EDF Data Literacy Professional Courseware


Book Description

In order to leverage data, decision makers and management have to base their decisions on the vast amounts of information being collected and generated nowadays. Understanding data requires a set of skills that are easy to learn, but in general are far from intuitive. None of us are born with the capacity to understand data: it is a human abstract construct, so we all need to learn how to work with it. How data can be leveraged, what the common pitfalls are and how data can often be misinterpreted are all crucial pieces of knowledge for all modern business professionals, particularly those in management. It is a misconception that humans no longer have a role to play and that data can make the decisions for us. However, in the foreseeable future, data-guided decisions will be the norm rather than the exception. The EDF Certification recognizes the awareness and understanding of the components of data literacy and how to foster its adoption and application for the benefit of everybody who needs to make decisions based on data. The EDF Certification is achieved through an exam which demonstrates that a participant: Understands what data is and isn’t; Is aware of the questions that need answered whenever you receive some data; Understands how to summarize data in the correct way; Is aware of the main processes involved from data origins through to usage; Understands what data quality is; Understands how to use data in order to measure performance; Is aware of the impact of our expectations on data analysis; Understands the main human biases involved in data analysis; Is aware of the principal types of data analysis; Understands the impact of context on analysis; Understands how to apply storytelling principles to data arguments.




EDF Data Literacy Professional Courseware


Book Description

''In order to leverage data, decision makers and management have to base their decisions on the vast amounts of information being collected and generated nowadays. Understanding data requires a set of skills that are easy to learn, but in general are far from intuitive. None of us are born with the capacity to understand data: it is a human abstract construct, so we all need to learn how to work with it. How data can be leveraged, what the common pitfalls are and how data can often be misinterpreted are all crucial pieces of knowledge for all modern business professionals, particularly those in management. It is a misconception that humans no longer have a role to play and that data can make the decisions for us. However, in the foreseeable future, data-guided decisions will be the norm rather than the exception. The EDF Certification recognizes the awareness and understanding of the components of data literacy and how to foster its adoption and application for the benefit of everybody who needs to make decisions based on data. The EDF Certification is achieved through an exam which demonstrates that a participant: *Understands what data is and isn''t; *Is aware of the questions that need answered whenever you receive some data; *Understands how to summarize data in the correct way; *Is aware of the main processes involved from data origins through to usage; *Understands what data quality is; *Understands how to use data in order to measure performance; *Is aware of the impact of our expectations on data analysis; *Understands the main human biases involved in data analysis; *Is aware of the principal types of data analysis; *Understands the impact of context on analysis; *Understands how to apply storytelling principles to data arguments. t of everybody who needs to make decisions based on data. The EDF Certification is achieved through an exam which demonstrates that a participant: *Understands what data is and isn''t; *Is aware of the questions that need answered whenever you receive some data; *Understands how to summarize data in the correct way; *Is aware of the main processes involved from data origins through to usage; *Understands what data quality is; *Understands how to use data in order to measure performance; *Is aware of the impact of our expectations on data analysis; *Understands the main human biases involved in data analysis; *Is aware of the principal types of data analysis; *Understands the impact of context on analysis; *Understands how to apply storytelling principles to data arguments. t of everybody who needs to make decisions based on data. The EDF Certification is achieved through an exam which demonstrates that a participant: *Understands what data is and isn''t; *Is aware of the questions that need answered whenever you receive some data; *Understands how to summarize data in the correct way; *Is aware of the main processes involved from data origins through to usage; *Understands what data quality is; *Understands how to use data in order to measure performance; *Is aware of the impact of our expectations on data analysis; *Understands the main human biases involved in data analysis; *Is aware of the principal types of data analysis; *Understands the impact of context on analysis; *Understands how to apply storytelling principles to data arguments. t of everybody who needs to make decisions based on data. The EDF Certification is achieved through an exam which demonstrates that a participant: *Understands what data is and isn''t; *Is aware of the questions that need answered whenever you receive some data; *Understands how to summarize data in the correct way; *Is aware of the main processes involved from data origins through to usage; *Understands what data quality is; *Understands how to use data in order to measure performance; *Is aware of the impact of our expectations on data analysis; *Understands the main human biases involved in data analysis; *Is aware of the principal types of data analysis; *Understands the impact of context on analysis; *Understands how to apply storytelling principles to data arguments. stands what data is and isn''t; *Is aware of the questions that need answered whenever you receive some data; *Understands how to summarize data in the correct way; *Is aware of the main processes involved from data origins through to usage; *Understands what data quality is; *Understands how to use data in order to measure performance; *Is aware of the impact of our expectations on data analysis; *Understands the main human biases involved in data analysis; *Is aware of the principal types of data analysis; *Understands the impact of context on analysis; *Understands how to apply storytelling principles to data arguments.




