Data Science

Data Science: 6:30 PM – 8:00 PM every alternate Thursday, 110 Ryan Industrial Court, San Ramon, CA 94582 for 9th – 12th graders.

Description: In this course, high schoolers with an interest in computer science and data science will gain exposure to the world of data analysis, visualization, and mathematical prediction. They will be mentored by an IBM data scientist and a group of passionate individuals to solve problems with large amounts of data to build up the foundations of data science, statistics and machine learning. Using those foundational skills, students will complete an interesting and challenging final project.

Students are expected to have basic concepts of algebra and programming. The course is fast paced and covers many topics in a short span of time, so regular attendance and maintaining integrity in classes are utmost important things expected from students.

Cost: We will be requiring a 100 dollar fee (one-time payment) for the complete course from November to April in order to cover the cost of insurance, cleaning fees, and Wi-Fi.

2019-2020 Data Science Calendar:

The first 9 sessions are targeted to teach the foundational skills of Data Science. In next 3 sessions, students will be divided into groups and work towards completing a final project. The students will have the opportunity to submit this project into the Kaggle Competition. 

November 14: Review of programming fundamentals, Introduction to Python, IBM Watson Studio account set-up and tutorial

December 5: Introduction to Python packages: numpy, pandas, scipy, scikit-learn

December 19: Math foundations: Statistics, Probability, Arrays/Matrices

January 16: Data Processing and Visualization

January 30: Introduction to Machine Learning

February 13: Machine Learning Algorithms I

February 27: Machine learning algorithms II

March 12: Guest Lectures

March 26: Introduction to Projects

April 16: Project Benchmark

April 30: Final Presentations and Wrap-Up

Our mentor for this class is Sourav Mazumder, an IBM data scientist.

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