Industry Connect
  • Industry Connect
  • Team
  • Automation Lab
    • Proposed Automation Lab
  • Founding Cohort
    • Program Details
    • Program Tech Skills Schedule
    • Google Data Analytics Pacing
    • Kaggle Tutorial Pathway & Pacing
    • Weekly Sessions
      • W1 January 12 ✓
      • W2 January 19 ×
      • W3 January 26 ✓
      • W4 February 2 ✓
      • W5 February 9 ✓
      • W6 February 16 ×
      • W7 February 23 ✓
      • W8 March 1 ✓
      • W9 March 8 ✓
      • W10 March 15 ✓
      • W11 March 22 ×
      • W12 March 29 ×
      • W13 April 5 ✓
      • W14 April 12 ✓
      • W15 April 19 ✓
      • W16 April 26 ✓
      • W17 May 3 ✓
      • W18 May 10 ✓
      • W19 May 17 ✓
    • Projects
      • Data Analytics Project
      • Cobot Project
    • Reference
      • Cobot Reference
      • Files
      • Your Learning Strategy
Powered by GitBook
  1. Founding Cohort

Google Data Analytics Pacing

Last updated 8 months ago

Successfully completing the eight Coursera courses for the earns you a professional certificate issued through Credly, like . While you can complete the courses at your own pace, we have outlined a pacing guide to help ensure you make diligent progress towards completion.

Your Learning Strategy

Develop a learning strategy that works for you. Consider the points below as you plan your work.

  • What days of the week and times of the day do you intend to make progress? Consider when access to a computer and the internet is consistent, and recognize where the environment (e.g. noise-level and table space) is conducive to getting things done.

  • Who are your advocates? Of course the Industry Connect team is advocating for you, but you will want others to cheer you on with your effort and progress in this program. Plan to share your progress with a family member, coach, or teacher. They will likely remind you to stick with it and see it through.

  • Don't hesitate to find help. Be quick to ask for help on Slack or during our Friday meetings -- whether you have technical questions or you are facing some other hurdle. Lean on your advocates for help and encouragement.

Pacing Schedule

Remember, if you fall behind, you can always catch-up. These are not hard deadlines.

Course
Target Completion Date

Coursera Course 1 (~27 hrs)

2/23/24

Coursera Course 2 (~27 hrs)

3/15/24

Coursera Course 3 (~32 hrs)

4/5/24

Coursera Course 4 (~32 hrs)

5/10/24

Coursera Course 5 (~32 hrs)

5/31/24

Coursera Course 6 (~32 hrs)

6/21/24

Coursera Course 7 (~32 hrs)

7/12/24

Coursera Course 8 (~27 hrs)

7/26/24

Google Data Analytics Professional Certificate
this one
👕
💻
Foundations: Data, Data, Everywhere
Ask Questions to Make Data-Driven Decisions
Prepare Data for Exploration
Process Data from Dirty to Clean
Analyze Data to Answer Questions
Share Data Through the Art of Visualization
Data Analysis with R Programming
Google Data Analytics Capstone: Complete a Case Study