This repository contains all notebooks and materials for each GDD Training Taster.
If you need to use one of these tasters, clone the repository and switch to the correct branch (see below).
If you are creating a new course, please add it as a new branch to this repo and add it to the list below.
Each taster is run for our public courses. To access the material for the course you can go to the branch corresponding to the taster. Here is a breakdown of the branch names:
Branch Name | Taster Name | Timing | Description |
---|---|---|---|
pfda | Python for Data Analysts | 2 hr | Public: Covers Python Essentials and Pandas with some visualisations to demonstrate the power of Python |
dswp | Data Science with Python | 2hr | Public: An introduction to Machine Learning followed by a demo of using sci-kit learn on the penguins dataset |
adwsp | Advanced Data Science with Python | 2hr | Public: An introduction to all topics covered in the ADWSP course followed by demo of feature engineering |
pandas | Pandas | 40m | Marysia Winkels |
anomaly-detection-in-time-series | Anomaly Detection in Time Series | 2hr | Public data science taster |
deep-learning | Deep Learning | 1hr | Public deep learning webinar |
seasonality-modelling | Seasonality Modeling from Scratch | 2.5hrs | PyData AMS Code Breakfast - https://youtu.be/omEVdUS14SU |
neural-network-vulnerabilities | Vulnerabilities of Neural Networks: Find, Defend, & Prevent | 2.5hrs | Vadim Nelidov |
databricks-gcp | Machine Learning with Databricks in GCP | 2hr | An intro to Databricks in GCP and following an e2e machine learning example |
To add a new taster session, create a new branch (eg. pfda) and add all the files you need there. You can branch off from taster-template
to see what kind of files you need and delete all files/folders that you don't need. Each branch will need a requirements.txt
file if connecting to binder (see below).
Once you have finished push the branch to GitHub but don't merge into master. Each branch is its own taster. Instead on the master branch add the information of your taster to the table above.
Each course can correspond to a Binder link (redirected with rebrandley) to allow participants to use jupyter notebooks during the training.
To create a binder link for a taster, make sure you have a requirements.txt
file with all the packages needed for the taster. Then visit Binder, paste the URL of this repo and include the name of the branch when creating:
Please reach out to the data science training team - Lucy Sheppard, James Hayward, Marysia Winkels, Hertbert van Leeuwen - if you have any questions.