Data Journalism lecture - Week 2: Finding Data
Lecture date: 16 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Data Journalism lecture - Week 5: Storytelling with Data
Lecture date: 7 Oct 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
COMEX2017 Smart Talks by Amjid Ali , Muscat, Oman. Covering Introduction to big data, Big Data Definitions, Big Data Revolution, Big Data Timeline, Hadoop and Map Reduce covers importance of storage and DNA, Oceanstore 9000, Microsoft R, Spark,
Data Science is the Sexiest job in 21st century. Big Data Concept is going to rule the 21st century. Here is the presentation to give complete information and overview of data science big data.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
Jon Woodward - MSFT
Dave Coplin - MSFT
Mike Bugembe - JustGiving
Gary Richardson - KPMG
Data Journalism lecture - Week 5: Storytelling with Data
Lecture date: 7 Oct 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
COMEX2017 Smart Talks by Amjid Ali , Muscat, Oman. Covering Introduction to big data, Big Data Definitions, Big Data Revolution, Big Data Timeline, Hadoop and Map Reduce covers importance of storage and DNA, Oceanstore 9000, Microsoft R, Spark,
Data Science is the Sexiest job in 21st century. Big Data Concept is going to rule the 21st century. Here is the presentation to give complete information and overview of data science big data.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
Jon Woodward - MSFT
Dave Coplin - MSFT
Mike Bugembe - JustGiving
Gary Richardson - KPMG
This presentation talks about basic principle and techniques of social media analytics. Covering basic data representation of social media, content analysis and network data analysis
Les réseaux sociaux et les relations presse ...benfox
Les réseaux sociaux et les relations presse : amis ou ennemis ?
Les relations presse évoluent et intègrent de plus en plus les réseaux sociaux.
Ce document donne un bref aperçu de la problématique.
This eBook outlines the various types of data and explores the future of data analytics with a particular leaning towards unstructured data, both human and machine-generated.
Slides for the webredacteuren meeting op june 28th 2011: http://www.webredacteuren.com/2011/06/kennissessie-3-doelgroepen-en-personas/
From time to time I am organizing an open workshop. Somewhere between Amsterdam and Düsseldorf:
Deutsch / German
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-deutsch.html
Nederlands/Dutch
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-nederlands.html
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.
Les Fake News, nouveau visage de la desinformationwallace04
Ce document présente l'analyse du concept de Fake news en rapport avec la désinformation en ligne. Il fait aussi le point sur les caractéristiques, les mobiles de l'usage de cette pratique informationnelle. Ensuite, l’étude un diagnostic de la diffusion des Fake news en République du Congo et propose des pistes de solutions pour mieux sensibiliser le public.
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...Edureka!
** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science for Beginners" PPT talks about the basic concepts of Data Science, which includes machine learning algorithms as well as the roles & responsibilities of a Data Scientist. It also includes a demo using R Studio, that attempts to make sense of all the Data generated in the real world. This PPT talks about the most crucial aspects of data science and covers the following topics:
Why Data Science?
What is Data Science?
Who is a Data Scientist?
What does a Data Scientist do?
How to solve a problem in Data Science?
Data Science Tools
Demo
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete YouTube playlist here: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
For #IUday, Filippo Menczer presents research on online misinformation from the Center for Complex Networks and Systems Research, IU School of Informatics and Computing, and IU Network Science Institute. Watch the Facebook Live talk at https://www.facebook.com/fil.menczer/posts/10108970712372359
Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
This presentation talks about basic principle and techniques of social media analytics. Covering basic data representation of social media, content analysis and network data analysis
Les réseaux sociaux et les relations presse ...benfox
Les réseaux sociaux et les relations presse : amis ou ennemis ?
Les relations presse évoluent et intègrent de plus en plus les réseaux sociaux.
Ce document donne un bref aperçu de la problématique.
This eBook outlines the various types of data and explores the future of data analytics with a particular leaning towards unstructured data, both human and machine-generated.
Slides for the webredacteuren meeting op june 28th 2011: http://www.webredacteuren.com/2011/06/kennissessie-3-doelgroepen-en-personas/
From time to time I am organizing an open workshop. Somewhere between Amsterdam and Düsseldorf:
Deutsch / German
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-deutsch.html
Nederlands/Dutch
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-nederlands.html
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.
Les Fake News, nouveau visage de la desinformationwallace04
Ce document présente l'analyse du concept de Fake news en rapport avec la désinformation en ligne. Il fait aussi le point sur les caractéristiques, les mobiles de l'usage de cette pratique informationnelle. Ensuite, l’étude un diagnostic de la diffusion des Fake news en République du Congo et propose des pistes de solutions pour mieux sensibiliser le public.
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...Edureka!
** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science for Beginners" PPT talks about the basic concepts of Data Science, which includes machine learning algorithms as well as the roles & responsibilities of a Data Scientist. It also includes a demo using R Studio, that attempts to make sense of all the Data generated in the real world. This PPT talks about the most crucial aspects of data science and covers the following topics:
Why Data Science?
What is Data Science?
Who is a Data Scientist?
What does a Data Scientist do?
How to solve a problem in Data Science?
Data Science Tools
Demo
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete YouTube playlist here: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
For #IUday, Filippo Menczer presents research on online misinformation from the Center for Complex Networks and Systems Research, IU School of Informatics and Computing, and IU Network Science Institute. Watch the Facebook Live talk at https://www.facebook.com/fil.menczer/posts/10108970712372359
Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Create Promote Repeat: 5 Steps To Cross-Platform Content MarketingRallyverse
Every great content marketing program starts with your owned, original content. The tricky part is, of course, creating that owned, original content -- and scaling it across multiple platforms.
Especially when you don’t have a big budget or team.
We can help.
We’re a small company, but we’ve got a formula for consistently creating and scaling content. And serving it up for your community and customers to consume again and again.
Brief presentation on social media conversations at the 4th Research Data Alliance (RDA) Plenary. Amsterdam, Sept. 21-24, 2014.
For more information see https://rd-alliance.org/plenary-meetings/fourth-plenary/communications-social-media.html
Linked data in the digital humanities skills workshop for realising the oppo...jodischneider
This workshop will introduce participants to Linked Data, a key semantic web technology, and its uses in the digital humanities. Through examples of Linked Data websites and applications, we will explore how Linked Data is being used by individual digital humanities scholars, by organisations such as the BBC and the Central Statistics Office, and by cultural heritage institutions worldwide. We will make comparisons to other approaches to structuring data (including markup and metadata approaches such as TEI and XML) and discuss best practices for creating and reusing Linked Data (such as the importance of identifiers and standard vocabularies). Participants will also be introduced to tools for creating and exploring Linked Data. The workshop will also include a hands-on exercise in creating Linked Data.
Linked Data in the Digital Humanities was a Skills Workshop
http://dri.ie/skills-workshops
part of Realising the Opportunities of Digital Humanities
http://dri.ie/realising-opportunities-digital-humanities
Presenters: Jodi Schneider and Michael Hausenblas
with support from
Stefan Decker, Nuno Lopes, and Bahareh Heravi
all of the Digital Enterprise Research Institute, National University of Ireland Galway
Presented at the Workshop on the Potential of Social Media Tools and Data in the News Media Industry (SocMedNews) of the 6th International Conference on Weblogs and Social Media (ICWSM 12).
Protein-Protein Interaction using SVM based kernel,Jacob Coefficient and Gene...Ronak Shah
Protein-Protein interactions discovered by the existing high-throughput techniques contain very high amount of false positives. Here we present an SVM based approach to generate a model that is built on sequence and non-sequence based information of the interacting proteins. This model is used to assess the reliability of given protein-protein interactions. It was run on the interaction data of a pathogenic bacterium; Treponema pallidum (causes Syphilis in humans) obtained from Yeast two hybrid experiments. Various kernels were used for building the model and of all, Sigmoid kernel performed well when used with all the features combined with area under the receiver operating curve (ROC) as 0.53.
Leveraging Wikipedia-based Features for Entity Relatedness and RecommendationsNitish Aggarwal
This presentation describes three contributions of my PhD work:
1. Distributional Semantics for Entity Relatedness (DiSER)
2. Wikipedia Features for Entity Recommendations (WiFER)
3. Non-Orthogonal Explicit Semantic Analysis (NESA) for Word Relatedness
Further, it presents some of our work in collaboration with IBM Watson and Yahoo Research.
A podium abstract presented at AMIA 2016 Joint Summits on Translational Science. This discusses Data Café — A Platform For Creating Biomedical Data Lakes.
El impacto de open data en el mundo y en Venezuela. Profesora Maria Esther Vidal. Universidad Simón Bolivar. Presentacion realizada durante el boot camp sobre periodismo de datos-Venezuela.
For our September 19th lecture... Tim Berners-Lee's 5-Star Open Data scheme.
Who is Tim Berners-Lee? What is the 5-Star Open Data scheme? We will be giving an introduction to open data and how to apply the 5-Star Open Data scheme to an open data program.
Briefing on US EPA Open Data Strategy using a Linked Data Approach3 Round Stones
An overview presented by Ms. Bernadette Hyland on 18-Nov 2014 on the US EPA Open Data strategy, focusing on the Resource Conservation & Recovery Act (RCRA) dataset to be published as linked data . This work is in support of Presidential Memorandum M13-13 - Open Data Policy and Managing Information as an Asset.
Data Journalism lecture - Week 11: Newsroom Statistics
Lecture date: 18 Nov 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Data Journalism - Data Visualisation with MapsBahareh Heravi
Data Journalism lecture - Week 10: Data Visualisation with Maps
Lecture date: 11 Nov 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Data Journalism lecture - Week 9: Social Data Visualisation
Lecture date: 4 Nov 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Data Journalism lecture - Week 8: Cleaning Data
Lecture date: 28 Oct 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Data Journalism - Data Mashing and SummarisationBahareh Heravi
Data Journalism lecture - Week 4: Data Mashing and Summarisation
Lecture date: 30 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Data Journalism lecture - Week 3: Start working with Data - Spreadsheets, basic newsroom math.
Lecture date: 23 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
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.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
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.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
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