Deep Learning for Images with PyTorch
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Michał Oleszak

Data Structures and Algorithms in Python
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Miriam Antona

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