@AlyshiaMHull ChatGPT or any AI tools helped me automate a lot of manual tasks and got me to focus on more important work. Happy to share a quote! And discuss more ๐
Iโm looking for journalists covering AI jobs / future of work.
We analyzed over 231,000+ candidate study sessions on Dataford.
Happy to share the report or a quote.
https://t.co/gxiz0I9yIr
#journorequest#prrequest#AIJobs#FutureOfWork
We analyzed 231,000+ sessions to give you a sense of where the tech job market is heading in 2026.
And here are the key insights:
1) Nvidia is the #1 company candidates are preparing for
2) Software Engineer is still the biggest role, with 22% of prep demand
3) AI Engineer is now the #2 most wanted role overall
4) New roles like Forward Deployed Engineer, GenAI Engineer, and Agentic AI Engineer are the most trendy
For more details: https://t.co/ixwPaUl3HE
We analyzed 231,000+ sessions to give you a sense of where the tech job market is heading in 2026.
And here are the key insights:
1) Nvidia is the #1 company candidates are preparing for
2) Software Engineer is still the biggest role, with 22% of prep demand
3) AI Engineer is now the #2 most wanted role overall
4) New roles like Forward Deployed Engineer, GenAI Engineer, and Agentic AI Engineer are the most trendy
For more details: https://t.co/ixwPaUl3HE
Ashton Kutcher is estimated to have made $90 million as an actor over 25 years.
His $30 million investment in OpenAI is now up more than $1.25 billion in less than 3 years.
Kevin OโLeary reveals youโll become a millionaire on $69,000/year by investing 20% of your paycheck each week๐
โTake 20% of your salary of $69,000 and put it into the market each week and don't touch itโ
Massive opportunity for $CHZ or Chiliz the sports blockchain ahead of the @WorldCup 2026 in the US.
Not a financial advice.
But great risk/reward opportunity.
Python tip
You've been creating extra columns just to group by month.
pd.Grouper does it in one step, inside the groupby.
Same result. No extra column.
It works for any time frequency -- weekly, quarterly, custom intervals -- without touching your data.
As a Data Analyst, ๐๐ผ๐๐ฟ ๐ท๐ผ๐ฏ ๐ถ๐ ๐ก๐ข๐ง ๐๐ผ ๐ฝ๐๐น๐น ๐ฑ๐ฎ๐๐ฎ.
Repeat after me:
My main job is NOT to pull data.
My main job is NOT to pull data.
My main job is NOT to pull data.
My main job is NOT to pull data.
Your main job is to:
- Drive insights & Recommendations
- Influence decisions within the team
- Make REAL impact
This is what matters.
If I had 90 min/day to prep for my Data interview
This is exactly how I would do it:
1) 30 min on SQL
2) 30 min Business Case
3) 10 min Stats & Probability
4) 20 min Behavioral Questions
If you do this consistently (at least 5x/week)
I promise youโll feel the difference pretty fast.
You'll start feeling more comfortable in interviews
And starting seeing results.
What is your routine?
At my work every month we look at customer retention.
A single churn rate doesn't tell the whole story.
You need to show when customers are leaving.
Here's how you can do it with a cohort analysis heatmap in python