What you will learn in Data Analysis with R Programming Course
Discuss the importance of organizing your data before analysis by using sorts and filters.
Convert and format data for analysis.
- Apply functions and syntax to create SQL queries to combine data from multiple database tables.
- Use functions to conduct basic calculations on data in spreadsheets.
Program Overview
Organize Data for More Effective Analysis
⏳ 5 hours
Learn the importance of organizing data through sorting and filtering in both spreadsheets and SQL.
Format and Adjust Data
⏳ 4 hours
Explore converting and formatting data, including combining data using SQL queries.
Aggregate Data for Analysis
⏳ 8 hours
Understand functions, procedures, and syntax involved in combining or aggregating data from multiple sources.
Get certificate
Job Outlook
- Proficiency in data analysis is crucial for roles such as Data Analyst, Business Analyst, and Data Scientist.
- Skills acquired in this course are applicable across various industries, including technology, healthcare, finance, and more.
- Completing this course can enhance your qualifications for entry-level data analytics positions.
Specification: Data Analysis with R Programming
|
FAQs
- Consists of 5 modules in total.
- Coursera recommends a pace of 3 weeks at about 10 hours per week, totaling ~30 hours.
- Some listings state 33 hours, aligning with the 3-week guideline
- Designed to be self-paced, letting you progress at your own convenience.
- This is a beginner-level course—no prior R or coding experience is required.
- It’s part of the Google Data Analytics Professional Certificate, so it’s designed for learners starting their data journey.
You will:
- Get acquainted with R and RStudio, including variables, data types, functions, vectors, and pipes.
- Manipulate, clean, analyze, and visualize data using Tidyverse and ggplot2.
- Create reports using R Markdown for structured, reproducible outputs.
- Complete 36–37 quizzes and 1–2 hands-on assignments to reinforce learning.
Strengths:
- Extremely well-received with a 4.8/5 rating from over 11,000 learners.
- Part of a professionally curated certificate program, grounded in real-world business analytics needs.
Limitations:
- Focuses strictly on R—not broader data science or machine learning tools like Python or advanced R packages.
- Provides fundamental coverage—does not dive into deeper statistical modeling or domain-specific analytics.
- Perfect for aspiring data analysts, students, or professionals transitioning to data roles who want a solid foundation in R.
- Builds valuable skills in data cleaning, visualization, and reporting—common needs across analytics roles.
- Completion earns a shareable Google-backed certificate—great for resumes, LinkedIn, or professional portfolios.
