Master Scientific and Technical Writing Program in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Scientific and Technical Writing Program, from foundations to a certified capstone project.
Audience
โข Technical reports, SOPs, protocols and specifications and their differing purposes
โข Audience and use-context analysis before choosing structure or register
โข Writing for a reader who is scanning to act, not reading to learn
Procedures
โข Imperative step structure, one action per step, and testable acceptance criteria
โข Prerequisites, materials, hazards and the placement of warnings before the step
โข Version control, effective dates and controlled-document discipline
Reports
โข Executive summaries written for a decision maker who reads nothing else
โข Separating observation, interpretation and recommendation explicitly
โข Appendices and traceability so a claim can be checked back to data
Visuals
โข Choosing between a table and a chart based on what the reader must extract
โข Labelling, units, significant figures and uncertainty shown honestly
โข Accessibility: colour choices, contrast and alternative text
Standards
โข House style guides and referencing systems such as IEEE, AMA and Vancouver
โข Plain-language principles and readability measures with their limitations
โข Editing checklists and structured review before a document is released
e-Certificate and e-Marksheet issued on successful completion.