Why subscribe to Data Tinkerer?
Data Tinkerer delivers curated, actionable insights about data science, engineering, and analysis from 100+ tech companies and blogs directly to your inbox. So if you don’t want to sift through all of them manually, Data Tinkerer is for you!
So what is the Data Tinkerer newsletter structure
Data Tinkerer has 4 parts to specifically cater to different data needs so you are not spammed with stuff you don’t need:
Data Bytes - Weekly round-up of latest developments in all things AI and data (science, engineering and analysis)
Data Science - Breakdown of a technical implementation of AI/Data Science across top companies
Data Engineering - Deep dive into a technical implementation of Data Engineering across top companies
Data Analysis - Providing explanation for important data analysis concepts and sharing recommended data visualisations
So which newsletter should I subscribe to?
Well that’s up to you but if you just want be across the latest updates or are not technical, best to start with only Data Bytes which is a weekly round-up of the latest news related to AI and data.
If you are more technical, you can subscribe to your relevant field of interest (Data Science, Data Engineering, Data Analysis) and receive technical deep dives and explanations as well
So what’s the difference between the free and paid versions?
Free Version
1- A Weekly update on the latest AI and data news (Data Bytes)
2- A Weekly deep dive into a data topic: data science, engineering, or analysis. Some posts are free to read (but after a month or two, they go behind a paywall). Others are for paid subscribers only, right from the start.
If you want full access, including the full archive, please consider subscribing.
Paid Version
1- Access to subscriber only posts and full archive
2- Access to an exclusive chat with Data Tinkerer to suggest topics or articles and ask data related questions
3- Access to the list of data science/data engineering articles published on Data Tinkerer which are monitored and extracted from 100+ companies. Each article is broken down based on their stream (data science/data engineering), tech stack, company, industry and STAR format for ease of search and use (sample here)
4- Access to 100+ cheat sheets for all things data (if you haven’t already unlocked it via referral)
5- Access to 100+ resources to learn all things data (science, engineering, analysis). It includes videos, courses, projects and can be filtered by skill, level or free/paid (if you haven’t already unlocked it via referral)
So who are you and why are you doing this?
Who am I? I have tinkered with different facets of data. I’ve been a data analyst, scientist and engineer. I’ve worked on spreadsheets, created forecast models and built data pipelines that worked (most of the time).
Why am I doing this? I wanted to be across the latest data developments as a data consultant so was looking for a source. When I did not find a curated source for different data roles, I decided to aggregate and share them here
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