Data
Science.
Statistics, ML, Python notebooks, model deployment. The deep path — for people who want to build models, not just query them. ~9 months to fully hireable.
Google Data Analytics Certificate
Required foundation. SQL, Python intro, Tableau, R basics. Do this before touching ML.
IBM Data Science Professional Certificate
10-course series covering Python, Jupyter, Pandas, Matplotlib, ML with scikit-learn. One of the best free data science programs available.
Statistics for Data Science
Non-negotiable. Probability, hypothesis testing, distributions, regression. StatQuest on YouTube makes it actually understandable.
TensorFlow Developer Certificate
✦ HIREABLE HEREHireable checkpoint. Validates ML engineering skills. Deep learning, CNNs, NLP, time series. Gets you into ML engineer and data scientist roles.
AWS Certified Machine Learning Specialty
Senior-level ML cert. Model training, tuning, deployment on AWS. Opens senior DS and ML architect roles.
3 End-to-End Projects
Data → model → deployment → writeup. One classification, one regression, one NLP or computer vision. Public on GitHub with README.
Aggregated from Indeed, LinkedIn, Glassdoor, Payscale, ZipRecruiter.
Test your knowledge.
5 questions · instant feedback · earn your DS badge on 4/5 correct.