The hottest Statistical Modeling Substack posts right now

There are no hard rules in data analysis, just principles to follow
Criticism often stems from misunderstanding the intent behind a chart or analysis
Complex models don't always guarantee better insights compared to simple data comparisons

An Assistant Sports Analyst position is open, mostly focusing on improving sports models for NFL, NBA, and college basketball. It's part-time and could turn into full-time.
Candidates need skills in Stata, Python, and data analysis, along with a strong interest in sports. Pay ranges from $40-50 per hour, depending on work done.
To apply, email with your materials and be prepared for interviews in early April. The deadline to apply is March 25, 2024.

Computers will never truly understand or create good literature. They lack the ability to appreciate and express the complexities of human writing.
Color scales are important in data visualization. Choosing the right color can make your data easier to understand and communicate.
Data documentation and organization are crucial for effective data management. Having a clear framework helps teams work better and ensures everyone understands the data.

Deep learning can be fun to explore, and there's a quick guide to help you get started with it.
Data science skills are in high demand, so asking the right questions before a job offer is really important.
There are great resources and tools out there for data visualization and machine learning to help you improve your skills.

Data scientists are still in demand and well-paid, with job growth expected to continue into the future.
Large Language Models (LLMs) are playing a big role in innovation and are becoming a part of everyday life.
There's a growing need for domain experts in deep learning, allowing more people without advanced degrees to contribute to the field.

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