The Data Jedi Academy is an 8 week program where you build a real-world project whilst collaborating with other data professionals using professional data management and collaboration tools.
(3-month Installment Plan available)
Each track has its own specific set of topics it covers. The idea here is that you apply what you learn in a technical and soft skills session to your assigned project.
The Academy is for people who have an understanding of the basic skills needed to succeed as a professional Data Scientists. It's for people who've done a lot of tutorials/courses but now want to focus on building projects because they know practice is the key to leveling up their knowledge.
We're specifically looking for people who have:
You already know how to write python code, you can write functions, for loops and if else statements. You know how to use python libraries.
You know what supervised and unsupervised learning is. You understand when a problem requires a classification model vs a regression model.
You enjoy solving difficult problems. When you don't know something, you know how to use the internet to research the issue and find solutions or tips to help you create a solution.
The data science learning journey is very difficult. In order to make significant progress and take advantage of the program, you need to commit to working at least 10 hours per week.
We have created and curated a set of unique and challenging projects for you to take on. These projects have been designed with a strong focus on making them Enterprise-ready.
You will not only build ML models and do analysis but you will also have to deploy your models on a cloud server, write unit tests and create interactive web apps.
Feedback is critical to the learning process so, after the completion of each project, each team will get a detailed note with feedback on their code, presentation and analysis technique.
Having a strong CV is crucial to getting past the initial stage and to the interview stage. With the help of recruiters and Data Science managers, we will learn what makes a strong CV.
Using collaboration tools like Slack, Git and a Data Science focused agile framework, you will learn how professional Data Science teams work together.
Communicating the results of your model or analysis to non-technical people is a critical skill. After each project, you will get the chance to present to a wide audience.
If you attend the technical, coworking and standup sessions, meet your project milestone deadlines, and still don’t find the course useful, drop us an email and we'll happily refund your full payment within 30 days of the start of the program.
However, please note that the money-back guarantee only applies if you actually do the work and meet project milestones and deadlines. If you don't do the work, you won't get any value from the course. And because we're capping our capacity, by signing up and not doing the work, you're taking a space away from someone else who would've done it and gotten 100x more value from it 🙂
Folajimi is a Data Scientist and AI Product Manager who has spent the last 5+ years building data-driven products across different industries in Financial Technology, Logistics and Aviation in the UK.
He holds a MEng degree in Aeronautical Engineering and is a passionate advocate for STEM education amongst Africans.
Bayo is a Microsoft certified Azure Data Scientist and AI Engineer Associate with 15 years of experience across different Information Technology roles in the Oil & Gas and Banking industries in Nigeria.
He holds a BEng degree in Electrical & Computer Engineering and an MSc in Data Science.
Tobi is a Microsoft Certified Data Analyst and Data Engineer with 3+ years experience across the Financial Services and Manufacturing sectors.
He holds a BEng in Agricultural Engineering and has facilitated training courses for organisations like CIBN, Coscharis Group, etc.
Abraham is a Data Scientist at a fast growing international FinTech Bank with 3+ years experience building data products and credit scoring models.
He holds a First Class BEng Degree in Computer Science and is passionate about inspiring enthusiasts and helping them find a good bearing in the data space.
Here are some special guest speakers we have lined up for the course.
Chukwudum is a Data Science Team Lead at a top global consulting firm in the UK. He has led different projets across energy, finance and sport sectors.
He holds an MSc in Mechanical Engineering, UCL and is currently pursuing an MSc in Business Analytics with Imperial College, and a Chartered Accountant certification with the ACCA.
Kolade is a Data Scientist at ComplyWorks in Canada.
Prior to transitioning to Canada, he worked as a Data Analytics consultant at PwC in Nigeria where he led projects across various industries.
He holds an BSc in Electrical & Electronics Engineering from University of Lagos.
Tomi Ibirogba is a Senior Human Resources Advisor (Europe) at AET. She has won several HR awards and runs a successful career consultancy, My Career Couch.
She holds a Masters Degree in International EMployment Relations and HR management from London School of Economics (LSE).
If you think you'd be a great fit for the program, but money's an issue right now, please apply for one of our Scholarships. You need to already have a strong foundation in Data Science and have a tireless work ethic to apply.