Analyzing US Census Data in Python
Learn to use the Census API to work with demographic and socioeconomic data.
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🕔 5 Hour(s)

🎓 Intermediate

👨‍🏫 Lee Hachadoorian

Customer Segmentation in Python
Learn how to segment customers in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Karolis Urbonas

Cleaning Data in Python
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Adel Nehme

Case Study: Building Software in Python
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
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🕔 3 Hour(s)

🎓 Advanced

👨‍🏫 Mark Pedigo

Explainable AI in Python
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Fouad Trad

Financial Forecasting in Python
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Victoria Clark

Financial Trading in Python
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Chelsea Yang

ETL and ELT in Python
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Jake Roach

Image Modeling with Keras
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Ariel Rokem

Hyperparameter Tuning in Python
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Alex Scriven

Analyzing Social Media Data in Python
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Alex Hanna

Intermediate Object-Oriented Programming in Python
Build your OOP skills with denoscriptors, multilevel inheritance, and abstract base classes!
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Jake Roach

A/B Testing in Python
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Moe Lotfy, PhD

Feature Engineering for Machine Learning in Python
Create new features to improve the performance of your Machine Learning models.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Robert O'Callaghan

Cleaning Data with PySpark
Learn how to clean data with Apache Spark in Python.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Mike Metzger

HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Hrant Davtyan

Analyzing Marketing Campaigns with pandas
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Jay Rosok

Improving Your Data Visualizations in Python
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Nicholas Strayer

Bayesian Data Analysis in Python
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Michał Oleszak

Foundations of Probability in Python
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
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🕔 5 Hour(s)

🎓 Intermediate

👨‍🏫 Alexander A. Ramírez M.

Analyzing Survey Data in Python
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are denoscriptive and inferential in nature.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 EbunOluwa Andrew