Meet The Instructors
Dr. Ayodeji Akiwowo
Senior Data Scientist, UK
Dr. Ayo Akinduko
Senior Data Scientist, UK
Day 1
Understanding and Collecting Data
Date: Saturday 24th August.
Participants will grasp the fundamentals of data, including types of data, data collection methods, and best practices for ensuring data quality.
Day 2
Analyzing, Visualizing, and Applying Data
Date: Saturday 31st August.
Participants will learn how to analyze data, create visualizations, and apply insights to make informed decisions.
Meet our Instructor
Dr. Ayodeji Akiwowo
Senior Data Scientist, UK
Day 1
Understanding and Collecting Data Objective
Participants will grasp the fundamentals of data, including types of data, data collection methods, and best practices for ensuring data quality.
Day 2
Analyzing, Visualizing, and Applying Data Objective
Participants will learn how to analyze data, create visualizations, and apply insights to make informed decisions.
Registration Details
Training Fee
- Early Bird Fee: £100 (Register by 17th August 2024)
- Regular Fee: £200 (After 17th August)
- 50% Discount Promo Code: HDWS50
- Promo code expires after August 23rd
Training Dates
- Day 1: Saturday 24th August
- Day 2: Saturday 31st August
- Registration Deadline: August 23rd.
- Please note that payment confirms your registration.
Payment Link
We have two payment channels: Africa and International.
Please click the button that applies to your location and make payment.
Benefits of the Training Program
Hands-On Training
Real-world case studies and exercises to ensure participants develop practical data handling and analysis skills.
Career Guidance
Receive insights into data analytics career paths and essential skills from experienced trainers and industry mentors.
Networking Opportunities
Connect with peers and industry professionals, building valuable contacts for future career opportunities.
Who Should Attend?
Professionals looking to enhance their Excel skills.
Business owners aiming to leverage data for growth.
Students and graduates seeking to enter the data analytics field.