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Who We Are?
CodeCut is a newsletter on data-related topics, covering best practices and tools in data science, data engineering, and MLOps, from Khuyen Tran, who is respected in the data science community for her ability to explain complex concepts in concise, informative posts, articles, and newsletters
About Our Newsletter
We send out our newsletter three times per week to our audience. Each newsletter covers short tips on Python, data science, machine learning, and data engineering that are digestible in a couple of minutes.
Statistics
Linkedin Followers
0 +
X Followers
0 +
Followers in Newsletter
0 +
Newsletter statistics
Average open rate
48.67%
Rating
Demographics of Our Subscribers
Role
Data Scientist
41.4%
Data Engineer
31.4%
Software Engineer
30%
Data Analyst
25.7%
MLOps Engineer
20%
Data Manager
7.1%
Student
7.1%
Other
17.1%
Continents
What Our Audience Think About Us
How practical is this email for you?
Potentially useful - I may apply this in the future
50.7%
Immediately applicable - I'll use this information right away
47.8%
How would you rate the length of this newsletter?
Perfect length - I read it all comfortably
85.3%
Reader interest
Python coding tips and best practices
85.7%
Exploration of data science tools
71.4%
Exploration of data engineering tools
60%
In-depth analysis of fundamental data science concepts
48.6%
Sponsorship Tiers
Packages
Premium Package
1 ⨯ Sponsored tweet
- KhuyenTran16
3 ⨯ Code snippets or videos
- Newsletters
1 ⨯ Sponsored Linkedin Post
- Your ad or technical demo will be featured at the top of our newsletter, ensuring maximum visibility and engagement.
- Each sponsorship covers three consecutive newsletters, sent within a one-week period, to help you reach and engage with our audience multiple times.
- Our premium tier sponsors also receive a social media post that will be shared on both LinkedIn and X, further amplifying your message and expanding your reach
Examples
Text-Based Ads (Available in Starter)
In-depth technical demos (Available in Premium)
