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Enrichment • Series

Data Science Camp

Michael V

Series Details

Sessions

Public Discussion

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.

Series Details

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.

Tutor Qualifications

Over the span of my computer science career, I’ve amassed 22 tech certifications in a wide range of different parts of the field. Several of these certifications are for Data Science with certified skills in Python, R, Pandas, SQL, Data Science, Machine Learning, Traditional Face Detection, etc. Apart from this, I’ve applied Data Science in my career, getting insights from consumer data. Nevertheless, I still remember the first days when I started out and how difficult it was to find resources, so I’m happy to welcome any students who are interested in the most attractive job of the 21st century!

✋ 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.

Dates

June 21 - July 6

Learners

30 / 30

Total Sessions

6

About the Tutor

I'm excited to be a tutor here!

View Michael V's Profile

Upcoming Sessions

0

Past Sessions

6
21
Jun

Session 1

Orientation

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.
23
Jun

Session 2

Computer Science

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.
28
Jun

Session 3

Computer Science

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.
29
Jun

Session 4

Office Hours

Office Hours. I'll help with the coding especially.
30
Jun

Session 5

Computer Science

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.
5
Jul

Session 6

Computer Science

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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