Data Analysis Methods and Techniques
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Course Details
- Introduction
- Objective
- Who should attend
Data analysis is the process of collecting, modelling, and analyzing data to extract insights that support decision-making. There are several methods and techniques to perform analysis depending on the industry and the aim of the analysis.
Data analysis, therefore, is a necessity for making well-informed and efficient decisions. Data analysis is what helps organizations determine their positions in the market relative to competitors.
Data Analysis Techniques training course will give you broad exposure to key technologies and skills currently used in data analytics and data science, its aim to provide those involved in analysing numerical data with the understanding and practical capabilities needed to convert data into information via appropriate analysis, and then represent these results in ways that can be readily communicated to others in the organisation.
Course Outline
The Basics
- Sources of data, data sampling, data accuracy, data completeness, simple representations, dealing with practical issues.
Fundamental Statistics
- Mean, average, median, mode, rank, variance, covariance, standard deviation, “lies, more lies and statistics”, compensations for small sample sizes, descriptive statistics, insensitive measures.
Course Video
