Data Science Course

  • Course level: Intermediate  
There are no active Semester Schedule for this course   Pre-registar


This is a project-based course designed for trainees with some programming background interested to learn machine learning techniques and predictive analytics. As a programming language, we will Python to develop the machine learning algorithms.


On successful completion of this course, students will be able to:

  1. Understand and describe the essential concepts of AI and Machine Learning
  2. Identify and implement appropriate Machine Learning techniques to build and validate the predictive models
  3. Clean the datasets and prepare them for machine Learning projects
  4. Understand and implement the supervised and un-supervised machine learning algorithms
  5. Practically design and run the Machine Learning projects in Python


  1. Introduction to Data Science: Concepts and Applications
  2. Fundamentals of Machine Learning
  3. Machine Learning pipeline
  4. Train and Test Datasets
  5. Data preprocessing, Cleaning, and visualization
  6. Supervised and unsupervised algorithms
  7. Building and validating the Regression models
  8. Building and validating the Decision Trees
  9. Building Clustering and Classification Models
  10. Final Project: Applying Machine Learning techniques to a real dataset and building the predictive models

Registration fee :
€ 590

Target audience

  • Company workforce, students and graduates in:
  • • Computer science and IT
  • • All engineering subjects
  • • Business, Accounting and Finance
  • • Bioinformatics & Biotechnology


  • Basic Python