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5 years ago 3 years ago

Data Visualization and Descriptive Statistics with Python 3

by Liki 5 years ago3 years ago

540views

For those of you interested in learning how to leverage the power of Python Seaborn and Matplotlib libraries to build high-quality professional visualizations that answer many relevant Data Science questions, my new course entitled Data Visualization and Descriptive Statistics with Python 3 is the solution. The course uses a set of real-world data sources from the United Nations, sport, government to showcase the visualizations. In addition to data visualizations, the second part of the course is focused on how to effectively analyze and compute Descriptive Statistics in Python 3.
It shows how to leverage each of the libraries numpy, statistics, scipy and pandas to effectively compute descriptive statistics in Python.

You can start today by registering to the course today: Register to the course for just $9.99

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Posted by Liki

I have over twenty years of work experience in the field of statistics as an Applied Statistician and a Data Scientist. For the last twelve years, I have also been teaching undergraduate college level statistics courses at St Petersburg College. As a Data scientist, I have developed over the years a strong interest in computational statistics. I am also interested in teaching data sciences techniques to students and those interested in using data sciences techniques in their respective fields. My programming languages of choice are Python and R. I am also interested in Spark, Databricks, PySpark.