Technologies / Programming

Advanced statistical analysis in Python

Intensive training focusing on the practical application of statistical methods in data analysis using the Python language. Participants will learn basic and intermediate statistical concepts, how to implement them in Python, and how to interpret the results. The training combines statistical theory with programming practice, enabling participants to gain the skills necessary to conduct advanced statistical analysis in data science projects.

Issues

Implementation of statistical methods in Python
Advanced data analysis techniques using statistics
Visualization of statistical data
Hypothesis testing and statistical inference
Statistical modeling
Time series analysis
Bayesian statistics and its applications
Monte Carlo simulations in statistical analysis
Advanced regression methods
Multivariate analysis

Benefits

In-depth knowledge of statistics and its applications in data analysis
Ability to implement statistical methods in Python
Ability to independently conduct advanced statistical analysis
Ability to interpret the results of statistical analyses
Practical experience working with real data
Knowledge of best practices for statistical analysis in data science projects

Who is this training for?

Python programmers looking to expand their knowledge of statistical analysis

Data scientists and data analysts

Scientists and researchers who use statistical methods in their work

People with basic knowledge of Python who want to learn statistics in the context of data analysis

Prerequisites

Ability to use Python freely to at least a basic degree
Minimal knowledge of numpy and pandas libraries
Basic knowledge of mathematics, including mathematical analysis
Basic knowledge of statistics is welcome

Training program

Descriptive statistics and statistical data visualization
Probability calculus and probability distributions

Statistical hypothesis testing

Linear and non-linear regression

Bayesian statistics

Advanced statistical data visualization techniques
Practical workshop: analysis of real data sets

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Advanced statistical analysis in Python we recommend: Ability to use Python freely to at least a basic degree; Minimal knowledge of numpy and pandas libraries; Basic knowledge of mathematics, including mathematical analysis.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Python programmers looking to expand their knowledge of statistical analysis; Data scientists and data analysts; Scientists and researchers who use statistical methods in their work.