Datacamp – Applied Statistics in Python 2024-8

Apr 18, 2025 - 09:10

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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.

What you’ll learn

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!