The Data Incubator is a 16-week (4 months) immersive program for those interested in acquiring hands-on data science and analytics skills- regardless of their discipline.
During the Incubator, participants will be taken through the theoretical concepts of data science and analytics. Participants will also learn how to use some of the most prominent data science and analytics tools; Microsoft Excel, Python, and Tableau for data wrangling, exploration, analysis, and visualization.
The objective of the program is to produce ready-for-hire data analysts and data professional that are grounded in the theoretical concepts of data science and analytics, and also possess practical skills in data analytics, visualization, and modeling. Furthermore, the program also aims to expose and groom participants on the soft skills and professional ethics required to work as data professional
The time you will spend in the incubator is going to the rigorous, engaging, tough, but amazing. You will work closely with our expert instructors, alumni, and fellow students to learn and master in-demand skills to help launch your career in data science and analytics. During the program, you will be divided into groups to work on real-life projects, embark on inter-team competition, and deliver presentations. On top of this, you will work on your capstone project towards the end of the program using real-life data to solve business, economic, or policy problems – depending on what interests you.
The incubator will span 16-week (4 months), during which you will be learning/working from our hub in Akure or REMOTELY from your location. Office Hours are thrice weekly, spanning 10:00 am to 4:00 pm (GMT +1)
A certificate shall be issued to eligible participants at the end of the program based on the following criteria.
Participants can join the incubator and participate either.
During the incubator, you will be evaluated and assessed in the following ways.
USD1,000 equivalence of NGN450,0000
Limited scholarships and financial aids are available for financially challenged applicants or persons from less privileged backgrounds. Scholarship applications from the following groups will be given priority.
Scholarship value: 85%
Scholarship value: 90%
Scholarship value: 70%
Induction into ZACRAC Learnings Data Professional Network
Employment opportunities with the company’s hiring partners.
Free branded items like drinkware, stationery, bags, and apparel
Able and trained hands on deck