Fraud Detection in Python
Learn how to detect fraud using Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Charlotte Werger

Intermediate Python for Finance
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Kennedy Behrman

Intermediate Python for Developers
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
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🕔 2 Hour(s)

🎓 Beginner

👨‍🏫 George Boorman

Intermediate Deep Learning with PyTorch
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Michał Oleszak

Dealing with Missing Data in Python
Learn how to identify, analyze, remove and impute missing data in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Suraj Donthi

Dimensionality Reduction in Python
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Jeroen Boeye

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