We completely redefine how untapped African talents are skilled and prepared for the future of work.

Explore Our Offerings

Data Analytics
[Beginner Course]

Master the industry tools to transform, analyze large real-world data sets and present insights.

Digital Marketing
[ Beginner Course]

Apply modern marketing strategies, and drive growth with comprehensive, multichannel campaigns.

Data Science
[Intermediate Course]

Leverage statistics, software development, and hidden patterns in data to train and develop models.

Blossom Academy Training Overview

Blossom Academy recruits and develops unemployed youth and underemployed working professionals, with the goal of matching them with the most innovative companies.

Intensive Training

Develop intensive data skills anywhere from 12 to 24 weeks, coupled with soft skills training and dedicated careers support.

Internship Placement

Join our job portal, where we match you to job opportunities with innovative companies in our network.

On-Going Mentorship

Get support from our in-house data scientists and alumni community while going through the internship phase.

Economic Opportunity

90% of our program graduates secure data science jobs within 3 months, earning 4x - 6x the average salary of their peers.

Take the Leap and Start Your Journey

Blossom Academy creates a community by admitting students who bring creativity, ingenuity, and curiosity to the classroom.

Step 1 → Apply

Submit your application. Share a bit about yourself and what's driving you to start a career in data science.

Step 2 - Admissions Assessment

Complete a short critical thinking and problem-solving assessment. This allows us to assess your aptitude for data.

Step 3 - Admissions Interview

Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical - just a friendly conversation.

Step 4 - Admissions Decision

Receive your acceptance decision from Admissions. This usually happens within 3 business days.

Step 5 → Prework

If accepted, you'll begin course pre-work to prepare for the first day of class. Our data courses pre-work consists of 20-40 hours of lessons and labs covering the basics of Python (including loops and functions), statistical measures such as central tendency and dispersion, and building data visualizations using matplotlib and seaborn.

Our Three Pillars

Blended Peer Learning

You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.

Mentor-Based Learning

A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn from your experiences.

Projects-Based Learning

Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals currently in analytics positions.

Join the Fastest-Growing Corner of the Tech Industry

More than ever before, companies are relying on data to make business decisions. Without data science, these industry trends stay undiscovered — no story to tell and no insights to share. In order to determine business goals, more and more companies are looking for data scientists to fill in the gaps. Data science is one of the fastest-growing and sectors of the tech industry.


Growth in Data Science Jobs Since 2012

Our courses will qualify you for a position as a data scientist or a data analyst. If you have a professional background in programming, you may also be able to get a position as a data engineer or a machine learning engineer.

What Our Graduates are Saying About Us