Basic Python
A workshop on learning the basic concepts of python, with an eye towards becoming a data scientist.
Our workshops can be taken standalone, separately from each other. But, if you are new to the subject, they are best taken one after the other, in a sequence. You can take all the workshops in a sequence, or jump in-between sequences. Totally your choice.
Here is the current schedule for ALL our workshops:
For reference, here is a page with the sequences listed separately.
Business Communication
Learn about the importance of clear communication and writing in advancing your career
Pandas for Data Science
A workshop on powering up your data science journey with Pandas
LinkedIn Profiles
Creating a good, relevant, well-chalked-out profile
Regression
A workshop on Linear Regression, which is behind a lots of predictive and explanatory models of how the world works.
Resumes and Cover Letters
Get your foot in the door with a well crafted Resume and Cover Letter
Command Line Basics
Learn the Operating system command line for efficient working habits, and install a basic python environment
Real World Classification
This workshop will teach you to classify: for example, will a customer churn, or is this mushroom poisonous? Yes? Or No?
Public Speaking 101
How to get confident at giving talks and presentations
The Basic Concepts of Machine Learning
The basic concepts of validation, hyper-parameters, over-fitting and regularization are introduced in the context of polynomial regression.
Art of the Elevator Pitch
Make sure you are able to pitch your ideas at a moment’s notice
Easy Projects with Python Environments
A workshop on installing python with conda and using multiple environments for isolation and reproducibility
Feature Processing
Processing your data into the ideal shape for machine learning models
Interview Preparation
Perpare for interviews and discussion panels so that you can ace them
Visualization Basics
A workshop on the principles of visualization with hands-on experience using matplotlib
Unsupervised Learning
Learn to find structure in unlabeled data by dimensionality reduction and clustering
Trees and Ensembles
Learn more about high performance tree based model ensembles such as Random Forests and Boosting.
Version Control with Git and Github
Git and Github are key skills every data scientist and developer should know. We teach you the basics
Projects and Portfolios with Github Pages
A workshop on using github pages to host your blog posts and project portfolios.
Visualization For Communication
A workshop using visualization to communicate data science results with stakeholders