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IBM - Data Science with R - Capstone Project 

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Data Science with R - Capstone Project
 at 
Coursera 
Overview

Duration

14 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Data Science with R - Capstone Project
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Intermediate Level
  • Approx. 14 hours to complete
  • English Subtitles: English
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Details Icon

Data Science with R - Capstone Project
 at 
Coursera 
Course details

More about this course
  • 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.
  • This course is part of multiple programs
  • This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
  • IBM Data Analytics with Excel and R Professional Certificate
  • Applied Data Science with R Specialization
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Data Science with R - Capstone Project
 at 
Coursera 
Curriculum

Module 1 - Capstone Overview and Data Collection

Check points

Module 2 - Data Wrangling

Check points

Module 3: Performing Exploratory Data Analysis with SQL, Tidyverse & ggplot2

Check points

Module 4: Predictive Analysis

Check points

Module 5 - Building a R Shiny Dashboard App

Check points

Module 6 - Present Your Data-Driven Insights

Elements Of A Successful Data Findings Report

Best Practices For Presenting Your Findings

Final Submission Overview and Instructions

Congratulations and Next Steps

Credits and Acknowledgments

Data Science with R - Capstone Project
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Data Science with R - Capstone Project
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