Data Science & Machine Learning – May Cohort

This cohort is structured to provide an in-depth understanding of both the theoretical foundations and practical applications of data science and machine learning.

Cohort Overview

The May cohort for the Data Science & Machine Learning program is a comprehensive learning pathway designed to equip participants with the skills and knowledge required to excel in the fields of data analytics, predictive modeling, and artificial intelligence.

 

This cohort is structured to provide an in-depth understanding of both the theoretical foundations and practical applications of data science and machine learning.

 

This cohort is ideal for aspiring data scientists, analysts, and anyone looking to transition into the field of artificial intelligence and machine learning with a solid, practical foundation.

What's Included

  • Fundamental concepts of statistics, probability, and data analysis.
  • Data cleaning, preprocessing, and exploratory data analysis techniques.
  • Machine learning algorithms, including supervised and unsupervised learning.
  • Deep learning introduction and neural network applications.
  • Real-world projects and case studies to bridge theory with practice.
  • Access to mentorship from industry professionals.
  • Interactive lectures and hands-on workshops.
  • Collaborative learning with peers to foster teamwork skills.

Key Details

Training begins on May 5, 2026. Applications close on April 30, 2026. Early enrollment is encouraged as seats fill quickly.

Twelve weeks of structured learning from May 5, 2026 through August 5, 2026. Total commitment is approximately twenty hours per week including live sessions and independent work.

Classes meet Tuesdays, Thursdays, and Saturdays from 10:00 AM to 1:00 PM West Africa Time. Sessions are live and interactive with recorded access for asynchronous review.

This cohort is delivered live online via Zoom. You will need a stable internet connection, a laptop or desktop computer, and design software access. Technical support is available throughout the program.

This cohort is led by Chioma Adeyemi and Zainab Hassan, both with extensive experience in digital product design and user experience across African and global markets.

Only limited (25) seats is available for this cohort. Enrolment is limited to 25 students to ensure personalized instruction and meaningful peer interaction throughout the program.

Full payment is ₦200,000. Instalment plans are currently not available. Secure online payment and bank transfer are both accepted.

Upon completion with eighty-five percent attendance, you receive a professional certificate from NovelTech Academy. This credential is recognized by employers and can be shared on LinkedIn and professional profiles.

Instructors

Your Instructors

This cohort is led by approved instructors with experience in the subject area.

Daniel Johnson

Data Scientist

Daniel Johnson specialises in applying machine learning and predictive analytics to solve real-world problems.

  • Attendance

    Completion Requirements

    To successfully complete this cohort and receive a certificate, learners must attend scheduled sessions and meet participation requirements. A minimum attendance threshold applies.

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    Process

    Registration and Enrolment Process

    Registration

    Complete registration and payment to create your student account.

    Apply Or Enroll

    Apply for a cohort or enroll directly, depending on the program structure.

    Confirmation

    Approved applicants receive instructions for tuition payment and cohort access.

    Learning

    Begin training with your assigned cohort according to the schedule.

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    FAQ's

    Questions

    Find answers to common questions about enrollment, attendance, and certification

    This cohort requires basic familiarity with the fundamentals covered in our foundational course or equivalent experience. No advanced background is necessary. We assess readiness during the application review process.

    Full refunds are available up to seven days before the cohort start date. After training begins, refunds are not available, though you may request a deferral to a future cohort if circumstances change.

    Yes. Certification requires a minimum of eighty-five percent attendance. We understand life happens, and you may request one excused absence. All sessions are recorded and available to students who complete the program.

    Certificates are issued within five business days of cohort completion, provided you meet the attendance requirement and complete any final assessments. Digital certificates are sent via email and can be shared directly.

    Yes. Bank transfer is available as a payment option. You will receive payment instructions after selecting this method. Your access begins once payment is confirmed by our finance team, typically within one business day.

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