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DM0930 Aug - 03 Sep, 2021Live Online$1800Register
DM0929 Nov - 03 Dec, 2021Live Online$1800Register
DM0928 Feb - 04 Mar, 2022Live Online$1800Register
DM0923 May - 27 May, 2022Live Online$1800Register
DM0929 Aug - 02 Sep, 2022Live Online$1800Register
DM0921 Nov - 25 Nov, 2022Live Online$1800Register

Classroom Training Schedules

DM0902 Aug - 06 Aug, 2021London$4750Register
DM0921 Feb - 25 Feb, 2022Houston$4750Register
DM0901 Aug - 05 Aug, 2022London$4750Register

Did you know you can also choose your own preffered dates & location? Customise Schedule

Course Overview

The very first step in data analysis is to identify the need for data, followed by developing an ability to capture the right type of data. The most difficult step in analysis is often getting sensible data, particularly in the context of your organisation’s data management strategy.

This course will teach you the best practices to overcome some common obstacles in data capture, collection, and analysis. You will also learn strategies to recognise the best types of data to match your needs, look at the various methods to collect primary and secondary data, and also evaluate a range of research techniques.

The participants of this program will be introduced to data sources, data models, data management techniques and data ownership, all of which are all essential elements of a data-driven organisation.

They will examine the common methods, ordering tactics, system capacity and security issues in systems that deal with high data volumes and analytics. The participants will also evaluate the individual, legal and communal impacts of the ways in which data is collected, including the data shared on public platforms and social media.

They also assess the notable problems with Data capture, collection, and analysis, and how technological tools can be used to address these issues.

Why is this “Data Capture, Collection and Analysis Course” important in today’s times? The ability to collect and manage data is not to be taken lightly. If you identify the correct types and variables of data that would be required for a particular purpose, that data will then make a lot more sense once it is processed into information.

With efficient controls put in place for data management, you will be able to use the data that you collected more appropriately. Effective data capture, collection and analysis will also allow decision-makers to use the data gathered for more guaranteed outcomes, as well as allow them to validate decisions using this data.

This Zoe training course will empower you with the ability to collect and collate large amounts of data and then monitor and manage this data in order to make use of it to its optimum.

Course Objectives

Upon completing this Data Capture, Collection and Analysis Course successfully, participants will be able to:

  • Recognise different data elements in your own work and in everyday life problems
  • Identify needs before collecting data
  • Determine appropriate sample size
  • Select appropriate means of data collection
  • Design a viable, cost-effective data collection plan
  • Utilise primary data to make decisions and secondary data to support them
  • Learn how to acquire significant information through interviews and observations
  • Improve online data research methodologies
  • Design high-quality surveys

Training Methodology

This is an interactive training program and will consist of the following training approaches:

  • Lectures
  • Seminars & Presentations
  • Group Discussions
  • Assignments
  • Case Studies & Functional Exercises

Similar to all our courses, this program also follows the ‘Do-Review-Learn-Apply’ model.

Organisational Benefits

Companies who send in their employees to participate in this Data Capture, Collection and Analysis Course can benefit in the following ways:

  • Give your employees the ability to collect and analyse large volumes of data in order to arrive at critical business insights that have a huge impact on your company’s policy and marketing strategies
  • Provide your workforce with flexible and cost-effective professional development opportunities
  • Analyse case studies in this domain and be able to apply successful techniques in your organisation
  • Comprehend the principles and practice of data capture, collection, and analysis, and the context in which this operates

Personal Benefits

Professionals who participate in this Data Capture, Collection and Analysis Course can benefit in the following ways:

  • Learn and work with data capture, collection, and analysis tools that are used widely
  • Study each of the major fields of data capture, collection, and analysis in an organised and logical manner
  • Increase your demand as a professional with experience in data capture, collection, and analysis as most organisations are now looking for ways to exploit the power of big data
  • Recognise how to apply data capture, collection, and analysis across various industries
  • Obtain certification in emerging concepts like data capture, collection, and analysis, that will show potential employers and professional peers that you are an individual who takes your career seriously
  • Keep yourself updated with the latest industry trends in technology and use them to make better decisions at your workplace, thereby increasing your chance of success, and improving your professional credibility

Who Should Attend?

This Data Capture, Collection and Analysis Course would be suitable for:

  • Data analysts
  • Business intelligence analysts
  • Data visualiser
  • Data and analytics managers
  • Any professional who is interested in learning how data can be used in decision-making
  • Individuals who require skills and knowledge to gather data to use in an analysis project

Course Outline


  • Introduction to The Analytics Process Model
  • Applying the Analytics Process Model to Small Case Studies


  • Understanding the Organisation
  • The Importance of Understanding the Organisation
  • Defining the Organisation’s Goals
  • Defining Organisational Objectives
  • Assessing Your Research Audience
  • Translating Research Audience Needs into Analyses Requirements
  • The Decision Problem vs. the Research Problem


  • Research Designs
  • Overview of Primary and Secondary Data Collection Methods
  • Developing a Hypothesis
  • Linking Analytical Objectives to Organisational Objectives


  • Advantages of Planning
  • The Project Charter
  • The Components of the Project Charter


  • Sampling Terminology and Definitions
  • Sampling Overview
  • Sample Size Calculation
  • Sampling Techniques
  • Sources of Sampling Errors


  • Secondary Data Overview
  • Internal Secondary Data
  • External Secondary Data
  • Advantages and Disadvantages of Secondary Data
  • Data Integrity and the Internet


  • Overview of Interviews
  • Types of Interviews
  • Interview Preparation
  • The Interview Guide
  • Professionalism
  • Recording the Interview


  • Parts of a Survey
  • Survey Objective
  • Open-Ended/Closed-Ended Questions
  • Survey Design
  • Levels of Measurement
  • Determining Scales
  • Sources of Possible Survey Error
  • Increasing the Response Rate
  • Electronic Survey Tools


  • Exploratory Data Analysis
  • Descriptive Analysis of Statistics
  • Data Description Report


  • Data Definition Files
  • Assessing Data Quality
  • Identifying and Handling Missing Data
  • Applying Business Rules to Data Quality
  • More Data Preparation Techniques
  • Documenting Assumptions and Rationale for Data Selection
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