EDF Data Visualization Professional Courseware


Book Description

In order to leverage data, decision makers and management need to be able to visualize the vast amount of information and data that is being collected and generated nowadays in an interactive and readable manner. People are visually orientated, this means that data visualization can be a great help in analyzing, interpreting and sharing data quickly. Visualizing data effectively, enables organizations to respond quickly to changes. Examples include customer behavior, business processes or (financial) markets information. This course is based on the standards set by Effective Data Foundation (EDF). After completing the course a delegate can become a Certified EDF Visualization Professional by passing the Certified EDF Visualization Professional exam. This is also known as the DATAVIS certification and exam. Modules included in the certification are: - Visual and quantitative thinking; - Visualizing data effectively; - Building blocks of data visualization; - Data processing & data storytelling.




Data Analysis Foundation Courseware


Book Description

This Data Analysis Foundation Courseware enable a Data Analysis Foundation course, providing a comprehensive introduction to data concepts and the essence of data analysis, subsequently delving into the fundamental principles of Data Analysis, such as statistics and probability. Moreover, this course concentrates on extensively used data analysis techniques like regression and a step-by-step guide to executing them. Data Analysis refers to the systematic application of statistical and mathematical techniques to gain insights, explore, and scrutinize data in order to identify patterns and draw meaningful conclusions that assist businesses in making informed decisions based on data. This process typically encompasses various stages, including data collection, exploration, cleansing, pre-processing, and data organization. Frequently, data analysis is an ongoing, iterative procedure wherein data is continuously collected and analyzed simultaneously. There are two primary approaches to data analysis. Quantitative techniques involve working with numerical data and employ statistical measures, percentages, and calculations. These methods utilize algorithms, mathematical analysis tools, and software to manipulate data and reveal concealed business value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product.




Structuring Learning Environments in Teacher Education to Elicit Dispositions as Habits of Mind


Book Description

This book focuses on faculty members in a learning community in the College of Education at Florida International University. It discusses their pedagogical efforts to structure learning environments consistent with the philosophical orientation in the college’s conceptual framework to call forth dispositions, or key habits of mind that are consistent with reflective intelligence.




Catalog


Book Description




The Adult Learner


Book Description

How do you tailor education to the learning needs of adults? Do they learn differently from children? How does their life experience inform their learning processes? These were the questions at the heart of Malcolm Knowles’ pioneering theory of andragogy which transformed education theory in the 1970s. The resulting principles of a self-directed, experiential, problem-centred approach to learning have been hugely influential and are still the basis of the learning practices we use today. Understanding these principles is the cornerstone of increasing motivation and enabling adult learners to achieve. The 9th edition of The Adult Learner has been revised to include: Updates to the book to reflect the very latest advancements in the field. The addition of two new chapters on diversity and inclusion in adult learning, and andragogy and the online adult learner. An updated supporting website. This website for the 9th edition of The Adult Learner will provide basic instructor aids including a PowerPoint presentation for each chapter. Revisions throughout to make it more readable and relevant to your practices. If you are a researcher, practitioner, or student in education, an adult learning practitioner, training manager, or involved in human resource development, this is the definitive book in adult learning you should not be without.




Eye-Tracking


Book Description

A broad and inclusive guide that makes eye-tracking understandable, accessible and achievable for language researchers.




Democracy and Education


Book Description

. Renewal of Life by Transmission. The most notable distinction between living and inanimate things is that the former maintain themselves by renewal. A stone when struck resists. If its resistance is greater than the force of the blow struck, it remains outwardly unchanged. Otherwise, it is shattered into smaller bits. Never does the stone attempt to react in such a way that it may maintain itself against the blow, much less so as to render the blow a contributing factor to its own continued action. While the living thing may easily be crushed by superior force, it none the less tries to turn the energies which act upon it into means of its own further existence. If it cannot do so, it does not just split into smaller pieces (at least in the higher forms of life), but loses its identity as a living thing. As long as it endures, it struggles to use surrounding energies in its own behalf. It uses light, air, moisture, and the material of soil. To say that it uses them is to say that it turns them into means of its own conservation. As long as it is growing, the energy it expends in thus turning the environment to account is more than compensated for by the return it gets: it grows. Understanding the word "control" in this sense, it may be said that a living being is one that subjugates and controls for its own continued activity the energies that would otherwise use it up. Life is a self-renewing process through action upon the environment.