Beginner Web Scraping with Python Cohort2

Dive into a practical, expert-led masterclass designed to build your analytics and data science expertise.

Beginner Web Scraping with Python Cohort2

Beginner Web Scraping with Python Cohort2

  • Dates: March 26, 2026 – April 6, 2026
  • Time: 7 PM-8:30 PM
  • Fee: KES 5,000
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About the Event

Beginner Web Scraping with Python

Course Overview

This course introduces beginners/intermediates to the fundamental concepts and practical skills of web scraping using Python. It is designed to be highly interactive and hands-on, guiding learners from basic web structures to developing real-world scraping projects using both static and dynamic scraping tools. By the end of the training, participants will be able to inspect, scrape, clean, and export data from websites using ethical and efficient methods. 

Course Content

Day 

Date 

Objective 

Delivery

Tuesday 

Mar 26, 2026 

Onboarding, Intro to Web Scraping, 

HTML Basics, Tools Setup

Live Session 

(6pm–8.30pm)

Wednesday 

Mar 27, 2026 

Scrape a basic site using BeautifulSoup and Requests

Take-away 

Assignment

Thursday 

Mar 28, 2026 

Pagination, data 

cleaning, exporting, error handling

Live Session 

(6pm–8.30pm)

Friday 

Mar 29, 2026 

Scrape multi-page site and initiate 

group capstone 

project

Take-away + 

Capstone Brief

Tuesday 

Apr 02, 2026 

Selenium for 

dynamic content, 

project mentorship

Live Session 

(6pm–8.30pm)

Wednesday 

Apr 03, 2026 

Capstone project 

development 

(Groups)

Self-paced Project Work



Thursday 

Apr 04, 2026 

Capstone project 

development

Self-paced Project Work (Assistance and Help from tutor and peers, q&as)

Friday 

Apr 05, 2026 

Capstone project 

presentation

Live Session 

(6pm–8.30pm)

Saturday 

Apr 06, 2026 

Capstone project 

project

Deadline for project submission (6pm)


Trainer 







Trainer: Daltone Otieno 

Data Scientist and Software Engineer 

LinkedIn: https://www.linkedin.com/in/daltone-otieno/ 

X: https://x.com/dalton_o_n 

Daltone Otieno is a software engineer and data scientist with a strong background in data analysis, machine learning, web development, and digital training. He has mentored dozens of students and professionals through bootcamps and initiatives like Zindi, ALX, and Mindhub. With expertise in Python, and machine learning, Daltone focuses on building practical AI-driven applications, especially for African