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

Anomaly Detection in Python
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Bex Tuychiyev

Deep Reinforcement Learning in Python
Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Timothée Carayol

Building Chatbots in Python
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Alan Nichol

Analyzing Financial Statements in Python
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Rohan Chatterjee

Credit Risk Modeling in Python
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Michael Crabtree

Intermediate Network Analysis in Python
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Eric Ma