PAID vs FREE AI TOOLS IN 2026

📱 Research
1. Paid: ChatGPT.com
2. Free: Scispace.com

🖼 Image Generation
1. Paid: Ideogram.ai
2. Free: Mage.Space

💧 Watermark Remover
1. Paid: Fotor.com
2. Free: Cleanup.pictures

📈 Presentation Maker
1. Paid: Beautiful.ai
2. Free: SlidesAI.io

🎞 Video Generator
1. Paid: Synthesia.io
2. Free: Veed.io

📝 Writing
1. Paid: Quillbot.com
2. Free: Scribbr.com

👩‍🎨 Design
1. Paid: Canva.com
2. Free: Designer.microsoft.com

Coding is tricky. Coding in interviews feels even harder. It’s intimidating, uncertain and hard to prepare. Here are 4 ways to do it!

1. Interview Cake: I think it is some of the best prep available and it is targeted toward weaknesses many data scientists have in algorithms and data structures: https://www.interviewcake.com/

2. Leetcode: While developed for software engineering interviews, it has a LOT of useful content for learning algorithms. For data science, I'd suggest focusing on Easy/Medium: https://leetcode.com/

3. Cracking the Coding Interview: Amazing book, sometimes referred to as CTCI. A classic and one you should have: https://cin.ufpe.br/~fbma/Crack/Cracking%20the%20Coding%20Interview%20189%20Programming%20Questions%20and%20Solutions.pdf

4. Daily Coding Problem: The book and the website are awesome. Work on a daily problem. This was my go to resource for when I was looking to stay sharp: https://www.dailycodingproblem.com/