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IBM: R Data Science Capstone Project

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.

R Data Science Capstone Project
4 weeks
1–2 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Feb 27
Ends Jun 30

About this course

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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 or IBM Data Analytics with Excel and R Professional Certificate Programs.

In this capstone project, you will take on the role of a data scientist who has recently joined an organization and is 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.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills:Exploratory Data Analysis, Data Wrangling, Ggplot2, Statistical Hypothesis Testing, Data Analysis, Linear Regression, Data Modeling, Data Science, SQL (Programming Language), R (Programming Language), Preparing Executive Summaries, Data Collection, Presentations

What you'll learn

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

  • Do exploratory data analysis using descriptive statistics, data grouping, data analysis and correlation statistics.

This course is part of Data Analytics and Visualization with Excel and R Professional Certificate Program

Learn more 
Expert instruction
8 skill-building courses
Self-paced
Progress at your own speed
10 months
2 - 3 hours per week

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