Data Science Camp

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Data Science Camp

SAT Score Range

•

6 sessions

•

+27

This series ended on July 6, 2022. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

What? Data science is the field of gathering insights from unstructured data by using scientific algorithms. 
How? We will begin to learn about data science, culminating in a walkthrough project with real world applications (binary classification AI). Throughout this course, there will be teacher-led instruction and helpful resources to get you started. 
Who? This is great for anyone looking to explore data science or start their journey in becoming a data scientist! If you want to be an observer, you are welcome, but you are also welcome to participate in some of the non-mandatory exercises. 
Prerequisite? None, but I recommend understanding Python for some of the coding examples in the class.
Pre-installed Software? None. We will use Google Colaboratory so only a Google Account is needed.

Tutored by

Michael V 🇺🇸

Certified in 6 topics

View Profile

I'm excited to be a tutor here!

Schedule

✋ ATTENDANCE POLICY

Each lesson will be consecutive and build on the last one, so try to attend all. However, I will post the code and teaching material of each lesson so if you cannot attend, you could instead read these to be ready for the next class.

SESSION 1

21

Jun

SESSION 1

Orientation

Tue 11:00 PM - Wed, 12:00 AM UTCJun 21, 11:00 PM - Jun 22, 12:00 AM UTC

We will start by briefly introducing ourselves and discussing some real world applications of Data Science that you probably already use everyday (internet browsers)! We'll also talk about the job roles and future of this field, as well as look at the dataset we'll use throughout the course.

SESSION 2

23

Jun

SESSION 2

Computer Science

Thu 11:00 PM - Fri, 12:00 AM UTCJun 23, 11:00 PM - Jun 24, 12:00 AM UTC

We will begin to discuss Data Storage & Collection. We'll look at the different types of data and how to classify them. There will also be instructional material on what a database is and how to query from them. Lastly, we'll go into how data pipelines work and the most common type: Extract, Transform, Load.

SESSION 3

28

Jun

SESSION 3

Computer Science

Tue 11:00 PM - Wed, 12:00 AM UTCJun 28, 11:00 PM - Jun 29, 12:00 AM UTC

In this class, we will look at a fundamental method behind data science: exploratory data analysis. The process will be walked through from data preparation, to visualization. This workflow is the basis for preparing data to be fed to models, and gathering key insights early on.

SESSION 4

29

Jun

SESSION 4

Office Hours

Wed 11:15 PM - 11:55 PM UTCJun 29, 11:15 PM - 11:55 PM UTC

Office Hours. I'll help with the coding especially.

SESSION 5

30

Jun

SESSION 5

Computer Science

Thu 11:00 PM - Fri, 12:00 AM UTCJun 30, 11:00 PM - Jul 1, 12:00 AM UTC

We'll dive into the fun part of data science: experimentation! First we'll look at different statistical measures and types of predictions, like time series forecasting. To make these predictions, we'll need AI models, and so this class will mainly focus on the different categories of AI, and we'll begin to look at how to build one.

SESSION 6

5

Jul

SESSION 6

Computer Science

Tue 11:00 PM - Wed, 12:00 AM UTCJul 5, 11:00 PM - Jul 6, 12:00 AM UTC

Finally, we'll pick off where we left off, learning about different AI models (supervised vs. unsupervised as well as clustering). Then, students will get a complete live walkthrough of the process of creating a binary classification AI model, with code. Everything will have a step by step guide from gathering data, to cleaning the data set, to testing different models. They can then submit their results and see how they did.

Public Discussion

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Jun 21 - Jul 6

3 weeks

40 - 60 mins

/ session

SCHEDULE

Tuesdays

11:00PM

Thursdays

11:00PM