Data Demo: Git and How to Use It

Data Science Demo

Ready to learn some more fundamental data science skills you can utilize on your journey to becoming a data scientist or data engineer? Watch this step-by-step data science demo about Git and how to use it! Git is a version control system; it provides a set of tools to track the evolution of source code. It […]

Data Demo – Using SQL in Python

sql database

Take your learning on the go during a practical data science demo with instructor Rich Ott. Often, the data we need is in a relational database that we can access with SQL. While it’s possible to use a separate utility to connect to the database and save the data to a file, we’ll want to […]

Data Demo – Python Optimization

man holding note for python

Take your learning on the go during a practical data science demo with instructor Ana Hocevar who will demonstrate optimization in Python. You’ll learn how to use Python’s SciPy library to find an optimum when we have a quantity we want to maximize (such as revenue) or minimize (some cost, an error rate, etc) while subject […]

GNU Make

gnu make

Learn some basics about GNU Make, which is a tool that controls the generation of executables and other non-source files of a program from the program’s source files. Make gets its knowledge of how to build your program from a file called the makefile, which lists each of the non-source files and how to compute […]

Github’s REST API

api webinar

We’re back again with a new data demo to teach you some fundamental skills you can utilize on your journey as a data scientist (or data engineer). Maybe you’ve heard the term Web APIs in your research, but for those just starting out, Web APIs are a way of communicating and obtaining data from web-based […]

Linear Regression

linear regression

Linear regression is a commonly used technique, and parts of it are often justified by heuristics. In this video, we discuss the assumptions behind linear regression, and we show how it can be derived from statistical principles. We focus on the use of mean squared error as the error metric and regularization terms, showing how […]

Building Practical Pipelines


Do you constantly hear the word “Pipeline” inside the data world? Well here is a chance to get a basic understanding of what a pipeline is and how to implement one to fit data your needs. Watch our instant replay where TDI instructor Nicholas Dela Fuente breaks down the fundamentals of a data pipeline. He’ll […]

Visualizing Geospatial Data in Python


Been itching to pick up a new data science skill? Here’s another chance from TDI’s best and brightest! Watch our on-demand practical data science demo with instructor Ana Hocevar who demonstrated how to visualize geospatial data in Python. She used Python’s Altair library and showed off how to plot maps overlaid with spatial data in […]

Creating a web API


Have you ever wanted to learn how to create a web API? Now’s your chance to learn from the best at TDI and pick up a new data science skill! Watch our Data Science Demo Replay, where Don Fox teaches aspiring data scientists how to create a web API using Flask. In addition, you’ll learn […]