Introduction to Data Science in R with Ezgi Karaesmen at the 2019 Women in Analytics Conference.

Learn the fundamentals of data science using Python, covering essential concepts, tools, and techniques for effective data analysis.

Learn the core concepts of data science, including data manipulation, analysis, and visualization, using Python.

A beginner-friendly introduction to data science concepts using Python, focusing on data manipulation, analysis, and visualization techniques.

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Create interactive data visualizations in Python using Plotly.

Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Explore how Decentralized Finance (DeFi) is revolutionizing financial systems with peer-to-peer interactions and smart contracts in this beginner-friendly course.

This course teaches you to develop and deploy fully functional AWS Lambda functions in the language you know and love.

Set yourself above other front-end engineers by learning the core concepts and rules needed to architect and build any accessible custom component with ARIA, in order to provide inclusive experiences for all users.

Get started with DevOps principles and practices. Learn how to improve collaboration, automate workflows, and enhance software development life cycle management.