Data Science Fundamentals

Online

Learn the foundations of Data Science with this course that includes:

Explanatory short videos of around 5 minutes each.
Mental maps in text to learn more effectively.
Hands-on exercises and a project to learn by doing.
Peer feedback and a Community to learn in good company.

We have launched this online course to advance in our mission to make Artificial Intelligence more accessible while building social impact projects, what we call our #AI4All #AI4Good vision.

Completing this course is a solid step in your analytics career and can help you to enroll in our flagship program: AI Saturdays, the leading social AI bootcamp.

Access to the course is free, but we have decided to add a donation option if you want to support the community :) If not, just enter a '0' and continue with the registration.

Tickets

By the power of Tito

Additional Information

Lay the grounds to kick start your Data Science superpowers.

Practical exercises: Each module includes exercises that, in addition to summarizing the key concepts of each module, will guide you through the activities proposed in the lessons of that module.
Community: The program includes private forums where you can ask your questions and schedule, getting in touch with mentors and other peers.

Week 1 - Intro to DS & Maths

Find your buddy
Part 1 (15 min)
Key differences between DS and AI
From data to big data
The data life cycle
Part 2 (10 min)
Mean, Median, Mode, Std, Variance
Anscombe's quartet + Accuracy vs Precision
Basics of unconditional probability
Assignment Week 1: Intro to DS & Maths
Review work done by your peers
Week 1 - Solution
Additional resources and bibliography

Week 2 - Data Cleaning & Maths

Part 1 (5 min)
Types of data and main problems
Missing valuesOutliers
Part 2 (5 min)
Probability distributions (focus on gaussian)
Population vs Sample.
Central limit theorem.
Feature Scaling, Normalitzation vs Standardization
Assignment Week 2: Data Cleaning & Maths
Review work done by your peers
Week 2 - Solution
Additional resources and bibliography

Week 3 - Important concepts & Visualization

Part 1 (3 min)
Normality and Homoscedasticity
Correlation maps
Basics of linear regression
Part 2 (8 min)
Why dataviz is important
Types of visualizations
Bad and good practices on dataviz
Assignment 3
Review work done by your peers
Week 3 - Solution
Additional resources and bibliography

Week 4 - Real DS example

Solving a problem with Data Science
Assignment
Review work done by your peers
Week 4 - Solution

(Optional) Create a short project

About your Project
Submit your Code / notebook here
Submit your Videorecording here
Submit you Deployment here
Demoing using Gradio
Deploying using Streamlit

About Saturdays.AI

Saturdays.AI is a non-profit association, a community and global movement, committed to promoting education in Artificial Intelligence through quality content and with the rigor of the best universities. A way to make this technology accessible to everyone through the development of projects with social impact. Saturdays.AI is currently active in +30 cities around the world.

team@saturdays.ai