Learn more about data science and machine learning
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Learn how to create, customize, and share data visualizations using Matplotlib.
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Machine Learning Engineer Salaries in 2023
Find out how much machine learning engineers make around the world at different career stages. Learn how you can become a top-earning machine learning engineer today.
What is Continuous Learning? Revolutionizing Machine Learning & Adaptability
A primer on continuous learning: an evolution of traditional machine learning that incorporates new data without periodic retraining.
Building Diverse Data Teams with Tracy Daniels, Head of Insights and Analytics at Truist
Tracy and Richie discuss the best way to approach DE & I in data teams and the positive outcomes of implementing DEI correctly.
Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist
Richie speaks to Google's first Chief Decision Scientist and CEO of Data Scientific, Cassie Kozyrkov, covering decision science, data and AI.
Textacy: An Introduction to Text Data Cleaning and Normalization in Python
Discover how Textacy, a Python library, simplifies text data preprocessing for machine learning. Learn about its unique features like character normalization and data masking, and see how it compares to other libraries like NLTK and spaCy.
Visualizing Climate Change Data with ggplot2: A Step-by-Step Tutorial
Learn how to use ggplot2 in R to create compelling visualizations of climate change data. This step-by-step tutorial teaches you to find, analyze, and visualize historical weather data.