NHS Data and Analytics Academy
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L2 Practitioner

  • Applies robust and ethical techniques in the transformation of data from one format or medium to another in line with organisational policies and procedures.
  • Uses data exploration techniques to help evaluate the characteristics of a dataset and its suitability for subsequent analysis. 
  • Understands and assists in the development and modification of source data e.g. data pipelines, datasets, data stores and metadata in accordance with established processes.
  • Shares knowledge of data sources with colleagues. 
  • Uses defined data modelling and design techniques under guidance. 
  • Makes effective use of available data sources using appropriate methods to extract data for analysis in an ethical manner. 
  • Creates new datasets through the manipulation of multiple data sources, including linking or matching data using techniques already established in the work area.
  • Recognises where external data sources can be integrated with own datasets.
  • Carries out routine data quality checks and remediation such as handling missing data or outliers and performing data cleansing. 
  • Documents and communicates the details of data structures to others.
  • Performs administrative tasks to ensure accessibility, retrievability, security and protection of data. 

Data Processing and Manipulation

Anomaly Detection Techniques for Large Datasets

Introducing Data Science for Beginners