Skip to main content

Track

Applied Statistics in Python

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

  • Python
  • Probability & Statistics
  • 16 hr
  • 4,988

Create Your Free Account

Continue with Google
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Training a Team?Try for Business

Track Description

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.

Prerequisites

There are no prerequisites for this track

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.