PostgreSQL Summary Stats and Window Functions
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
4 h
Machine Learning for Everyone
An introduction to machine learning with no coding involved.
2 h
Data Engineering for Everyone
Learn how data engineers lay the groundwork for data science to be possible. There is no coding required!
2 h
Introduction to Snowflake
This course will guide you through Snowflake's core architecture and advanced SnowSQL techniques.
3 h
Introduction to Docker
Learn about Docker and its usefulness in the data professional's toolkit. Discover Docker containers, images, and more.
4 h
MLOps Concepts
Discover how MLOps helps transform machine learning models from local notebooks to operational models that add actual company value.
2 h
Communicating Data Insights
Data-driven enterprises rely on insights to motivate action and drive change.
2 h
Data Visualization in Excel
Learn how to use Excel to construct a variety of visualizations for various data layouts, making sure to apply best practices while building dashboards.
3 h
Case Study: Analyzing Customer Churn in Power BI
You will use Power BI to study a dataset from a hypothetical company named Databel and determine why consumers are leaving.
3 h
Understanding Prompt Engineering
Master ChatGPT for Business and Creativity: Discover prompt engineering, zero to few-shot learning, and response evaluation.
1 h
Understanding Data Engineering
Discover how data engineers lay the framework for data science. No coding required!
2 h
Joining Data in SQL
Improve your SQL expertise by learning to join tables, apply relational set theory, and work with subqueries.
4 h
Understanding Data Science
An introduction to data science with no coding involved.
2 h
Understanding Machine Learning
An introduction to machine learning with no coding involved.
2 h
Introduction to DAX in Power BI
Learn the essentials of Data Analysis Expressions (DAX), such as calculated columns, tables, and measurements, to expand your Power BI understanding.
2 h
Subjects
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