Data Literacy -- Necessity and challengesSrdjan Verbić
Technology can't help us in understanding data. Who needs the most data literacy competences: policy makers, journalists, doctors, patients or civil sector activists?
INDIAN STATISTICAL INSTITUTE
Documentation Research & Training Centre
8th Mile, Mysore Road, RVCE Post
Bangalore-560 059
DRTC Seminar- 5
2014
Data Literacy
ABSTRACT
In our increasingly data-driven society, data literacy is an important civic skill which we should be developing in our society. Data is slowly but steadily forcing their way into the societies. Data literacy may seem less technical than either Computer Science or any other fields. Still we need to envisage a wide variety of tools for accessing, converting and manipulating data. These require to understand relational databases (like MS Access), data manipulation techniques, statistical software tools (like Minitab, SPSS, STATA and MS Excel) and data representation software tools (like MS PowerPoint and MS Excel). This seminar includes an introduction on data literacy, its inter-relationship with information literacy and statistical literacy. It also includes various steps for working with data followed by short demonstration of data analysis techniques by using the software STATA11.
Speaker: Jayanta Kr. Nayek
Date:29 .10.2014. Time: 2 p.m.
Venue: DRTC, ISI Bangalore.
All are cordially invited.
Seminar Coordinator
Biswanath Dutta
How to champion data literacy and teach data as a second language to enable data-driven business.
Imagine an organization where the marketing department speaks French, the product designers speak German, the analytics team speaks Spanish and no one speaks a second language. Even if the organization was designed with digital in mind, communicating business value and why specific technologies matter would be impossible.
That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business.
By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value
... so how best to start in Data Literacy? This presentation will answer that.
Data Literacy -- Necessity and challengesSrdjan Verbić
Technology can't help us in understanding data. Who needs the most data literacy competences: policy makers, journalists, doctors, patients or civil sector activists?
INDIAN STATISTICAL INSTITUTE
Documentation Research & Training Centre
8th Mile, Mysore Road, RVCE Post
Bangalore-560 059
DRTC Seminar- 5
2014
Data Literacy
ABSTRACT
In our increasingly data-driven society, data literacy is an important civic skill which we should be developing in our society. Data is slowly but steadily forcing their way into the societies. Data literacy may seem less technical than either Computer Science or any other fields. Still we need to envisage a wide variety of tools for accessing, converting and manipulating data. These require to understand relational databases (like MS Access), data manipulation techniques, statistical software tools (like Minitab, SPSS, STATA and MS Excel) and data representation software tools (like MS PowerPoint and MS Excel). This seminar includes an introduction on data literacy, its inter-relationship with information literacy and statistical literacy. It also includes various steps for working with data followed by short demonstration of data analysis techniques by using the software STATA11.
Speaker: Jayanta Kr. Nayek
Date:29 .10.2014. Time: 2 p.m.
Venue: DRTC, ISI Bangalore.
All are cordially invited.
Seminar Coordinator
Biswanath Dutta
How to champion data literacy and teach data as a second language to enable data-driven business.
Imagine an organization where the marketing department speaks French, the product designers speak German, the analytics team speaks Spanish and no one speaks a second language. Even if the organization was designed with digital in mind, communicating business value and why specific technologies matter would be impossible.
That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business.
By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value
... so how best to start in Data Literacy? This presentation will answer that.
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.
Data analytics presentation- Management career institute PoojaPatidar11
1. The basic definition of Data, Analytics, and Data Analytics
2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc
Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
Prescriptive Analytics (What should we do)
Descriptive Analytics (What has happened?)
4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities
10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
11. Data analytics tools
1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets.
2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
and has a powerful library for data manipulation and analysis.
4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
This is a presentation I gave on Data Visualization at a General Assembly event in Singapore, on January 22, 2016. The presso provides a brief history of dataviz as well as examples of common chart and visualization formatting mistakes that you should never make.
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
Just finished a basic course on data science (highly recommend it if you wish to explore what data science is all about). Here are my takeaways from the course.
