Data processing languages (e.g. Scala, Python, SQL, R)
Data Science packages (e.g. Pandas, sklearn)
ML algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest)
Language processing (NLP), image processing, forecasting
Data cloud services for Data Science
Model deployment and production
Deep learning (reinforcement learning)