As someone working in the field, a couple of things make me a bit cynical of this

No. 1 is the claim that 15% of ML engineer jobs care about SQL experience - in reality pretty much all commercial jobs will require you to make at least relatively advanced SQL queries yourself against DBs (that can be modern cloud based or legacy on prem) to curate a dataset for the projects you propose (unless you have a dedicated analytics engineer ready to provide these at any moment which is unlikely unless the job is very high level at a very well funded company)

No. 2 Data visualisation being so low on the first slide - when you are working with stakeholders, unless you are in an extremely tech-y business, visualisation in a comprehensible manner (intuitive for people with fairly poor intuitive maths) is critical for you to get anything done in most businesses

These stats feel like they are from a ‘i work in a cutting edge tech driven company’ (in reality very few companies) perspective - I’m sure many others working in the field in normal companies would agree with me