The Power of Statistics

# The Power of Statistics

Taught in English

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## Course

Gain insight into a topic and learn the fundamentals

4.8

(541 reviews)

|

99%

Designed for those already in the industry
37 hours (approximately)
Flexible schedule

## What you'll learn

• Explore and summarize a dataset

• Use probability distributions to model data

• Conduct a hypothesis test to identify insights about data

• Perform statistical analyses using PythonÂ

## Details to know

Shareable certificate

Assessments

27 quizzes

## Course

Gain insight into a topic and learn the fundamentals

4.8

(541 reviews)

|

99%

Designed for those already in the industry
37 hours (approximately)
Flexible schedule

# See how employees at top companies are mastering in-demand skills

## Build your Probability and Statistics expertise

This course is part of the Google Advanced Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate from Google

## Earn a career certificate

Share it on social media and in your performance review

## There are 6 modules in this course

Youâ€™ll explore the role of statistics in data science and identify the difference between descriptive and inferential statistics. Youâ€™ll learn how descriptive statistics can help you quickly summarize a dataset and measure the center, spread, and relative position of data.

#### What's included

Youâ€™ll learn the basic rules for calculating probability for single events. Next, youâ€™ll discover how data professionals use methods such as Bayesâ€™ theorem to describe more complex events. Finally, youâ€™ll learn how probability distributions such as the binomial, Poisson, and normal distribution can help you better understand the structure of data.

#### What's included

Data professionals use smaller samples of data to draw conclusions about large datasets. Youâ€™ll learn about the different methods they use to collect and analyze sample data and how they avoid sampling bias. Youâ€™ll also learn how sampling distributions can help you make accurate estimates.

#### What's included

Youâ€™ll explore how data professionals use confidence intervals to describe the uncertainty of their estimates. You'll learn how to construct and interpret confidence intervals â€” and how to avoid some common misinterpretations.

#### What's included

Hypothesis testing helps data professionals determine if the results of a test or experiment are statistically significant or due to chance. Youâ€™ll learn about the basic steps for any hypothesis test and how hypothesis testing can help you draw meaningful conclusions about data.

#### What's included

In this end-of-course project, youâ€™ll use statistical methods such as hypothesis testing to analyze a workplace scenario dataset.

### Instructor

Instructor ratings
4.8 (151 ratings)

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324 Courses10,183,556 learners

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