Google Data Analytics Certification Overview

Aug 19, 2024

Google Data Analytics Professional Certification Review

Introduction

  • Presented personal experience with the certification.
  • Addressed common questions regarding the value of the certification.

Key Points

  • Certification vs Degree:

    • Certification alone cannot replace a four-year degree.
    • Helped secure multiple job offers.
    • Good stepping stone for entering the data field.
    • Eye-catching on resumes and useful for interviews.
  • Course Duration:

    • Estimated duration: 6 months.
    • Completed in less than a month by dedicating 8 hours/day.
    • Personal circumstances allowed for rapid completion.
  • Cost:

    • Current cost: $49/month (Coursera Plus).
    • Option to take multiple courses simultaneously.
    • Free 7-day trial available for quick completion.

Skills and Tools

  • Tools used: Google Sheets, BigQuery, Tableau, R.
  • Skills learned: Data cleaning, mining, aggregation, visualization.
  • Each course includes assessments, quizzes, and labs.
  • Ability to skip courses if already familiar with the topic.

Curriculum Structure

  • Data Analysis Workflow:
    • ASK, Prepare, Process, Analyze, Share, Act.
  • Case Studies:
    • Opportunity to work with real-world data.
    • Encouraged to complete at least one for portfolio building.

Critiques of the Course

  • Preference for Python:

    • R is chosen over Python, which is seen as more versatile.
    • Google now offers an advanced certification using Python.
  • Generalized Content:

    • Course may be too general for some learners.
    • Real-world skills may need to be self-taught after completion.
  • Expectations:

    • Certification is entry-level; requires additional learning to advance in the field.
  • Job Market Misconceptions:

    • Certification alone does not guarantee job placement.
    • Important to showcase skills on LinkedIn, resumes, and portfolios.

Additional Benefits

  • Resume and interview tips provided during the course.
  • Networking opportunities with over 150 companies (US-based).

Conclusion

  • The certification is worth the investment if financially feasible.
  • Many free alternatives exist for those unable to pay.
  • Recommended further learning: IBM Data Science Professional Certification.
  • New advanced data analytics certification from Google to be explored.

Closing

  • Encouragement to leave comments for any questions.