Visualisation & Storytelling in Data Science & AnalyticsFelipe Rego
This is a presentation I put together for a talk I gave a while back on data visualisation and storytelling in the context of data science and analytics. The content was a produced from a mix of my own experience in industry and teaching at various schools and also from the work of Edward Tufte, Nathan Yau, Angela Zoss, Peter Beshai, Mike Bostock, among others. I wanted to highlight some basic concepts of what data visualisation is and what are some of the fundamental steps I believe are important in creating analytical dashboards and visualisations. It also contains a bunch of visualisation examples that I find interesting in telling a story with data.
Visualisation & Storytelling in Data Science & AnalyticsFelipe Rego
This is a presentation I put together for a talk I gave a while back on data visualisation and storytelling in the context of data science and analytics. The content was a produced from a mix of my own experience in industry and teaching at various schools and also from the work of Edward Tufte, Nathan Yau, Angela Zoss, Peter Beshai, Mike Bostock, among others. I wanted to highlight some basic concepts of what data visualisation is and what are some of the fundamental steps I believe are important in creating analytical dashboards and visualisations. It also contains a bunch of visualisation examples that I find interesting in telling a story with data.
Presentation delivered by Ludo Hendrickx and Joris Beek on 11 December 2013 Dutch at the Ministry of Interior, The Hague, The Netherlands. More information on: https://joinup.ec.europa.eu/community/ods/description
An overview on FAIR Data and FAIR Data stewardship, and the roadmap for FAIR Data solutions coordinated by the Dutch Techcentre for Life Sciences. This presentation was given at the Netherlands eScience Center's "Essential skills in data-intensive research" course week.
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Data Quality as a prerequisite for you business success: when should I start ...Anastasija Nikiforova
These are slides for my talk "Data Quality as a prerequisite for you business success: when should I start taking care of it?" I delivered as an invited keynote for HackCodeX Forum that gathered international experts to share their experience and knowledge on the emerging technologies and areas such as Artificial Intelligence, Security, Data Quality, Quantum Computing, Sustainability, Open Data, Privacy etc.
Uma introdução à malha de dados e as motivações por trás dela: os modos de falhas de paradigmas anteriores de gerenciamento de big data. A proposta de Zhamak Dehghani é comparar e contrastar a malha de dados com as abordagens existentes de gerenciamento de big data, apresentando os componentes técnicos que sustentam a arquitetura de software.
Data Quality: A Raising Data Warehousing ConcernAmin Chowdhury
Characteristics of Data Warehouse
Benefits of a data warehouse
Designing of Data Warehouse
Extract, Transform, Load (ETL)
Data Quality
Classification Of Data Quality Issues
Causes Of Data Quality
Impact of Data Quality Issues
Cost of Poor Data Quality
Confidence and Satisfaction-based impacts
Impact on Productivity
Risk and Compliance impacts
Why Data Quality Influences?
Causes of Data Quality Problems
How to deal: Missing Data
Data Corruption
Data: Out of Range error
Techniques of Data Quality Control
Data warehousing security
Researching for Sources & Gathering Supporting Material for a Public SpeechWafi Badji
Communication Practices Presentation
Topic: How to search for sources and gather supporting material for different types of public speaking.
Presented by Adjabi D.R., Badji W., Brahmia R., and Zerdoudi R.
University of 8 Mai 1945 - Guelma
Department of English
Presentation delivered by Ludo Hendrickx and Joris Beek on 11 December 2013 Dutch at the Ministry of Interior, The Hague, The Netherlands. More information on: https://joinup.ec.europa.eu/community/ods/description
An overview on FAIR Data and FAIR Data stewardship, and the roadmap for FAIR Data solutions coordinated by the Dutch Techcentre for Life Sciences. This presentation was given at the Netherlands eScience Center's "Essential skills in data-intensive research" course week.
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Data Quality as a prerequisite for you business success: when should I start ...Anastasija Nikiforova
These are slides for my talk "Data Quality as a prerequisite for you business success: when should I start taking care of it?" I delivered as an invited keynote for HackCodeX Forum that gathered international experts to share their experience and knowledge on the emerging technologies and areas such as Artificial Intelligence, Security, Data Quality, Quantum Computing, Sustainability, Open Data, Privacy etc.
Uma introdução à malha de dados e as motivações por trás dela: os modos de falhas de paradigmas anteriores de gerenciamento de big data. A proposta de Zhamak Dehghani é comparar e contrastar a malha de dados com as abordagens existentes de gerenciamento de big data, apresentando os componentes técnicos que sustentam a arquitetura de software.
