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Course Code: DIGTR 339
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Data Collection Techniques
Course Sector:
Digital Transformation and Innovation
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Dubai, UAE $4,250
02
5 Days
Abu Dhabi, UAE $4,250
Introduction
Training course introducion / brief
This comprehensive training program on Data Collection Techniques provides participants with an in-depth understanding of the principles and practices essential for effective data collection and management. Over the course of five days, participants will explore the significance of data collection within historical contexts and learn to define comprehensive data collection plans tailored to their projects' needs.
Through a blend of theoretical insights and practical exercises, participants will delve into various data collection techniques, including interviews, questionnaires, surveys, observations, and focus groups. Additionally, participants will gain insights into handling Big Data, understanding its fundamentals, storage, processing, analytics, and strategies, while also addressing privacy concerns and ensuring data quality. The training culminates with a focus on real-time data gathering methods and their applications, providing participants with the tools and knowledge to navigate contemporary challenges in data collection effectively.
Course Objectives
At the end of the training course, participants will be able to
- Grasp the importance of devising a data collection strategy.
- Distinguish between primary and secondary data sources.
- Determine the appropriate sample size for data collection.
- Apply data quality checklists to ensure accuracy and reliability.
- Comprehend the characteristics of Big Data.
- Identify the advantages of real-time data collection techniques.
- Recognize privacy concerns associated with data collection activities.
Course Audience
Who is this course for, and can benefit the most
This training program is tailored for professionals across diverse industries seeking to enhance their proficiency in data collection techniques and strategies.
Course Outline
The course aims and learning outcomes
The Importance of Data Collection
- Historical Context
- Data Sources
- Defining the Data Collection Plan
- Determining the Sample Size Required
- Project Charter
- Common Sources of Data
Collecting Data
- Most Common Data Collection Techniques
- Conducting an Interview
- Using Questionnaires and Surveys
- Observations and Focus Groups
- The Aspects of Big Data
- Automated Techniques for Data Collection
- Data Management Strategy
Examples of Use of Data Collection Techniques
- Planning and Conducting an Interview
- Planning and Creating a Survey
- Determining Survey Scales
- Conducting Experiments
- Plan and Use Online (electronic) Surveying Tools
- Sources of Secondary Data
- Use and Referencing of Secondary Data
Big Data Concepts
- Big Data Fundamentals
- Five V’s of Big Data
- Enterprise Technologies for Big Data Collection and Analysis
- Big Data Storage and Processing
- Big Data Analytics
- Big Data Strategy
- Preserving Privacy with Big Data Applications
- Data Quality (completeness, uniqueness, timeliness, validity, accuracy, consistency)
Real-time Data Gathering and Its Application
- The Meaning of Real-time Data Gathering
- Gathering Data from RFID
- Gathering Geolocations of Mobile Phones and its Use in Urban Planning
- Multimedia Data
- Data Gathering for Risk and Uncertainty Management
- Errors and its Mitigation in Real-time Data Gathering
- New Concepts, Methodologies and Way Forward
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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