Some other tools/ideas that can guide a #SEO Specialist in your journey towards being more data-driven.
There are a lot of loanwords from #datascience in here!
Another thread again π§΅π§΅
There are a lot of loanwords from #datascience in here!
Another thread again π§΅π§΅
SQL and DBMS (Database Management System): the former is a language to perform queries on a database, the latter is a system to manage a database.
If you're tired of ""storing"" your data in unreliable Excel sheets then you're in the right place...
If you're tired of ""storing"" your data in unreliable Excel sheets then you're in the right place...
...Google BigQuery is one top-tier tool that you can explore for storage and for queries/calculations.
SQL is the most important technical data skill you can wish for!
SQL is the most important technical data skill you can wish for!
Data Visualization: manipulating data and automation can be cool but you need visualization skills.
Spend some time to think about the best way to represent your data and how you can tell a story with them.
It seems easy, trust me, it is not!
Spend some time to think about the best way to represent your data and how you can tell a story with them.
It seems easy, trust me, it is not!
Statistics: yes, you've read it right, Statistics. The nightmare of many students and one of the most tricky subjects on the planet...
...Fortunately, understanding the basics very well can get you far in #SEO and digital marketing, given that you acknowledge those scenarios where you admit you need someone more experienced!
Cloud solutions: if you are going to code something you'll face the hard truth of deploying models on cloud, such as AWS, Azure or GCP.
I recommend learning Google Cloud Platform (GCP) because, you know, as an #SEO you normally work with Google APIs.
I recommend learning Google Cloud Platform (GCP) because, you know, as an #SEO you normally work with Google APIs.
Domain knowledge: this terms is much more frequent in #datascience and in the SEO world it's close to having the so-called business knowledge.
It doesn't matter actually, the important is to have an understanding of what you can expect from the data in a given domain.
It doesn't matter actually, the important is to have an understanding of what you can expect from the data in a given domain.
Linguistics: #NLP and Knowledge Graphs are rooted in natural language, so studying some concepts can greatly improve the understanding of some algorithms.
I think that if you start learning a little bit of each you can have a different perspective on many tasks and/or strategies.
Being cross-disciplinary can make you more attractive in the job market as well!
Being cross-disciplinary can make you more attractive in the job market as well!
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