Applied Statistics in Python

अद्यतन 03/2026

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

अपना निःशुल्क खाता बनाएँ

या

जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।

ट्रैक विवरण

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.

आवश्यक शर्तें

इस ट्रैक के लिए कोई पूर्व शर्त नहीं है।

Course
1
Experimental Design in Python
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Course
2
A/B Testing in Python
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.
Course
3
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.
Course
4
Bayesian Data Analysis in Python
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!