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Applied Statistics in Python

Dive into the world of Python-based statistical analysis with this comprehensive track designed to equip you with the essential skills to make data-driven decisions. With its user-friendly syntax and robust libraries, Python has become a favorite tool for data scientists and statisticians. Whether it’s improving business strategies with A/B testing, drawing conclusions from companies' data, or developing probabilistic models in Bayesian frameworks, you will be well-prepared to tackle challenges in any industry. Start this track today to elevate your capabilities and become a critical contributor to any data-centric team.

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1
Python
Experimental Design in Python

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

4 hours

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James Chapman

Curriculum Manager, DataCamp

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