Data Quality: A Raising Data Warehousing ConcernAmin Chowdhury
Characteristics of Data Warehouse
Benefits of a data warehouse
Designing of Data Warehouse
Extract, Transform, Load (ETL)
Data Quality
Classification Of Data Quality Issues
Causes Of Data Quality
Impact of Data Quality Issues
Cost of Poor Data Quality
Confidence and Satisfaction-based impacts
Impact on Productivity
Risk and Compliance impacts
Why Data Quality Influences?
Causes of Data Quality Problems
How to deal: Missing Data
Data Corruption
Data: Out of Range error
Techniques of Data Quality Control
Data warehousing security
Researching for Sources & Gathering Supporting Material for a Public SpeechWafi Badji
Communication Practices Presentation
Topic: How to search for sources and gather supporting material for different types of public speaking.
Presented by Adjabi D.R., Badji W., Brahmia R., and Zerdoudi R.
University of 8 Mai 1945 - Guelma
Department of English
In the research process you will encounter many types of resources including books, articles and websites. But not everything you find on your topic will be suitable. How do you make sense of what is out there and evaluate its authority and appropriateness for your research?
Communicating science: tips and tricks for students Sarah Keenihan
The University of Adelaide runs a winter school in science communication for undergrad and postgrad science students. I spoke to the group about how I use social media to support my career as a freelance science writer.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
2. Learning Outcomes
After this presentation, you’ll learn:
• How to define scholarly sources
• How to define popular sources
• Differentiate between popular and scholarly sources
• Evaluate sources using the CRAAP test
3. Defined
Scholarly
A scholarly source is one in
which the content is written by
experts in a particular field of
study. The target audience are
usually other experts in the
field, as well as students who
are studying the field.
Popular
Popular sources are written for a
general audience, usually for
entertainment. Popular sources
don’t require expertise in the
field to understand the
information.
4. Popular Sources
Might have:
• Many ads
• Photographs or illustrations
• May not include references or citations
• Includes authors, journalists or
freelance writers
Examples:
• Magazines
• Social Media
• Newspapers
Audrey Hepburn TIME Magazine. 1953.
5. Scholarly Sources
Might have:
• Few to no ads
• Charts and graphs
• Includes references, notes, and
cited works
• Include authors with affiliations
Examples:
• Academic Journals
• Peer-reviewed articles
6. Why are Popular Sources Published?
• To entertain
• To express an opinion
• To inform a broad audience
7. Why are Scholarly Sources Published?
• To report on research
• To review and critique previous research
• To contribute to the scholarly conversation
8. When Should You Use Popular Sources?
• When you know nothing about your topic
• To build a background for your topic
• When your professor explicitly says you can
9. When Should You Use Scholarly Sources?
• To support an argument in a research paper
• When you want to delve deeper into a topic of interest
• To stay up to date with current research on your topic
11. Oh CRAAP - Video
• https://youtu.be/2U3dkTLjuvE
12. Things to Consider
• C - Currency: When was the information published or posted? Is it
current or did it get published more than 10 years ago?
• R - Relevancy: Does the information relate to your topic or answer
your question?
• A - Authority: Who is the author/publisher/source/sponsor? Is the
author qualified to write on the topic?
• A - Accuracy: Is the information supported by evidence or facts?
• P - Purpose: What is the purpose of the information? Is it to
inform, teach, sell, entertain or persuade?
Notes to presenter:
Description of what you learned in your own words on one side.
Include information about the topic
Details about the topic will also be helpful here.
Tell the story of your learning experience. Just like a story there should always be a beginning, middle and an end.
On the other side, you can add a graphic that provides evidence of what you learned.
Feel free to use more than one slide to reflect upon your process. It also helps to add some video of your process.
Notes to presenter:
What is your purpose for sharing this reflection?
Is it at the end of a unit or project?
Are you sharing this reflection, at the attainment of a learning goal you set for yourself?
Is it at the end of a course?
State your purpose for the reflection or even the purpose of the learning experience or learning goal. Be clear and be specific in stating your purpose.
Notes to presenter:
What is your purpose for sharing this reflection?
Is it at the end of a unit or project?
Are you sharing this reflection, at the attainment of a learning goal you set for yourself?
Is it at the end of a course?
State your purpose for the reflection or even the purpose of the learning experience or learning goal. Be clear and be specific in stating your purpose.