In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate.
Data Science with R - Capstone Project
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Data Science with R - Capstone Project
This course is part of multiple programs.
Instructors: Jeff Grossman +1 more
16,552 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(100 reviews)
Intermediate level
Some related experience required
2 weeks to complete
at 10 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.
Skills you'll gain
- Category: Data Visualization
- Category: Dashboard
- Category: SQL
- Category: Tidyverse (R Package)
- Category: Data Collection
- Category: Data Presentation
- Category: Web Scraping
- Category: Exploratory Data Analysis
- Category: Data Wrangling
- Category: Ggplot2
- Category: Data Transformation
- Category: Data Cleansing
- Category: R Programming
- Category: Predictive Modeling
- Category: Statistical Modeling
- Category: Regression Analysis
- Category: Data Manipulation
- Category: Data Science
- Category: Data Analysis
- Category: Shiny (R Package)
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Build your subject-matter expertise
This course is available as part of
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- 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
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
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Instructors
Instructor ratings
4.5 (31 ratings)Jeff Grossman
IBM
3 Courses644,860 learners
Yan Luo
IBM
7 Courses367,437 learners
Offered by
IBM
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