Coursera Project Network
Using Descriptive Statistics to Analyze Data in R
Coursera Project Network

Using Descriptive Statistics to Analyze Data in R

3,802 already enrolled

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.6

(90 reviews)

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.6

(90 reviews)

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Learn how to calculate descriptive statistical metrics in order to describe a dataset in basic R

  • Create a data quality report file (exported to Excel in CSV format) from a dataset loaded in R

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
No downloads or installation required

Only available on desktop

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

Placeholder

Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
Placeholder

About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load and view a real-world dataset in RStudio (5 min)

  2. Calculate Measure of Frequency metrics (5 min)

  3. Calculate Measure of Central Tendency metrics (6 min)

  4. Calculate Measure of Dispersion metrics (4 min)

  5. Calculate additional data quality metrics (6 min)

  6. Calculate descriptive statistics on all columns (10 min)

  7. Generate a data quality report file (8 min)

Recommended experience

The learner should know how information is stored in rows and columns in a table.

7 project images

Instructor

Dr. Nikunj Maheshwari
Coursera Project Network
2 Courses5,559 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

4.6

90 reviews

  • 5 stars

    65.55%

  • 4 stars

    30%

  • 3 stars

    3.33%

  • 2 stars

    0%

  • 1 star

    1.11%

Showing 3 of 90

SW
4

Reviewed on Jul 18, 2020

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions