Library Science: 20-in-1 Premium Online Courses Bundle
Get ready to dive deep into the world of library science with this incredible bundle of 20 premium online courses!
Location
Online
Refund Policy
About this event
Delve into the evolving role of libraries with a course bundle that bridges traditional methods and modern systems. This training explores cataloguing, data handling, digital tools and communication—all tailored to help manage collections, people, and workflows. From mastering literature indexing to improving operational standards, it’s a sharp blend of core knowledge and relevant tools.
Whether you're aiming to sharpen your organisation skills or finesse your understanding of GDPR, R programming or MS Office tools—this bundle provides a structured approach without fluff. Featuring writing essentials, English literature insight, proofreading and more, this is your one-stop route to professional polish in the knowledge sector.
Learning Outcomes:
- Gain key methods in effective library and documents control
- Understand GDPR, MS Access and data handling principles
- Improve written accuracy with proofreading and report writing
- Use Excel, Word, and R for data and library tasks
- Manage teams and time with structured planning tools
- Build communication skills fit for public or academic settings
Who is this Course For:
- Library support staff aiming to widen their skill range
- Those seeking document or data management responsibilities
- Administrative workers handling report writing or records
- Professionals looking to sharpen proofreading accuracy
- Academic assistants in need of IT and communication tools
- Anyone exploring Excel, R or MS Access for library work
- Career changers with interest in archival responsibilities
- Team organisers or junior managers in learning institutions
Career Path:
- Academic Librarian – £35,000/year
- Records Officer – £28,000/year
- Data Entry Analyst – £26,500/year
- Digital Archivist – £30,000/year
- Information Assistant – £23,000/year
- Proofreader – £25,500/year