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Course Syllabus

1

Module 1 • Introduction to Data Analytics

2

Module 2 • All About Analytical Thinking

3

Module 3 • Data Life Cycle and Analysis Process

4

Module 4 • Data Tools and Career Opportunities

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

Course Goal

Build foundational understanding of data analytics concepts, develop analytical thinking skills, and prepare for entry-level data analyst roles through hands-on Google curriculum.

One-Minute Verdict

Solid foundational course for absolute beginners but insufficient alone for job readiness—expect to need substantial additional learning in SQL, Python, and advanced tools.

PROS

  • Excellent introduction to data analytics terminology and concepts
  • Teaches analytical thinking approach effectively
  • Part of recognized Google certificate program
  • Strong community support and resources

CONS

  • Very basic coverage of SQL, R, and Tableau
  • Insufficient technical depth for immediate job application
  • Requires substantial additional learning for career transition

DETAILED AI RATINGS

Content Quality
7.0/10

Comprehensive coverage of data analytics fundamentals but remains surface-level; lacks depth in technical tools like SQL and R.

Instructor Delivery
8.0/10

Well-structured, beginner-friendly approach with clear explanations and engaging video content from Google professionals.

Platform Experience
8.0/10

Standard Coursera experience with reliable video delivery, quizzes, and hands-on activities; good progression tracking.

Value For Money
8.0/10

Strong value as part of Google certificate program; provides career-relevant foundation at reasonable Coursera subscription cost.

Learning Outcome
6.0/10

Builds solid theoretical foundation and analytical mindset but requires significant additional study for job readiness.

DECISION GUIDE

Take This Course If

You're completely new to data analytics and want a structured introduction

Perfect starting point for career changers or absolute beginners who need to understand the data analytics landscape and develop analytical thinking.

Skip This Course If

You already have experience with Excel, SQL, or data analysis

Content will be too basic and you'd benefit more from intermediate courses focusing on specific tools and advanced techniques.

SOURCES & REFERENCES

  • https://www.coursera.org/learn/foundations-data
  • https://www.reddit.com/r/dataengineering/comments/no427b/has_anyone_taken_coursera_data_engineering/
  • https://www.reddit.com/r/analytics/comments/xnp7b2/google_data_analytics_professional_certificate/
  • https://coursecorrect.fyi/blog/google-data-analytics-certificate-review/
  • https://www.reddit.com/r/SQL/comments/1151nnx/has_anyone_landed_a_job_after_getting_google_data/
  • https://www.kellyjadams.com/post/google-data-analytics-course-review
  • https://www.reddit.com/r/dataanalysis/comments/ugy2hh/ive_started_doing_the_coursera_data_analytics/
  • https://www.reddit.com/r/dataanalysis/comments/v6lm46/feelings_on_google_data_analytics_from_coursera/

About this AI Summary

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

Powered by AI

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HomeCoursesData Science & AnalyticsFoundations: Data, Data, Everywhere

Foundations: Data, Data, Everywhere

By Coursera with Google

Data Science & Analytics

7.4
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Online Course
11 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
8.0
Platform Experience
8.0
Value For Money
8.0
Learning Outcome
6.0
All reviews are verified by TrustCourse