Data Science Track
Master the skills to turn raw data into real-world insights. Learn programming, statistics, machine learning, and data visualization to solve complex problems and drive smarter business decisions.
Apply NowThe schedule and flyer below describe a past cohort. Contact admissions for current dates and availability.

Course Overview
Read the installation and setup FAQ
Target Audience
Beginners, Professionals, Students, and anyone looking to transition into data science.
Duration
12 Weeks
February 2026 - April 2026 (Weekends)
These dates are for a past cohort. Confirm the next start date before applying or paying.
Course Fee
Loading...Includes certificate and class recordings
Course Curriculum
WEEK 1 - Data Science Foundations
WEEK 2 - Python for Data Analysis
WEEK 3 - Data Wrangling & Cleaning
WEEK 4 - Data Visualization & Storytelling
WEEK 5 - Statistics for Data Science
WEEK 6 - Machine Learning Foundations
WEEK 7 - Supervised Learning Algorithms
WEEK 8 - Unsupervised Learning Algorithms
WEEK 9 - Model Optimization & Interpretability
WEEK 10 - From Script to Application
WEEK 11 - Professional Data Workflows
WEEK 12 - Capstone & Career Launch
Learning Outcomes
Graduates will be able to clean and analyze complex datasets, build predictive models, and communicate data-driven insights effectively to stakeholders.
By the end of the 12-week Data Science bootcamp, learners will be able to confidently work with real-world datasets, clean and prepare data, perform statistical analysis, and create compelling visual insights. They will understand the full data science lifecycle and be capable of building, evaluating, and improving machine learning models using industry-standard tools. Graduates will also gain hands-on experience deploying models and presenting data-driven solutions, enabling them to step into data-focused roles with a strong portfolio project that showcases their technical and analytical abilities.
Ready to Get Started?
Join our 12-week Data Science bootcamp and transform your career with hands-on skills.
