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HomeCoursesData Science & AnalyticsStatistics and R

Statistics and R

By edX with Harvard University

Data Science & Analytics

6.8
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Online Course
12 hours
Intermediate
Certificate Included
Visit Provider
Write a ReviewWrite a Story
TrustCourse Rating
Verified
C+
TRUST·SCORE
6.8
OUT OF 10
1 verified review
Good
Rating Distribution% of reviews
9-10
0%
8-9
0%
7-8
0%
6-7
100%
0-6
0%

DETAILED RATINGS

Content Quality
7.0
Instructor Delivery
6.0
Platform Experience
8.0
Value For Money
7.0
Learning Outcome
6.0
All reviews are verified by TrustCourse

Course Syllabus

1

Module 1 • Random Variables and Distributions

2

Module 2 • Statistical Inference and P-values

3

Module 3 • Confidence Intervals

4

Module 4 • Exploratory Data Analysis

5

Module 5 • Non-parametric Statistics

6

Module 6 • Robust Statistical Techniques

7

Module 7 • Reproducible Research with R

TrustCourse AI AnalysisAI Generated
Based on public data analysis
•
Updated May 29, 2025
6.8/10
Good

Course Goal

Learn basic statistical concepts and R programming skills for analyzing data in life sciences, including p-values, confidence intervals, and exploratory data analysis.

One-Minute Verdict

Solid statistical foundation with R programming, but mixed reviews on explanation quality. Good for life sciences applications, though some find it challenging without strong math background.

PROS

  • Harvard University credential and faculty
  • Integration of statistical concepts with R programming
  • Part of comprehensive data science professional certificate
  • Self-paced learning with lifetime access

CONS

  • Requires strong mathematical background
  • Mixed reviews on explanation quality
  • Limited recent student feedback available
  • May feel theoretical without sufficient practical application

DETAILED AI RATINGS

Content Quality
7.0/10

Covers essential statistical concepts with R integration. Mixed feedback on explanation clarity, especially in advanced sections.

Instructor Delivery
6.0/10

Harvard faculty quality but limited specific instructor feedback. Some users report frustrating explanations in later parts.

Platform Experience
8.0/10

Reliable edX platform with standard video lectures and assessments. Self-paced learning with good technical stability.

Value For Money
7.0/10

At $219 for verified certificate, reasonable for Harvard brand. Part of larger professional certificate series.

Learning Outcome
6.0/10

Builds statistical foundation but some students feel unprepared for advanced work. Requires strong math background for full benefit.

DECISION GUIDE

Take This Course If

You have solid math background and want statistical foundation for life sciences

Best suited for students with mathematical preparation who need statistical concepts integrated with R programming for biological data analysis.

Skip This Course If

You lack strong math background or want practical R programming focus

Students without statistical prerequisites may struggle. Those seeking pure R programming skills might prefer the R Basics course instead.

SOURCES & REFERENCES

  • https://www.edx.org/learn/r-programming/harvard-university-statistics-and-r
  • https://www.reddit.com/r/edX/comments/1dwp35b/harvardxs_data_science_professional_certificate/
  • https://www.reddit.com/r/labrats/comments/3yukqh/any_good_tips_for_learning_bioinformatics_from/
  • https://www.reddit.com/r/rstats/comments/mmzyhq/harvard_exd_good_place_to_start_for_beginners/
  • https://pll.harvard.edu/course/statistics-and-r
  • https://erez.weizmann.ac.il/pls/htmldb/f?p=186%3A30%3A%3A%3ANO%3A%3Apid%2Cpprev%3A13755%2C0

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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