Data Science with R - Capstone Project
Key Takeaways
Applies data science skills and techniques using R for a capstone project in data analytics
Original Description
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.
For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets. You will collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform exploratory data analysis with SQL, Tidyverse and ggplot2, model data with linear regression, create charts and plots to visualize the data, and build an interactive dashboard.
The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
Veri Bilimi ve Bulut Bilişim Sistemi ile Bootcamp Deneyimi
Medium · Data Science
A Reader’s Guide to Humanity Centered Data: Where to Start
Medium · Data Science
SQL Subqueries: A Query Inside a Query (And Why That's Powerful)
Dev.to · Navas Herbert
Source Wars: The Chaos of Ten Conflicting Databases
Dev.to · Jeff Lowery
🎓
Tutor Explanation
DeepCamp AI