ABOUT DATASCI10X
Learn the tools.
Practice the judgment.
Build the work.
DataSci10X is a free, structured, text-first learning platform for people developing applied capability in data science, machine learning, and AI.
REASONING MODEL
PRODUCT MANIFESTO
Built for better data-science thinking.
Learning data science should not stop at memorizing syntax or algorithms. The useful work begins when a learner can understand a problem, reason through uncertainty, diagnose what may be wrong, choose an approach, build evidence, and communicate a decision clearly.
DataSci10X connects those stages into one structured progression. It is a strong foundational-to-intermediate applied curriculum, designed to help learners move from technical concepts to work they can explain and defend.
LEARNING MODEL
One journey, four kinds of work.
- 01
Learn
Build conceptual foundations.
- 02
Practice
Develop analytical judgment.
- 03
Build
Apply ideas through realistic projects.
- 04
Career
Communicate and defend decisions.
BUILDING PRINCIPLES
Serious learning is more than content consumption.
- 01
Understand before optimizing.
Build a foundation before reaching for a more complicated tool.
- 02
Reason before choosing.
Treat method selection as a decision with trade-offs, not a memorization exercise.
- 03
Test assumptions.
Inspect data, evaluation choices, and failure modes before trusting a result.
- 04
Build evidence.
Use projects to turn learning into work that can be inspected.
- 05
Communicate limitations.
Explain what the evidence supports and what it cannot establish.
CURRENT CATALOG
Evidence of the learning system.
- 95
- Lessons
- 100
- Practice problems
- 10
- Applied projects
- 15
- Resources
- 3
- Learning paths
Free to use, with no account required. Progress is stored locally in the browser and is not cloud-synchronized.
FOUNDER NOTE
Nikita Gajbhiye
Founder, DataSci10X
Nikita Gajbhiye is a Data Engineer, AI/ML researcher, open-source AI systems builder, and TEDx speaker. Her work spans scalable data systems, applied machine learning, trustworthy AI, open source, and technical mentorship.
She founded DataSci10X to create a more structured way to learn data science and AI - one that goes beyond memorizing tools and helps learners reason through problems, practice, build real work, and communicate their decisions clearly.
START WHEN READY
Put your learning into practice.
Begin with a structured lesson, then build the evidence that makes your work easier to explain.
DataSci10X is a free, non-accredited learning platform. Progress is stored locally in your browser.