Data Science

Combine programming, statistics and machine learning to solve real-world data problems. This beginner to advanced program follows a practical, step-by-step approach — every module combines concept sessions with guided hands-on practice, so you build real, job-relevant skills in Data Science.

• Python
• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn
• SQL
• Statistics

• Clean, analyse and visualise real datasets
• Apply statistics to real business problems
• Build and evaluate predictive models
• Communicate insights with dashboards & reports
• Use modern AI tools responsibly and effectively
• Present end-to-end data projects

1. 01Python for Data Science
   • Python basics
   • NumPy
   • Pandas
   • Jupyter notebooks
2. 02Data Wrangling & EDA
3. 03Statistics & Probability
4. 04Machine Learning
5. 05Visualisation
6. 06Capstone

Curriculum may be updated to reflect current industry practices. Contact us for the latest syllabus.

• 1House Price Prediction
• 2Customer Churn Prediction
• 3Movie Recommendation System

• Structured, step-by-step curriculum
• Hands-on coding in every module
• Real-time project development
• Mentor guidance & doubt clearing
• GitHub portfolio building
• Interview preparation support

1. 01Concept sessions with clear, real-world examples
2. 02Guided hands-on practice after every topic
3. 03Assignments and regular skill assessments
4. 04Mini projects and a final real-time project
5. 05Mentor reviews, feedback and doubt clearing
6. 06Career preparation: resume, portfolio & mock interviews