Master Scientific and Technical Writing Program in 4 weeks through hands-on, project-based online training with DSTC.
The Scientific and Technical Writing Course is designed to enhance participants' ability to convey scientific and technical information in a clear and concise manner. This course covers essential aspects of writing, including structure, style, and the use of appropriate terminology. Participants will engage in practical exercises that mirror real-world scenarios, helping them to develop and refine their writing skills. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Scientific and Technical Writing Course is designed to enhance participants' ability to convey scientific and technical information in a clear and concise manner. This course covers essential aspects of writing, including structure, style, and the use of appropriate terminology. Participants will engage in practical exercises that mirror real-world scenarios, helping them to develop and refine their writing skills.
1. Put biotechnology techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
β’ Master's and senior undergraduate students specializing in biotechnology
β’ R&D engineers and working professionals applying biotechnology in industry
β’ Academics and educators building research or teaching capacity in biotechnology
β’ A portfolio-grade biotechnology deliverable you can defend and extend.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
β’ Technical reports, SOPs, protocols and specifications and their differing purposes
β’ Audience and use-context analysis before choosing structure or register
β’ Writing for a reader who is scanning to act, not reading to learn
β’ Imperative step structure, one action per step, and testable acceptance criteria
β’ Prerequisites, materials, hazards and the placement of warnings before the step
β’ Version control, effective dates and controlled-document discipline
β’ Executive summaries written for a decision maker who reads nothing else
β’ Separating observation, interpretation and recommendation explicitly
β’ Appendices and traceability so a claim can be checked back to data
β’ Choosing between a table and a chart based on what the reader must extract
β’ Labelling, units, significant figures and uncertainty shown honestly
β’ Accessibility: colour choices, contrast and alternative text
β’ House style guides and referencing systems such as IEEE, AMA and Vancouver
β’ Plain-language principles and readability measures with their limitations
β’ Editing checklists and structured review before a document is released
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Microsoft Excel |
| Covered Tool / Platform | Relevant Online Databases |
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