Doable

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Data Science Bootcamp – Bridging the Skills Gap in Kenya

🚀 Unlock Your Data Science Potential! Join our 5-week Online Data Science Bootcamp and gain hands-on experience in Python, Machine Learning, ... Show more
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Instructor
Paul Lemaron
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Course details
Duration : 65h
Lectures : 45
Video : 10h
Level : Intermediate
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Kenya’s digital economy is expanding, yet the demand for skilled data professionals outpaces supply. This 5-week Online Data Science Bootcamp is designed to equip IT professionals, university students, and industry practitioners with practical, industry-relevant data science skills.

Delivered through WordPress LMS named Doable the course provides an engaging, interactive learning experience with:
✅ Hands-on Python programming & data analysis
✅ Real-world projects in agriculture, healthcare, and finance
✅ Machine Learning & Deep Learning fundamentals
✅ Peer collaboration, automated assessments & expert mentorship

 

Learners will work on projects using Kaggle datasets, Jupyter Notebooks, and Google Colab, gaining practical exposure to data-driven problem-solving. By the end of this bootcamp, participants will develop job-ready skills, increase employability, and contribute to Kenya’s data revolution.

 

Instructor Profile

Paul Lemaron is a seasoned data scientist, analyst, and technical trainer with over four years of experience in the tech industry. He has worked with leading companies to develop data-driven solutions and has trained students worldwide in programming and data science. Paul specializes in Python, machine learning, and big data analytics, with a passion for making complex concepts accessible to beginners.

 

His hands-on, practical teaching approach focuses on real-world applications and experiential learning, ensuring students acquire skills that translate directly into industry demands. He holds a BSc in Computer Science and an MA in Computing in Education from the American University of Beirut (AUB). His experience includes working as a Clinical Data Analyst at Metropolitan Hospital Nairobi, where he utilizes Power BI, Metabase, SQL, Python, and Excel for healthcare data analysis.

Learning Outcomes           Week 1: Master Python basics and set up the development environment. Week 2: Learn advanced Python concepts and data handling techniques. Week 3: Perform data analysis and visualization using Numpy, Pandas, Matplotlib, and Seaborn. Week 4: Apply data analysis skills to real-world projects.   Week 5: Build ML and DL models, complete 5 hands-on projects, and Learn Cloud computing.  

 

Basic info

Project Title: Bridging the Data Science Skills Gap in Kenya Through an Online Bootcamp
Duration: 5 weeks
Platform: WordPress LMS (Masterstudy) & Articulate Rise 360
Delivery Mode: Fully online, self-paced with interactive modules and real-world projects.

Instruction Design Model: ADDIE Model

 

Learning Outcomes    
     
Week 1: Master Python basics and set up the development environment.
Week 2: Learn advanced Python concepts and data handling techniques.
Week 3: Perform data analysis and visualization using Numpy, Pandas, Matplotlib, and Seaborn.
Week 4: Apply data analysis skills to real-world projects.  
Week 5: Build ML and DL models, complete 5 hands-on projects, and Learn Cloud Computing.  
     

 

Course requirements
  • Basic Programming Knowledge: Familiarity with any programming language is recommended (Python preferred).
  • Internet Access: Stable internet connection for accessing course materials and cloud-based coding platforms.
  • Computer/Laptop: At least 4GB RAM and a web browser.
  • Google Account: Required for Google Colab exercises.

 

  • Commitment: Approximately 13-15 hours per week for coursework, projects, and assessments.
Intended audience
  • University Students & Graduates: Those pursuing IT, computer science, statistics, or related fields.
  • IT Professionals & Software Developers: Looking to upskill in data science and machine learning.
  • Academics & Researchers: Interested in leveraging data analytics for research.
  • Entrepreneurs & Business Professionals: Seeking data-driven decision-making skills.
  • Government & NGO Employees: In sectors like healthcare, agriculture, and finance, where data science can drive impact.
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Data Science Bootcamp – Bridging the Skills Gap in Kenya
Week 1: Python Basics & Fundamentals
Week 2: Advanced Python & Data Handling
Week 4: Real-World Data Science Projects
Week 5: Data Science, Machine Learning, and Deep Learning