They use Metabase for self-service analytics at work. I like the ability to explore on my own and create robust analyses and dashboards. I have started building a couple of reports on my own, but I need to get better at SQL before feeling comfortable using this tool.

I loved learning about Python and R and their excellent data science libraries. But the world still belongs to SQL.

According to my college in Mexico (Monterrey Tech), not all digital records are the same. They just informed me that because I graduated so long ago (1998), producing an official copy of my transcript will take six months!

Can you believe that? I can not understand why on earth it would take them so long. Do they have to go to the scrapyard and find the hard drive with my records? It is ridiculous.

The consequence of that delay is that I will not be able to apply to UT Austin’s data science master’s degree this year. It might not be such a bad thing.

I realized there is so much for me to learn, and maybe the rigid format of a master’s would be hard to do while working full time. I have decided to break it down into courses and go one at a time.

It is a more flexible arrangement. There is no penalty if I have a hard week at work and have to put off learning for a few days. Also, as I keep going down the list, I can more easily adjust my path.

Here is my updated learning path:

Platform Skill Track / Program
DataCamp SQL for Business Analysts ST
  Data Literacy Fundamentals ST
  Data Skills for Business ST
  Power BI Courses
  Tableau Fundamentals ST
  Python Programmer Career Track
  Importing & Cleaning Data with Python ST
  Data Manipulation with Python ST
  Time Series with Python ST
  Python Toolbox ST
  Deep Learning in Python ST
  Big Data with PySpark ST
  Data Engineer Carrer Track
  SQL Server Fundamentals ST
  NLP in Python ST
  Deep Learning for NLP ST
A Cloud Guru Python Development
  Google Cloud IAM Deep Dive
  Google Cloud Certified Professional Data Engineer
  Google Cloud AI Services Deep Dive
  Google Cloud SQL Deep Dive
Coursera Google Cloud Certified Professional ML Engineer

Finishing all these courses will take me at least a couple of years. Some people could feel overwhelmed or discouraged by such a long list of to-dos. Not me.

I am very excited and grateful for the opportunity to keep learning.