Introduction to Data Science#

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What this course is all about#

This course is all about making you love data science. Data science is by definition is multidisciplinary area as you will be dealing with problems that exist in a specific vertical / industry and you ought to understand what the data mean for each domain. In this course we will challenge you with exciting data-intensive problems and teach you from the ground up the concepts that will allow you to capture, transform, model and report in Python notebooks their solutions. The iterative nature of data science is to perhaps the most important meta-pattern - you need to learn how to iterate efficiently. This course requires some intensive effort from your side in both learning these concepts and practicing them in your assigned projects. We hope that we will motivate you to work hard and have some fun along the way.

Logistics

Course Dates: Jan 2023 - May 2023

CS301-102: Tue 6:00pm-8:30pm EST (King 217)

Communication

We use Google chat (NJIT account) for all communication and questions related to lectures and projects. Info has already been sent to you via Canvas. Please install Chat in your smartphones as well.

Office Hours

Professor Office hours will be coordinated via chat - the process is simple: direct message and make arrangements for a 30min slot. After we agree on the slot, please send a GMeet calendar invitation to me. Please include in your invitation the questions / issues you face so that we can have a productive meeting.

Staff (TAs)

Dhruvil Kansara

Grading

Midterm (20%)

Final (30%)

Project (20%)

Assignments (30%)