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Note: Data engineers often work closely with Data scientists, Data analysts and Machine Learning engineers. It’s good to have a basic understanding of the tools they use.
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Visualise data
- Tableau [general recommendation]
- Looker [personal recommendation]
- Grafana [general recommendation]
- Jupyter Notebook [general recommendation]
- Microsoft Power BI
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Machine Learning fundamentals
- Terminology [general recommendation]
- Supervised vs unsupervised learning
- Classification vs regression
- Evaluation metrics
- scikit-learn [general recommendation]
- Tensorflow [personal recommendation]
- Keras [personal recommendation]
- PyTorch [general recommendation]
- Terminology [general recommendation]
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Machine Learning Ops
- Tensorflow Extended (TFX) [general recommendation]
- Kubeflow [personal recommendation]
- MLflow
- Amazon SageMaker
- Google Cloud AI Platform
Note: Keep learning...