Data presentation in statistics is done using tables, charts, diagrams, or graphs and is part of the data analysis and reporting phase of the data analysis life cycle. Visual data presentation helps data analysists identify and understand relationships between and within data sets to inform science-based decision making. This post constitutes Lesson 2 of the Basic […]
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Data collection in statistics is a process of gathering information from the relevant sources to find a solution to a research problem. Data analysts gather data from primary and secondary sources to help them find an answer to a data-related business question (e.g., what was the percentage of sales change over the past six months?).
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Coursera Google Data Analytics Professional Certificate Course 1 – Foundations: Data, Data, Everywhere Cliffs Notes covered here: By completing the five-week Coursera Google Data Analytics Professional Certificate course Foundations: Data, Data, Everywhere you will: Modules covered in this course You may also be interested in Google Data Analytics Professional Certificate quiz answers. Google Data Analytics
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Digital Transformation and Innovation (DTI) courses are professional development courses designed for graduate students, academics, and business professionals and focus on equipping learners with the necessary skills and knowledge foundations for succeeding in today’s knowledge society. IT Career Planning IT career paths – everything you need to know How to plan, kick-start, and level up
Learn how to apply the five main ethical decision-making theories to do the right thing: deontology (duty), rights, virtue, utilitarianism, and pragmatism. Normative ethics is concerned with the standards and principles used to determine whether an act is right (or good) or wrong (or bad), that is, the study of ethical action. Normative ethics is
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This post offers a brief introduction to three important predictive analytics application areas – customer analytics, operational analytics, and threat and fraud analytics. Further, the four key steps of the predictive analytics process are outlined. You may also be interested in What is data mining? Three important application areas of predictive analytics This section outlines
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This post introduces decision tree for classification problems. A decision tree is a representation for classifying instances. Decision tree learning is one of the most successful techniques for supervised classification learning. You may also be interested in What is data mining? Introduction to decision tree for classification problems The simplest decision tree has only one test
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This post outlines five core skill areas of a data analyst. Data analytics is “the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.” A data analyst has three core roles: “The data analyst is generally someone who works with SQL, spreadsheets, and databases, might work
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