A warm welcome!
In #30DaysOfDataScience we will go from understanding the Python language to working with real life data and finally creating Machine Learning models both on Azure and in Python. The main role is understanding our data and using the knowledge to make decisions such as fraud detection, customer segmentation and product pricing.
The program journey
The program is set to start on the 17th of October, to participate, you need to register as part of the program. other co-learners are waiting for you.
Part of your learning resources is a carefully curated Microsoft Learn on Python, Azure aiming to teach you practical Data Science and machine learning in 30 Days. Build classification model, regression model, and unsupervised machine learning models by going through these learning paths. They serve as added resources to complement the live sessions.
If you are a beginner, this cloud skill challenge will help you learn the fundamentals and get the best from this learning adventure.
Click the link to the Cloud Skills Challenge modules and start learning now.
We will hold discussions on GitHub and over the 30-day period we will host live sessions to help you navigate your journey. Register and join us for this epic adventure.
The 30 Day Curriculum and Live Sessions
The 30 Day Curriculum is divided into 4 parts:
- Week 1: Getting Started with Python
- Week 2: Data Preparation and Visualization
- Week 3: Getting started with Machine Learning with 2 guided projects
- Week 4: Building you Data Science projects
Each week we will have 2 live events as follows:
| Date | Time | Session Title | RSVP | Live Link |
|---|---|---|---|---|
| 18 Oct. | 1pm GMT | Setting up your Local Python Environment | RSVP | LIVE |
| 20 Oct. | 1pm GMT | Create your first program with Python | RSVP | LIVE |
| 25 Oct. | 1pm GMT | Data Wrangling and Manipulation | RSVP | LIVE |
| 27 Oct. | 1pm GMT | Data Visualization | RSVP | LIVE |
| 1 Nov. | 4pm GMT | Build a product pricing model - regression | RSVP | LIVE |
| 3 Nov. | 1pm GMT | Build a fraud detecting model - classification | RSVP | LIVE |
| 8 Nov. | 1pm GMT | Build a customer segmentation model - clustering | RSVP | LIVE |
| 10 Nov. | 1pm GMT | Curate your Data Science Portfolio | RSVP | LIVE |
What to expect after 30 days
- Successfully build 3 end to end Data Science projects i.e. fraud detection model, customer segmentation and product pricing model.
- Badge of completion to be posted on LinkedIn
Next Steps
Register for the Program set to kick off on the 17th October to 17th November 2022.
See you at the finish line!