Python for Data Science

Master the complete data science workflow using Python—from raw data to a full end-to-end project.

Fees 75,000 SDG

This course provides a comprehensive, hands-on introduction to Data Science using Python, covering all essential stages of the data science lifecycle. Learners will progress from data collection and cleaning to exploration, analysis, visualization, and basic modeling, culminating in a complete applied data science project.

Designed for beginners and early-career professionals, the course emphasizes practical implementation over theory, using real-world datasets and industry-relevant tools. By the end of the course, participants will be able to confidently apply Python to solve data problems, communicate insights, and deliver a structured data science project suitable for academic or professional portfolios.

What You Will Gain

• A clear understanding of the end-to-end data science process
• Practical Python skills for data cleaning, analysis, and visualization
• Hands-on experience using key data science libraries
• Ability to build and present a complete data science project
• Confidence to apply data science techniques to real-world problems

Course Snapshot

• Modules: 5

1. Basics of Python
2. Data Preprocessing
3. Data Visualization
4. Machine Learning
5. Case Study – Customer Segmentation

• Total Duration: 12:08:55
• Format: Pre-recorded sessions with hands-on coding exercises
• Assessments: End-of-Module Tests and A project
• Tools: Python, Jupyter Notebook, Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn
• Certificate: Professional Certificate of Achievement subject to successfully passing all end-of-module tests.

Who This Course Is For

• Beginners interested in data science and analytics
• University students in data-related or technical fields
• Professionals seeking to transition into data-driven roles
• Analysts and developers wanting to strengthen Python data skills

Prerequisites

• Basic computer literacy and familiarity with working with files and folders
• No prior data science or advanced programming experience required

Why Enroll

• Covers all key stages of the data science lifecycle
• Strong focus on hands-on learning and real datasets
• Project-based approach suitable for portfolios and career growth
• Beginner-friendly with practical, step-by-step guidance
• Skills applicable across industries and domains

Career Impact

• Build a strong foundation for entry-level roles in data analysis and data science
• Develop practical, job-relevant Python skills for data-driven decision-making
• Create a complete, portfolio-ready data science project to demonstrate applied skills
• Improve readiness for advanced analytics, machine learning, and specialized data roles
• Increase career mobility across industries adopting data-driven practices

Build real data science skills—and finish with a complete Python project you can showcase.
Enroll now on ElitePath

About Instructor :

Dr. Mohamed Abdalla has extensive experience applying data science, machine learning, and AI across sectors such as banking, stock exchange, government, and education. His expertise also spans project management, IT strategy, and product development, enabling him to lead and deliver innovative digital solutions. He has worked on projects ranging from market risk modeling and financial analytics to conflict data analysis and digital transformation. As an experienced trainer, he designs and delivers practical, industry-focused courses that help learners gain the skills needed to succeed in today’s data-driven world.