Practical Data Science Course with Python & Machine Learning

This hands-on Data Science program equips participants with essential skills in Python programming, data visualization, statistics, data cleaning, and machine learning. Through practical exercises and real-world examples, learners will gain the confidence to analyze data, build predictive models, and make data-driven decisions. The program is ideal for aspiring data analysts, developers, and professionals looking to start a career in Data Science.

Module 1: Data Fundamentals & Python Basics 
Module 2: Data Visualization 
Module 3: Statistics for Data Science 
Module 4: Data Cleaning and Preprocessing 
Module 5: Machine Learning – Supervised Learning 
Module 6: Machine Learning – Unsupervised Learning

This Course is High Focuses on :

• Hands-on Learning :
  Practical exercises, real-world datasets, and industry projects.
• Comprehensive Curriculum :
  Covers Python, statistics, machine learning, and AI fundamentals.
• Capstone Project :
  Apply all concepts in an end-to-end data science project.
• Industry-Relevant Skills :
  Focus on tools like Pandas, Scikit-Learn, TensorFlow, and Power BI.
• Data Storytelling :
  Learn how to visualize and present insights effectively.
• AI & Machine Learning :
  Introduction to deep learning and NLP.
• Model Deployment :
  Learn how to deploy ML models in real-world applications.

Key Details:

Date: 28 Dec 25 - 26 Feb 26

Main Goal: Build a strong foundation in Data Science, Python, and Machine Learning
Duration: ~36 Hours
Format: Live Online via Zoom + All Sessions Recorded
Outcome: Practical skills to analyze data, create visualizations, and build ML models
Target Audience: Aspiring data analysts, developers, and professionals entering the Data Science field


Accreditations: ACTD - AWS - نقابة المهندسين