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Course Syllabus

1

Section 1 • R Basics, Functions, and Data Types

2

Section 2 • Vectors and Sorting

3

Section 3 • Indexing, Data Wrangling, and Plots

4

Section 4 • Programming Basics

TrustCourse AI AnalysisAI Generated
Based on public data analysis
•
Updated May 29, 2025
7.4/10
Good

Course Goal

Learn fundamental R programming skills through practical crime data analysis, building foundation for advanced data science concepts

One-Minute Verdict

Solid beginner R foundation with engaging instructor, but overpriced for content depth. Free audit lacks key exercises. Good entry point if budget allows.

PROS

  • Excellent instructor with clear explanations
  • Practical approach using real crime dataset
  • Part of comprehensive data science certificate series
  • Strong foundation for R programming beginners

CONS

  • Significantly overpriced for content depth
  • Limited access in free audit mode
  • Basic level may not challenge experienced programmers

DETAILED AI RATINGS

Content Quality
7.0/10

Covers R fundamentals well with real crime dataset. Four clear sections but lacks depth for the price point charged.

Instructor Delivery
9.0/10

Rafael Irizarry praised consistently for clear, engaging explanations and beginner-friendly approach across reviews.

Platform Experience
8.0/10

EdX platform reliable with browser-based R interface. Certificate access limited but functional for learning.

Value For Money
5.0/10

At $219 for certificate or $150+ recent pricing, significantly overpriced for 12-hour beginner content depth.

Learning Outcome
8.0/10

Students gain solid R foundation for data science. Prepares well for advanced courses in the series.

DECISION GUIDE

Take This Course If

You're new to R and have budget for premium content

Excellent teaching quality justifies cost if you value structured learning with top-tier instruction.

Skip This Course If

You're budget-conscious or have any R experience

Free alternatives like R for Data Science book or CS50R provide similar content at no cost.

SOURCES & REFERENCES

  • https://www.reddit.com/r/Rlanguage/comments/11l7s04/is_the_edx_course_data_science_r_basics_by_rafael/
  • https://medium.datadriveninvestor.com/what-i-learned-from-harvards-data-science-r-basics-course-6a1689f06fbb
  • https://www.reddit.com/r/rstats/comments/mmzyhq/harvard_exd_good_place_to_start_for_beginners/
  • https://thedatastudent.com/harvardx-data-science-r-basics-review/
  • https://www.reddit.com/r/edX/comments/skqght/harvardx_data_science_is_completely_overpriced/
  • https://www.linkedin.com/posts/valeria-ochoa-591622239_harvardx-data-science-r-basics-edx-activity-7283904899556290560-ilpb
  • https://www.reddit.com/r/dataanalysis/comments/186p2jf/best_course_to_learn_r_programming_for_data/
  • https://www.linkedin.com/posts/kiransree-vijayakumar-346603267_harvardx-data-science-r-basics-activity-7174433607468343296-_6QT

About this AI Summary

This summary is generated by AI based on public internet data, including social networks and available articles.

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HomeCoursesData Science & AnalyticsData Science: R Basics

Data Science: R Basics

By edX with Harvard University

Data Science & Analytics

7.4
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Online Course
64 hours
Beginner
Certificate Included
Visit Provider
Write a ReviewWrite a Story
TrustCourse Rating
Verified
B-
TRUST·SCORE
7.4
OUT OF 10
1 verified review
Good
Rating Distribution% of reviews
9-10
0%
8-9
0%
7-8
100%
6-7
0%
0-6
0%

DETAILED RATINGS

Content Quality
7.0
Instructor Delivery
9.0
Platform Experience
8.0
Value For Money
5.0
Learning Outcome
8.0
All reviews are verified by TrustCourse