Data Science
Learn how to build predictive models using Python programming that drive decision-making and effective strategy in an organisation
Application is currently closed.
Course Overview
This course is designed for intermediate learners. We recommend that participants arrive with a mathematical foundation or are familiar with Python and programming fundamentals.
Program Eligibility
- A good working laptop (8gb RAM or above, 1TB HDD or 256 SSD)
- A stable internet connection
- A serene environment for virtual sessions
- Ability to pursue the program on a full-time basis
- Prior expression of leadership potential
Testimonials
ValueGate Consulting
Claron Health International
Job Opportunities
Job opportunities you can apply for at the end of the training includes:
- Data Scientist
- Data Architect
- Data Engineer
- Predictive Analyst
- AI/ML Research Scientist
- Machine Learning Engineer
- AI Ethics and Fairness Researcher, etc.
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.
Our Admission Process
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.