Applied Statistics in Python

อัปเดตแล้ว 03/2569

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

สร้างบัญชีฟรีของคุณ

หรือ

เมื่อดำเนินการต่อ คุณยอมรับข้อกำหนดการใช้งานของเรา นโยบายความเป็นส่วนตัวของเรา และยอมรับว่าข้อมูลของคุณจะถูกจัดเก็บไว้ในสหรัฐอเมริกา

คำอธิบายแทร็ก

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.

ข้อกำหนดเบื้องต้น

ไม่มีข้อกำหนดเบื้องต้นสำหรับหลักสูตรนี้

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!