Python - Introduction to Statistical Analysis

PYTHON_STAT
Duration 5 days
50 ITK points
4 terms
Praha (26 500 Kč)

Brno (26 500 Kč)

Bratislava (1 150 €)
Intermediate

The training provides the necessary introduction to the issue of machine learning in the Python programming language. During five days we will take over the issue of machine learning in practical cases with and without a teacher (supervised and unsupervised learning). The course takes the form of live coding and is therefore extremely intensive. We recommend the candidate to take the previous courses PYTHON_DATAAN and PYTHON_STATS. The course is intended primarily for mathematical statisticians, data analysts and anyone who wants to use the Python programming language to gain a basic statistical view of the data studied and thus be able to better understand and gain additional added value for their projects.

Knowledge of Python programming at the PYTHON_INTRO course level

Expert explanation with practical examples, exercises on computers.

Online presentation of the subject matter and exercises.

Introduction
Understanding descriptive statistics
Types of measurements
Population and sampling
Outliers
Selection of Python statistics modules
We start with Python statistics modules
Calculation of descriptive statistics
Calculation of central variance
Calculation of variability
Summary of descriptive statistics
Calculation of correlation between data pairs
Working with 2D data
DataFrame
Data visualization
Box charts
Histograms
Pie charts
Bar charts
X-Y charts
Heat Maps maps
Conclusion

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Python - Introduction to Statistical Analysis

GOPAS Praha

GOPAS Brno

GOPAS Bratislava

Business details

Python - Introduction to Statistical Analysis

Previous courses

GOPAS Praha

GOPAS Brno

GOPAS Bratislava

Business details