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Course Syllabus

1

Course 1 - Introduction to Data Analytics

2

Course 2 - Excel Basics for Data Analysis

3

Course 3 - Data Visualization and Dashboards with Excel and Cognos

4

Course 4 - Assessment for Data Analysis and Visualization Foundations

TrustCourse AI AnalysisAI Generated
Based on public data analysis
•
Updated May 27, 2025
7.4/10
Good

Course Goal

Build foundational data analysis and visualization skills using Excel and IBM Cognos Analytics to create interactive dashboards and communicate data insights effectively.

One-Minute Verdict

Solid foundation for Excel-based data analysis beginners, but requires additional projects and modern tools training for job readiness.

PROS

  • Beginner-friendly with no prerequisites required
  • Hands-on Excel projects build practical portfolio
  • ACE credit recommendation worth 9 college credits
  • Strong foundation in data visualization principles

CONS

  • Limited to Excel and Cognos; lacks Python/R/SQL depth
  • Some find content delivery slow and repetitive
  • Insufficient alone for immediate job market entry

DETAILED AI RATINGS

Content Quality
7.0/10

Comprehensive Excel coverage with hands-on projects. Limited to older tools; lacks Python/R and modern analytics platforms.

Instructor Delivery
7.0/10

Well-structured IBM content with clear explanations. Some students find pacing slow and delivery style boring.

Platform Experience
8.0/10

Reliable Coursera interface with lifetime access. Interactive labs work smoothly; no software installation required.

Value For Money
8.0/10

Good value at ~$39-59/month subscription. ACE credit recommendation for 9 college credits adds significant value.

Learning Outcome
7.0/10

Strong Excel foundation achieved. Students report needing additional projects and modern tools for job market readiness.

DECISION GUIDE

Take This Course If

You're new to data analysis and prefer non-programming approach

Excellent starting point for Excel-focused data work with clear progression and college credit potential.

Skip This Course If

You already know Excel basics or want programming-heavy curriculum

Limited tool coverage may not meet needs for advanced analytics or modern data science roles.

SOURCES & REFERENCES

  • https://www.coursera.org/specializations/data-analysis-visualization-foundations
  • https://www.reddit.com/r/dataanalysis/comments/ugy2hh/ive_started_doing_the_coursera_data_analytics/
  • https://www.reddit.com/r/dataanalysis/comments/13lwpae/need_assistance_about_choosing_data_analyst/
  • https://www.reddit.com/r/dataanalysis/comments/zwrb95/what_do_you_all_think_about_the_coursera_data/
  • https://www.classcentral.com/course/data-analysis-visualization-foundations-22283
  • https://forecastegy.com/posts/best-data-visualization-courses-coursera/
  • https://ecoursefinder.com/ibm-data-analyst-course-review
  • https://www.credly.com/org/ibm/badge/data-analysis-visualization-foundations-specialization-v2

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 Analysis and Visualization Foundations Specialization

Data Analysis and Visualization Foundations Specialization

By Coursera with IBM

Data Science & Analytics

7.4
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Specialization
37 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
7.0
Platform Experience
8.0
Value For Money
8.0
Learning Outcome
7.0
All reviews are verified by TrustCourse