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 organization’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 recognize 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 organization. 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.

This 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.

By the end of the course, you‘ll be able to…

• Recognize 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
• Utilize 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

• Data analysts
• Business intelligence analysts
• Data visualizers
• 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

• The Analytics Process Model
• Understand the Organization and Define the Problem
• Research Designs and Data Collection Methods
• Planning the Data Collection Project
• Sampling
• Exploratory Research: Secondary Data
• Exploratory Research: Interviews
• Descriptive Research: Surveys
• Exploratory Data Analysis
• Preparing the Data