Python for MATLAB Users
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Justin Kiggins

Unsupervised Learning in Python
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Benjamin Wilson

Spoken Language Processing in Python
Learn how to load, transform, and transcribe speech from raw audio files in Python.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Daniel Bourke

Writing Efficient Code with pandas
Learn efficient techniques in pandas to optimize your Python code.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Leonidas Souliotis

Sentiment Analysis in Python
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Violeta Misheva

Introduction to Regression with statsmodels in Python
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Maarten Van den Broeck

Introduction to Data Visualization with Matplotlib
Learn how to create, customize, and share data visualizations using Matplotlib.
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Ariel Rokem

Working with Categorical Data in Python
Learn how to manipulate and visualize categorical data using pandas and seaborn.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Kasey Jones

Exploratory Data Analysis in Python
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 George Boorman,Izzy Weber

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