Data Science live training session at Linkskill Academy
Home / Courses / Data Science
Data & AI Track

Data Science

From messy data to a working machine learning model.

ModeOnline · Offline · Hybrid
FormatLive, project-based
IncludesCapstone + Portfolio
SupportInterview calls till placement

Overview

This program takes you through the full data science lifecycle — cleaning, exploring, modelling and deploying — on real, not toy, datasets. You'll build a portfolio of models, learn where classical ML still wins over an LLM call, and finish with a deployed project you can show in interviews.

Tools & Technologies

PythonPandas & NumPyScikit-learnJupyterSQLPower BIMatplotlib/SeabornGit

Curriculum

01

Statistics & Python Foundations

  • Descriptive & inferential statistics
  • Probability for ML
  • Python for data manipulation
  • Exploratory data analysis
02

Machine Learning

  • Supervised vs unsupervised learning
  • Regression & classification
  • Feature engineering & selection
  • Model evaluation & cross-validation
03

Working with Real-World Data

  • Handling messy, incomplete datasets
  • Outlier & bias detection
  • Data pipelines
  • Ensemble methods (Random Forest, XGBoost)
04

Deployment & Portfolio

  • Model deployment basics
  • Building a results dashboard
  • Documenting a project for a resume/GitHub
  • Capstone presentation

Who This Is For

🎓

Engineering/Science graduates

Want to move into analytics or ML-driven roles.

💼

IT professionals

Developers or analysts upskilling into data science.

🔄

Career switchers

Building a portfolio from scratch with guided projects.

Roles You Can Target

Data ScientistML AssociateData AnalystAnalytics Consultant

Still deciding?

Tell us your background and goal — we'll tell you honestly if Data Science is the right fit, or point you to one that is.

Chat on WhatsApp