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TDWI Upside - Where Data Means Business

Data Science


Data Digest: AutoML, MLOps, and Algorithm Choice

Learn about the state of AutoML, the basics of MLOps, and finding the right data science algorithm.

Data Digest: Collaboration, Probable Answers, and Ethics for Data Science

How data scientists can work with data engineers, why data science doesn’t provide hard answers, and establishing ethical guidelines.

Data Digest: Data Science Culture, Hiring, and Training

How to support data science projects, hire the right skills, and train for data science work.

Data Digest: Data Science Changes, Trends, and Examples

How data science is changing because of COVID-19, data science trends to watch, and how to apply machine learning today.

Data Digest: Data Science and BI, Biases, and Data Prep

How data scientists can work alongside BI and avoid biases, plus new information about time spent on data preparation.

Data Digest: Data Science Trouble, ML Flaws, Data Science Culture

How to manage problem areas for data science, compensate for machine learning’s weaknesses, and improve your data culture.

Data Digest: First Data Science Projects, Free Data Sets, ML Engineers

Choosing a first data science project, finding data sets for data science training, and learning the responsibilities of machine learning engineers.

Data Digest: Applying Predictive Analytics, Data Science, and AI

How to use predictive analytics to become more proactive, integrate data science into your business, and manage AI’s data difficulties.

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