Admissions open for live 2026 cohorts
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Programs/AI & Data Science
AI & Data ScienceIntermediate

Data Science and Machine Learning Professional

Move from Python and statistics to evaluated machine-learning models and a job-ready portfolio.

Portfolio outcomePrice prediction model
Duration14 weeks
Live lessons56
LanguageEnglish & Tamil
Learning modeLive + lab
Program fee₹19999

Program overview

Learn the workflow.
Build the evidence.

A mentor-led 14 weeks program designed around practical labs, guided assignments, portfolio work, and clear progress reviews. Learn the workflow employers and modern teams use, then apply it in projects you can confidently explain.

01

Prepare data for modelling

02

Train supervised and unsupervised models

03

Evaluate and improve model performance

04

Communicate data science findings

What you will learn

A focused, practical curriculum.

56 live lessons across 4 learning modules.

Module 01

Python and statistics

PythonPandasStatistics
Module 02

Machine learning

RegressionClassificationClustering
Module 03

Model building

Feature engineeringEvaluationTuning
Module 04

ML capstone

NotebookTechnical reportPresentation

Portfolio work

Projects worth talking about.

Use realistic briefs to practise decisions, implementation, and presentation.

01

Price prediction model

Plan the approach, build the output, review the result, and document what you learned.

02

Customer segmentation

Plan the approach, build the output, review the result, and document what you learned.

03

Classification system

Plan the approach, build the output, review the result, and document what you learned.

Tools & platforms

Learn with the current toolkit.

PythonPandasNumPyscikit-learnJupyterGitHub

Who this is for

A good fit if you are…

  • Developers moving into ML
  • Analytics learners
  • Technical graduates

Before you begin

What you need.

  • Basic Python preferred
  • High-school mathematics basics
Z

Completion & support

Ziawin Elite project and course completion certificate

Includes portfolio feedback, resume guidance, and interview preparation.

WA