A deep dive in data visualization covering some handful tools like Advance excel, Tableau, Qliksense etc.
You can add more content like discussing Google API, Perception and cognition theory,some more readable formats for data visualization and its framework.
There is much more to becoming truly data driven. Overcoming the “Data Chaos” means democratizing knowledge through collaboration, promoting data literacy and building your data culture. The aim of this session is to help enrich your data strategy and enable your organization to make better use of your data assets.
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.
Data analytics presentation- Management career institute PoojaPatidar11
1. The basic definition of Data, Analytics, and Data Analytics
2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc
Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
Prescriptive Analytics (What should we do)
Descriptive Analytics (What has happened?)
4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities
10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
11. Data analytics tools
1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets.
2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
and has a powerful library for data manipulation and analysis.
4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
This is a presentation I gave on Data Visualization at a General Assembly event in Singapore, on January 22, 2016. The presso provides a brief history of dataviz as well as examples of common chart and visualization formatting mistakes that you should never make.
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
Just finished a basic course on data science (highly recommend it if you wish to explore what data science is all about). Here are my takeaways from the course.
A deep dive in data visualization covering some handful tools like Advance excel, Tableau, Qliksense etc.
You can add more content like discussing Google API, Perception and cognition theory,some more readable formats for data visualization and its framework.
There is much more to becoming truly data driven. Overcoming the “Data Chaos” means democratizing knowledge through collaboration, promoting data literacy and building your data culture. The aim of this session is to help enrich your data strategy and enable your organization to make better use of your data assets.
Data vs Hunch - Beyond Lecture at Hyper Island 2015Beyond
How do you strike a balance between data and creative hunch in a digital marketing world obsessed with metrics and ROI? Slides from a session with the Hyper Island Digital Data Strategy class of 2015, at the school's Stockholm campus.
How do you strike a balance between data and creative hunch in a digital marketing world obsessed with metrics and ROI? Slides from a session with the Hyper Island Digital Data Strategy class of 2015, at the school's Stockholm campus.
Throughout the lockdowns, the internet saw a surge in search volume on self-development and distance learning. The term “practical skills” was thrown around haphazardly, which kind of made me look further than the google search could provide.
It’s December 2020. We all have been through a tough year. In recognition of the sacrifices made in these difficult times, I only want to say, “well done!”.
Moving on from that point, 2021 is right on our doorstep. A NEW YEAR means new challenges and new opportunities to overcome them. I don’t believe there is a better way to prepare for this than to consciously develop a unique skill that adds value to you as an individual. With that in mind, I wanted to take a look at what practical skills are and which ones you can benefit the most from.
The "Pipeline Problem" and Other Myths About Workplace DiversityAtlassian
If you're having a hard time filling your hiring pipeline with a diverse mix of candidates, you're not alone. You're also not looking in the right places. The so-called "pipeline problem" is a convenient scapegoat for tech's slow progress on the diversity front, but it's nothing more than a cop-out and a myth.
Companies that get serious about installing the right "plumbing" find that their pipeline problems disappear rather quickly. (Fancy that!) In this talk, you'll learn how to start attracting and seeking out talent that represents the makeup of the communities where you live and operate. You'll also learn how to build a culture were diverse employees can find a sense of belonging and bring their full selves to the table.
Your responses to your classmates must be substantive. Share ide.docxbunyansaturnina
Your responses to your classmates must be substantive. Share ideas, explore differences, and think critically about your classmates’ posts. Bring in information from your textbook, classroom resources or other credible sources that you find to contribute to the discussion. You are invited to share relevant audio, video, or images in your responses. You must cite and reference any sources you use, even in your responses to your classmates.
PEER RESPONSE:
Information literacy is a collection of skills that requires people to recognize when data is required and effectively find, analyze, and use that information. Information literacy is an essential life skill we all acquire. It involves evaluating the credibility of the sources if there is more reading or information to seek, asking who the author is, and other such information.
