OUR FOUNDATION COURSES
EQUIP YOURSELF WITH ESSENTIAL SKILLS FOR RESEARCH AND STEM APPLICATIONS
STEM Foundations Programs
Duration: Each course is 10 hours, completed over ten 1-hour sessions.
Format: Small group (4-5 students) with personalized mentorship and hands-on projects.
Our Python and R Foundation courses are designed to give students a robust introduction to programming with applications tailored for STEM fields, including digital chemistry and computational biology. Whether you’re a beginner or looking to sharpen your skills before advanced studies, these courses lay the groundwork for data analysis, visualization, and scientific problem-solving.
Python for STEM Foundations
Course Objective:
Learn Python fundamentals for scientific data analysis and problem-solving.
Session Highlights:
-
Basics of Python syntax and programming.
-
Control structures and creating functions.
-
Data manipulation with Pandas and Numpy.
-
Data visualization with Matplotlib and Seaborn.
-
Real-world STEM project using Python.
R for STEM Foundations
Course Objective:
Gain foundational skills in R for data analysis, visualization, and statistical computing.
Session Highlights:
-
Data types and basic operations in R.
-
Basic statistical analysis and hypothesis testing.
-
Advanced visualization techniques with ggplot2.
-
Real-world STEM project using R.
Why Choose Us?
-
Small Groups & Personalized Support: Work closely with mentors in small groups, receiving guidance tailored to your learning pace and goals.
-
Practical, Real-World Applications: Our course projects are based on actual research and industry applications, preparing you for advanced study or internships.
-
Course Materials Included: Receive all necessary course resources, including datasets, code templates, and hands-on exercises to practice and reinforce your learning.
Ready to Begin?
-
Start building your skills in Python and R—foundational tools in computational biology, data science, and digital chemistry.