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HomeCoursesData Science & AnalyticsData Science: Visualization

Data Science: Visualization

By edX with Harvard University

Data Science & Analytics

7.2
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Online Course
36 hours
Intermediate
Certificate Included
Visit Provider
Write a ReviewWrite a Story
TrustCourse Rating
Verified
B-
TRUST·SCORE
7.2
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
8.0
Platform Experience
8.0
Value For Money
6.0
Learning Outcome
7.0
All reviews are verified by TrustCourse

Course Syllabus

1

Section 1 • Data Visualization Principles

2

Section 2 • Introduction to ggplot2

3

Section 3 • Distributions and Data Exploration

4

Section 4 • Case Study: World Health and Economics

5

Section 5 • Case Study: Infectious Disease Trends

6

Section 6 • Advanced ggplot2 Techniques

7

Section 7 • Avoiding Common Visualization Mistakes

8

Section 8 • Final Projects and Assessment

TrustCourse AI AnalysisAI Generated
Based on public data analysis
•
Updated May 29, 2025
7.2/10
Good

Course Goal

Learn data visualization fundamentals using ggplot2 in R through real-world case studies covering world health, economics, and infectious disease trends.

One-Minute Verdict

Solid beginner-friendly introduction to ggplot2 and R visualization, but lacks depth expected from Harvard brand. Good value for portfolio building.

PROS

  • Harvard brand recognition for resume value
  • Practical hands-on experience with ggplot2 and R
  • Real-world case studies in health and economics
  • Part of comprehensive 9-course data science certificate
  • Self-paced learning with flexible schedule

CONS

  • Price has increased significantly over recent years
  • May be too basic for those with programming experience
  • Limited depth compared to expectations from Harvard brand
  • Explanations can be rushed in advanced topics

DETAILED AI RATINGS

Content Quality
7.0/10

Covers essential ggplot2 fundamentals with real case studies, but explanations can be rushed and lack depth for intermediate concepts.

Instructor Delivery
8.0/10

Clear explanations from experienced Harvard professor, though some users report 'here's the code' approach without sufficient context.

Platform Experience
8.0/10

Reliable edX platform with DataCamp integration for hands-on practice. Self-paced learning with lifetime access to materials.

Value For Money
6.0/10

At $149-219 for certificate, pricing has increased significantly. Free audit available but limits access to key exercises and assessments.

Learning Outcome
7.0/10

Students gain practical ggplot2 skills and visualization principles, but may need additional resources for job-ready competency.

DECISION GUIDE

Take This Course If

You're new to data visualization and want structured learning with Harvard credentials

Ideal for beginners needing foundational ggplot2 skills with real-world applications and certificate recognition.

Skip This Course If

You have intermediate R experience or need advanced visualization techniques

The course may feel too basic and overpriced for experienced users seeking advanced data visualization skills.

SOURCES & REFERENCES

  • https://www.edx.org/learn/data-visualization/harvard-university-data-science-visualization
  • https://www.reddit.com/r/edX/comments/skqght/harvardx_data_science_is_completely_overpriced/
  • https://www.linkedin.com/pulse/course-review-data-science-visualization-harvard-casta%C3%B1eda
  • https://www.reddit.com/r/edX/comments/1dwp35b/harvardxs_data_science_professional_certificate/
  • https://thedatastudent.com/harvardx-data-science-visualization-review/
  • https://www.linkedin.com/pulse/my-harvard-edx-data-science-course-experience-sarah-mancinho
  • https://www.reddit.com/r/edX/comments/1cmf7m8/data_science_certcourse_recommendations/
  • https://www.youtube.com/watch?v=BsSonYw-RJI

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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