Biomedical Image Analysis in Python
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Stephen Bailey

Generalized Linear Models in Python
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
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🕔 5 Hour(s)

🎓 Advanced

👨‍🏫 Ita Cirovic Donev

Analyzing IoT Data in Python
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Matthias Voppichler

GARCH Models in Python
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Chelsea Yang

Intermediate Importing Data in Python
Improve your Python data importing skills and learn to work with web and API data.
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🕔 2 Hour(s)

🎓 Beginner

👨‍🏫 Hugo Bowne-Anderson

Bond Valuation and Analysis in Python
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Joshua Mayhew

Developing Python Packages
Learn to create your own Python packages to make your code easier to use and share with others.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 James Fulton

Importing and Managing Financial Data in Python
In this course, you'll learn how to import and manage financial data in Python using various tools and sources.
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🕔 5 Hour(s)

🎓 Intermediate

👨‍🏫 Stefan Jansen

Data Manipulation with pandas
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Maggie Matsui,Richie Cotton

Designing Machine Learning Workflows in Python
Learn to build pipelines that stand the test of time.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Christoforos Anagnostopoulos

Image Processing in Python
Learn to process, transform, and manipulate images at your will.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Rebeca Gonzalez

Hypothesis Testing in Python
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 James Chapman

Data Privacy and Anonymization in Python
Learn to process sensitive information with privacy-preserving techniques.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Rebeca Gonzalez

Cluster Analysis in Python
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Shaumik Daityari

Foundations of Inference in Python
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Paul Savala

Intermediate Predictive Analytics in Python
Learn how to prepare and organize your data for predictive analytics.
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Nele Verbiest

Experimental Design in Python
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 James Chapman

Data Types in Python
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Jason Myers

Analyzing Police Activity with pandas
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Kevin Markham

Ensemble Methods in Python
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Román de las Heras

Building Recommendation Engines in Python
Learn to build recommendation engines in Python using machine learning techniques.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Robert O'Callaghan