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Data Science•DS Statistics

Data Science - Intro to Statistics

Flash cards

Review the key moves

1/4
Core idea

What is the main idea behind Data Science - Intro to Statistics?

Lesson checks

Practice each idea before moving on

Short Mimo-style checks built from this lesson's code, terms, and sequence.

1Quick choice

Which statement best captures the main point of this lesson?

2Fill blank

Complete the missing token from the example code.

___ (full_health_data.describe())
3Order

Put the learning moves in the order that makes the concept easiest to apply.

Statistics is the science of analyzing data.
Descriptive Statistics
Introduction to Statistics
4Data move

Before charting or modeling a dataset, which move should come first?

Introduction to Statistics

Statistics is the science of analyzing data.

When we have created a model for prediction, we must assess the prediction's reliability.

After all, what is a prediction worth, if we cannot rely on it?

Descriptive Statistics

We will first cover some basic descriptive statistics.

Descriptive statistics summarizes important features of a data set such as:

  • Count
  • Sum
  • Standard Deviation
  • Percentile
  • Average
  • 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:

Example

print (full_health_data.describe())

Output

Do you see anything interesting here?

Next

Data Science - Statistics Percentiles