IBM
Data Science with R - Capstone Project
IBM

Data Science with R - Capstone Project

This course is part of multiple programs.

Jeff Grossman
Yan Luo

Instructors: Jeff Grossman

Sponsored by Barbados NTI

14,409 already enrolled

Gain insight into a topic and learn the fundamentals.
4.5

(83 reviews)

Intermediate level
Some related experience required
24 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.5

(83 reviews)

Intermediate level
Some related experience required
24 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Write a web scraping program to extract data from an HTML file using HTTP requests and convert the data to a data frame.

  • Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.

  • Interpret datawithexploratory data analysis techniques by calculating descriptive statistics, graphing data, and generating correlation statistics.

  • Build a Shiny app containing a Leaflet map and an interactive dashboard then create a presentation on the project to share with your peers.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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

Placeholder

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • 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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

What's included

2 videos1 assignment3 app items5 plugins

What's included

1 video1 assignment2 app items3 plugins

At this stage of the Capstone Project, you have gained some valuable working knowledge of data collection and data wrangling. You have also learned a lot about SQL querying and visualization. Congratulations! Now it's time to apply some of your new knowledge and learn about Exploratory Data Analysis (EDA) techniques, again through practice. You can use the datasets you wrangled in the previous Module. However, if you had any issues completing the wrangling, no worries - we have prepared some clean datasets for you to use. You will be asked to complete three labs:

What's included

1 video1 assignment3 app items3 plugins

What's included

1 video1 assignment2 app items2 plugins

What's included

1 video1 assignment1 ungraded lab3 plugins

What's included

2 videos3 readings1 peer review5 plugins

Instructors

Instructor ratings
4.5 (24 ratings)
Jeff Grossman
IBM
2 Courses64,048 learners
Yan Luo
IBM
7 Courses321,745 learners

Offered by

IBM

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

4.5

83 reviews

  • 5 stars

    78.57%

  • 4 stars

    9.52%

  • 3 stars

    3.57%

  • 2 stars

    4.76%

  • 1 star

    3.57%

Showing 3 of 83

BT
5

Reviewed on Oct 21, 2023

MP
4

Reviewed on Jun 12, 2024

Recommended if you're interested in Data Science

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