, gaps and the fastest path to your target role.
A resume that works, plus LinkedIn and GitHub profiles that reflect your skills credibly.
Practice real interview scenarios with expert feedback until you walk in confident.
Curated openings aligned to your skill set, with guidance on positioning your profile.
Eligibility
Individuals with at least 50% marks in graduation, seeking a strong launchpad into the data industry.
Early- to mid-career professionals looking for a career transition, skill upgrade or salary growth in data-driven roles.
Evaluation
Assessment is continuous and practical — you always know where you stand and what to improve next.
Every module ends with a 10-question quiz. Score 70% to pass, with unlimited retakes and explanations for every answer.
Practical labs after each module, reviewed with mentor feedback so skills stick beyond theory.
Your capstone is evaluated by faculty on approach, execution and a stakeholder-style final presentation.
A comprehensive overall quiz spanning all modules — 50 questions, 70% to pass — confirms you are certification-ready.
Try It
A taste of the module quizzes inside the program. Click an answer to check yourself — instant feedback, no signup needed.
With rare positives, accuracy misleads — precision and recall reveal how well the model finds the minority class.
Held-out test data estimates real-world performance and exposes overfitting.
XGBoost combines many weak tree learners through boosting into one strong predictor.
Well-crafted features — ratios, encodings, aggregates — often improve models more than algorithm choice.
Streamlit turns Python scripts into shareable web apps — the fastest path from model to demo.
Certification
An industry-recognised credential from Skill Expresso Edu Solutions that enhances your professional profile and accelerates your career growth.
Admissions
Complete the online application form with your basic details and background.
Our admissions team evaluates your academic and professional suitability.
A one-on-one discussion to clarify goals, learning path and expectations.
Receive your confirmation of selection and payment instructions.
Complete payment, receive LMS access and begin your learning journey.
Talk to a counsellor, get your questions answered, and find out if this program is the right fit — no pressure, no obligation.