Concepts
Information literacy is described as the ability to recognize a need for information and locate, analyze, and use that knowledge morally and responsibly for a specific purpose. Knowledge literacy, on the other hand, is essential in every area of life. Being knowledge literate will assist you in conducting analysis, identifying appropriate sources for determining and comparing goods objectively to discover the excellent value, and problem-solving creatively (Thompson, 2007).
Concepts
1
.
Research as inquiry
: Asking questions is at the heart of the research process. Solid research queries are fluid, changing in response to the findings of the research background. The value of the theoretical framework should improve as our knowledge of the research subject develops.
Scholarship as conversation:
Experts in a field collaborate to exchange knowledge, discuss concepts, and better understand the subject matter. They often debate each other's ideas and seek other researchers' perspectives in their fields to put their theories to the test.
Information creation as a process
: Because of the intent of its layout, information is displayed in a variety of formats. It will be easier to choose suitable sources if you consider the method of information type development (Thompson, 2007).
Need for information literacy for college student
Information literacy helps me keep up with the ever-changing information landscape. It will help me verify and vet the correct data to look for or the most suitable sources to use. The skills I have obtained are essential in determining when I need information, analyze it, evaluate, and have courage in my ability to use the information creatively, effectively, and ethically. The skills will help me in seeking out opportunities to learn new things (Lloyd & Williamson, 2008).
Application to personal or professional life
Information literacy and concepts can produce "employees who can recognize and understand the central place. It helps in the integration and uses a variety of information from diverse print and digital sources. I will use the skills in the analysis of the inform.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
Information Outlook Journey Mapping Article - "Connecting People To Other Peo...Riche Zamor
Understanding how people share knowledge with others is critical to implementing an effective content strategy in your organization. Journey mapping is an exercise that can help you to understand the various ways in which people share knowledge within your organization, and develop tools, processes, and content to make communication more effective and efficient.
This presentation is related to my final year project - "Detection of Bots on Twitter". The project aims in classifying a Twitter user into "bot" or "human" with the help of machine learning and developing a real time web application.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
3. Definition
Literacy can be defined as
the ability to derive
information from written
words.
Data Literacy can be defined
as the ability to derive
meaningful information from
data and argue with data.
Let's broaden the above
definition and really
understand what data
literacy is!
4. Are you as curious as George!
Reading and Understanding (Ask Questions)
Is it relevant ? Is it correct?
Should we go with the face value?
Writing and Discovery (Look at data &
produce solutions)
More brains looking at data more varied solutions
Curiosity and CriticalThinking (Critical Eye
towards the answer provided for the
question asked)
Inclination towards asking questions,
What question to ask,
Critical eye towards the answer provided and
its usefulness
5. Do you trust your data ?
Data Literacy is the ability to
question if my data is accurate.
Data Literacy is the ability to
question if my data is useful.
6. Do you trust what you see ?
Data Literacy is the ability to
understand how aggregations
were calculated.
Data Literacy is the ability to
understand basic statistics.
7. Do you trust what you create ?
Data Literacy is the ability to use
facts to communicate complex
ideas - without misleading the
audience.
Data Literacy is the ability to use
all the facts, including missing
data.
12. It’s a Top-Down Change
The data literacy
initiative needs to start
from the top of the
corporate chain, for
impact and boarder
coverage of its
importance and
understanding.
Educational programs
are needed for data
literacy to drive the
change.
13. Challenges
Dismiss data because they are
unable to comprehend it
Cultural challenge
Complexity (human thinking)
No common language
14. Data – A Common Language
New language we all
need to be fluent in.
Data is a language that
anyone can learn to read
and speak.
Start seeing data as the
beginning of the
conversation, not the
end.
Engaging thoughtful
dialogue.
Seeing data and deciding
what’s next !
16. Few Thoughts...
Data literacy isn't just about
visualizing charts or
understanding charts
Its much broader than that
..how we think about data that
is necessary,
then its all about people and
not about technology or data
science, it is how we uncover
the curiosity and ability to ask
the required questions
