Advanced Data Science (Honors)

Course Overview:

This Advanced Data Science Honors online course is provided by our specialty partner, 2Sigma School. 

2Sigma School takes an interactive approach to data exploration, rather than a lecture based approach. Our classes are hands-on and use several tools that are used by leading data scientists as well as higher education universities.

The Advanced Data Science is equivalent to a 1-semester college level course, adapted for high school. It combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand the phenomenon and draw conclusions? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design.

Data science is more than just a combination of programming and statistics. Effective data science requires understanding problem domains and correctly interpreting domain-specific approaches. The examples in this course are largely drawn from real-world data sets, and one of the main goals of this course is to develop the ability to apply analysis and prediction techniques to real-world scenarios.

This is an advanced course meant for students who have experience with Python programming or who have previously taken the AP Computer Science A class. At the end of the course, students will have a portfolio of their data science work to showcase their newly developed knowledge and understanding.

In order to maximize our time together during the live sessions, we use a flipped classroom model that includes pre-work for every class. This allows students to program with the support of an instructor during the class. The pre-work includes pre-recorded videos, online reading, and some programming practice.

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