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This one day course introduces basic statistical concepts used in Data Science with Python. It is more "how do I use this concept in Python" than "what is this concept".
12 Απρ 2018 · why python for data analysis? • Python can be run in a variety of environments with various tools • From the command line (most Mac’s have Python installed by default)
5 Μαρ 2024 · Dive into the world of statistical analysis with Python. Explore five key methods used by data science professionals. Learn how to understand your data and communicate insights effectively...
•New chapter introducing statsmodels, a package that facilitates statistical analysis of data. statsmodels includes regression analysis, Generalized Linear Models (GLM) and time-series analysis using ARIMA models.
In this step-by-step tutorial, you'll learn the fundamentals of descriptive statistics and how to calculate them in Python. You'll find out how to describe, summarize, and represent your data visually using NumPy, SciPy, pandas, Matplotlib, and the built-in Python statistics library.
Python is increasingly the most popular choice of programming language for data analysts because it is designed to be simple, efficient, and easy to read and write.
Plotly Python Open Source Graphing Library Statistical Charts. Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make statistical charts such as box plots, histograms, and distribution plots.
