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Overview
The focus in this Introduction to ATLAS.ti 8 course at the University of Surrey is on gaining confidence in setting up a project efficiently, managing and organising data, exploring and conceptualising data, and interrogating and visualising data.
Learning outcomes
- Understand the structure of ATLAS.ti and how it can be used throughout a research project
- Navigate around the software and operate it to undertake analysis
- Understand the importance of analytic planning in harnessing ATLAS.ti tools powerfully
- Set up an ATLAS.ti project to reflect initial research design and change structures as a research project progresses
- Identify ATLAS.ti tools that can be used to fulfil specific analytic tasks
- Know where to access relevant resources to support continued ATLAS.ti use
Programme Structure
Topics include:
- Software overview including interface, architecture and tools
- Developmental, methodological and analytical principles
- Principles of using ATLAS.ti
- Data preparation, import and organisation
- Data exploration and familiarisation
- Coding strategies including appropriate uses of auto-coding
- Use of writing and visualisation tools to reflect on data and processes
- Querying and outputting
- Analytic planning ensuring analytic strategies drive the appropriate use of software tools
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
To be confirmed
Language
English
Delivered
Online
Campus Location
- Guildford, United Kingdom
Disciplines
Data Science & Big Data View 45 other Short Courses in Data Science & Big Data in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Entry requirements:
- There are no formal entry requirements for this course.
- You should have a broad understanding of qualitative and/or mixed methods methodologies.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents135 GBP / full≈ 135 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents135 GBP / full≈ 135 GBP / full
Additional Details
- Students: £135
- Education and charitable sector applicants: £175
- Government and commercial sector applicants: £225
Funding
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