Master core libraries like NumPy, Pandas, and SciPy to conquer data manipulation, analysis, and machine learning tasks.
Transform raw data into usable formats. Craft impactful features that elevate model performance through cleaning and manipulation techniques.
Craft compelling visualizations with Matplotlib and Seaborn. Communicate data insights effectively to any audience.
Dive deep into popular algorithms like decision trees and random forests. Grasp the power of deep learning frameworks (TensorFlow/PyTorch) for tackling complex problems.
Gain exposure to cloud platforms (AWS/GCP/Azure) for scalable and efficient data science workflows.
Understand Apache Spark's & hadoop's principles for handling massive datasets that traditional machines can't.
Become an expert at extracting insights from data. You'll clean, analyze, and visualize data to answer critical business questions and inform strategic decision-making.
Bridge the gap between data science and engineering. You'll design, develop, and deploy machine learning systems at scale, ensuring optimal performance and real-world impact.
Architect data infrastructure. Design, develop, and maintain data pipelines and storage systems, ensuring security and accessibility for data scientists and analysts."
Delve deeper into the world of data. You'll build and deploy sophisticated machine learning models to solve complex problems, automate tasks, and predict future trends.
Become a translator between data and business strategy. You'll use your data science skills to identify trends, generate reports, and provide actionable insights to stakeholders across the organization.
Explore AI frontiers. Dive into deep learning, natural language processing, and computer vision. Innovate algorithms, conduct rigorous experiments, and advance ML theory and practice
Learn the cutting-edge tools and techniques used by top companies today. Our curriculum evolves with the field and keeps pace with contemporary trends, ensuring you're future-proof.
Our instructors are skilled data science professionals who provide practical insights and mentorship from their real-world experience to support your journey towards success.
Dive into real-world projects and gain hands-on experience tackling data challenges faced by leading companies, allowing you to enhance your skills and expertise in practical scenarios
While a background in a quantitative field and basic programming skills are beneficial, we welcome applicants from diverse backgrounds. The program is designed to take you from beginner to job-ready, providing you with the necessary foundations in mathematics, statistics, and programming.
Nigerian youth aged 18-35, with a focus on underserved groups such as women, girls, rural communities, and unemployed graduates, are eligible to apply for Spark 9ja.
Spark 9ja has strong partnerships with leading companies in the tech industry. We provide comprehensive career support, including resume and portfolio development, mock interviews, and networking events. Our dedicated placement team works closely with graduates to connect them with suitable job opportunities.
The Data Science track is designed to be intensive and immersive, requiring a significant time commitment. While some participants may be able to balance the program with a full-time job, we recommend dedicating yourself fully to the learning experience to get the most out of it. If you have specific concerns, please reach out to our admissions team to discuss your situation.
Throughout the Data Science track, you will have the opportunity to work on a variety of projects that mirror real-world data science challenges. These projects will range from exploratory data analysis and machine learning model building to big data processing and data visualization. You'll work with real datasets from industries such as finance, healthcare, e-commerce, and social media. The capstone project will allow you to showcase your skills by tackling an end-to-end data science problem, from data preprocessing to communicating insights. These projects will help you build a strong portfolio to showcase to potential employers.