Introduction to Deep Learning with PyTorch Learn how to build your first neural network, adjust hyperparameters, and tackle classification a...
PostgreSQL Summary Stats and Window Functions Learn how to create queries for analytics and data engineering with window functions, the SQL sec...
Database Design Learn to design databases in SQL to process, store, and organize data in a more efficient way.
Introduction to Relational Databases in SQL Learn how to create one of the most efficient ways of storing data - relational databases!
Object-Oriented Programming in Python Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and op...
Intermediate Git Discover branches and remote repos for version control in collaborative software and data project...
Hypothesis Testing in Python Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square ...
Sampling in Python Learn to draw conclusions from limited data using Python and statistics. This course covers every...
Introduction to Docker Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Le...
MLOps Concepts Discover how MLOps can take machine learning models from local notebooks to functioning models in...
Introduction to Shell The Unix command line helps users combine existing programs in new ways, automate repetitive task...
Intermediate Deep Learning with PyTorch Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for model...
Machine Learning with scikit-learn Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
ETL in Python Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load d...
Introduction to Version Control with Git This course is an introduction to version control with Git for data scientists.
CI/CD for Machine Learning Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Hierarchical and Mixed Effects Models in R In this course you will learn to fit hierarchical models with random effects.
Data Processing in Shell Learn powerful command-line skills to download, process, and transform data, including machine l...
Introduction to Julia Julia is a new programming language designed to be the ideal language for scientific computing, m...
Data Types and Exceptions in Java Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exception...
Monitoring Machine Learning in Python This course covers everything you need to know to build a basic machine learning monitoring syste...
Introduction to DataLab Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and explor...
Time Series Analysis in PostgreSQL Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques...
Data Manipulation in Julia Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group...