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Foundations of Data Science · Fall 2021 · SBU Computer Science Dept.
| INSTRUCTOR | Saeed Reza Kherapisheh |
| LECTURES | Sundays 07:30 – 09:00 |
| Tuesdays 07:30 – 09:00 | |
| DISCORD | CS SBU |
| MATERIAL | Notebooks |
Description
This course is an introduction to data science. It is an overview of the latest primary knowledge and skills in the data science criteria, focusing on the basics of linear algebra, probability and statistics, first steps of working with data, data wrangling, exploratory data analysis, visualization techniques, and the essentials of supervised learning, time series analysis, and unsupervised methods. There are no particular prerequisites, and we tried to cover everything to our potential.
Lectures
Legend: 🖥 slides, 📓 Jupyter notebook
| Week | Format | Title | Resources |
|---|---|---|---|
| ① | Lecture | Introduction | 🖥 📓 |
| Linear Algebra (NumPy) | 📓 | ||
| ②, ③ | Lecture | Probability and Statistics Basics | 🖥 📓 |
| Practicum | Assignment 1 | 🖥 | |
| ④ | Lecture | Data Wrangling | 📓 |
| Exploratory Data Analysis | 📓 | ||
| ⑤ | Lecture | Data Visualization | 🖥️ |
| Practicum | Exercise 4 | 🖥 📓 📓 |
People
| Role | Photo | Contact | About |
|---|---|---|---|
| Instructor |  |
Saeed Reza Kheradpisheh s_kheradpisheh@sbu.ac.ir |
CS Professor at SBU |
| Assistant |  |
Hesam Damghanian hdamghanian77@gmail.com |
CS Student at SBU |
| Assistant |  |
Ali Rahimi saeed.ali.rahimi@gmail.com |
CS Student at SBU |