[PDF] statistics essentials for data science

What are important related concepts in statistics?

Important related concepts in statistics boil down to learning descriptive statistics and data visualization. Often, the data points you've collected from an experiment or a data repository are not pristine. The data may have been subjected to processes or manipulations that damaged its integrity.

Do you need data science stats?

You’ll need far more than intro stats if you’re expected to inform major decisions like public policy or the direction your company takes , but basic stats may be more than enough if your role is deep in the engineering side of data science.

What are the two types of Statistics?

Sally opens her stats textbook and finds that there are two major types of statistics, descriptive and inferential. Descriptive statisticsidentify patterns in the data, but they don't allow for making hypotheses about the data. Within descriptive statistics, there are two measures used to describe the data: central tendencyand deviation.

What is descriptive statistics in Python?

Descriptive statistics summarizes important features of a data set such as: Etc.. It is a good starting point to become familiar with the data. We can use the describe () function in Python to summarize the data: