This document provides guidance on how to think like a data scientist. It outlines prioritizing the most important problems, decoding the key issues, and using a structured process for data science. This includes analyzing data, asking questions to arrive at conclusions, and making observations for accurate results. Learning by doing is emphasized as the best way to apply the knowledge, such as by immediately solving real problems with real data. The document also discusses how these principles are relevant for managers in India, including understanding models, deploying hypotheses, generating data, searching for mechanisms, and ensuring reproducibility and impact.
Data science is having a growing effect on our lives, from the content we see on social media feeds to the decisions businesses are making. Along with successes, data science has inspired much hype about what it is and what it can do. So I plan to try and demystify data science and have a discussion about what it really is. What does a day-in-the-life look like? What tools and skills are needed? How is data science successfully applied in the real world? In this talk, I’ll be providing insight into these questions and also speculate the future of data science and its place in business and technology.
Presented at OpenWest 2018
Business leaders everywhere are looking to data to inform their decision making. Accompanying this demand are misunderstandings of what it takes to transform data into something that can inform a decision. What is the data infrastructure required? In this talk, I'll dispel some of these misunderstandings and discuss what it takes to build good data infrastructure. I'll discuss the components of a good data infrastructure. The best practices and available tools for gathering data, processing it, storing it, analyzing it and communicating the results. The goal is for these components to create a data infrastructure which can evolve from simple reporting to sophisticated insights for decision making.
Presented at OpenWest 2018
Analytical Skills Tools and Attitudes 2013 Survey lavastorm analyticsjjoseph100
Survey of 425 analytic professionals- those that are making big data and analytics work within organizations - to see if they have the skills needed to push analytics further and/or to identify the skills most needed and how people are developing them.
Presentation at FlowFactor 2019. Another look at the data science hierarchy of needs specifically looking at chasing Artificial Intelligence and Machine Learning.
This presentation was provided by Frankie Wilson of the Bodleian Library, University of Oxford, during the NISO Webinar, Using Analytics to Extract Value from the Library's Data, Part Two, held on September 19, 2018.
This presentation has given assistance to many students of both college and university level before and they found some pretty good and positive results after implementing these tips and techniques for their term paper writing.http://www.paperomatic.com/research-papers/
This presentation contains the key ideas from the article "Simplify your analytics strategy" by Narendra Mulani published in HBR. This presentation is a part of my internship under Prof. Sameer Mathur, IIM-L
Discussion on Transparency in data science: “Data science that provides transparency – How to clarify answers such that they become indisputable?” (session leader prof.dr.ir. Jack van Wijk)
Discussion on Accuracy in data science: “Data science without guesswork – How to answer questions with a guaranteed level of accuracy?” (session leader prof.dr. Mykola Pechenizkiy).
To future-proof responsible data science methods, foundational research is needed, and, given the complementarity of TU/e and TiU in JADS, there are great opportunities to collaborate on this theme. This was reflected by the JADS Workshop on Responsible Data Science
Measuring outcomes... or how to get meaningful metricsGino Marckx
Presented at the Lean Agile Network meetup in Toronto on November 1, 2019.
Topics:
- What can metrics do for you?
- What to be aware of?
- How can you build good metrics?
- Examples of delivery metrics
Presentation to FourthLion (my former employer) staff on some lessons learnt while doing analytics across three domains, and the motivation for automation. Data science will IMO (a) have significant growing pains (b) see evolution similar to those that we saw in software engineering.
Data science training in hyd ppt converted (1)SayyedYusufali
Data Science Online Training In HA comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.hyderabad Data Science Online Training
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Data science training in hyd pdf converted (1)SayyedYusufali
Overview of Data Science Courses Online
A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.
What You'll Learn In Data Science Courses Online
Grasp the key fundamentals of data science, coding, and machine learning. Develop mastery over essential analytic tools like R, Python, SQL, and more.
Comprehend the crucial steps required to solve real-world data problems and get familiar with the methodology to think and work like a Data Scientist.
Learn to collect, clean, and analyze big data with R. Understand how to employ appropriate modeling and methods of analytics to extract meaningful data for decision making.
Implement clustering methodology, an unsupervised learning method, and a deep neural network (a supervised learning method).
Build a data analysis pipeline, from collection to analysis to presenting data visually.
#datasciencecoursesonline
#datascience
#datasciencecourses
Data science is having a growing effect on our lives, from the content we see on social media feeds to the decisions businesses are making. Along with successes, data science has inspired much hype about what it is and what it can do. So I plan to try and demystify data science and have a discussion about what it really is. What does a day-in-the-life look like? What tools and skills are needed? How is data science successfully applied in the real world? In this talk, I’ll be providing insight into these questions and also speculate the future of data science and its place in business and technology.
Presented at OpenWest 2018
Business leaders everywhere are looking to data to inform their decision making. Accompanying this demand are misunderstandings of what it takes to transform data into something that can inform a decision. What is the data infrastructure required? In this talk, I'll dispel some of these misunderstandings and discuss what it takes to build good data infrastructure. I'll discuss the components of a good data infrastructure. The best practices and available tools for gathering data, processing it, storing it, analyzing it and communicating the results. The goal is for these components to create a data infrastructure which can evolve from simple reporting to sophisticated insights for decision making.
Presented at OpenWest 2018
Analytical Skills Tools and Attitudes 2013 Survey lavastorm analyticsjjoseph100
Survey of 425 analytic professionals- those that are making big data and analytics work within organizations - to see if they have the skills needed to push analytics further and/or to identify the skills most needed and how people are developing them.
Presentation at FlowFactor 2019. Another look at the data science hierarchy of needs specifically looking at chasing Artificial Intelligence and Machine Learning.
This presentation was provided by Frankie Wilson of the Bodleian Library, University of Oxford, during the NISO Webinar, Using Analytics to Extract Value from the Library's Data, Part Two, held on September 19, 2018.
This presentation has given assistance to many students of both college and university level before and they found some pretty good and positive results after implementing these tips and techniques for their term paper writing.http://www.paperomatic.com/research-papers/
This presentation contains the key ideas from the article "Simplify your analytics strategy" by Narendra Mulani published in HBR. This presentation is a part of my internship under Prof. Sameer Mathur, IIM-L
Discussion on Transparency in data science: “Data science that provides transparency – How to clarify answers such that they become indisputable?” (session leader prof.dr.ir. Jack van Wijk)
Discussion on Accuracy in data science: “Data science without guesswork – How to answer questions with a guaranteed level of accuracy?” (session leader prof.dr. Mykola Pechenizkiy).
To future-proof responsible data science methods, foundational research is needed, and, given the complementarity of TU/e and TiU in JADS, there are great opportunities to collaborate on this theme. This was reflected by the JADS Workshop on Responsible Data Science
Measuring outcomes... or how to get meaningful metricsGino Marckx
Presented at the Lean Agile Network meetup in Toronto on November 1, 2019.
Topics:
- What can metrics do for you?
- What to be aware of?
- How can you build good metrics?
- Examples of delivery metrics
Presentation to FourthLion (my former employer) staff on some lessons learnt while doing analytics across three domains, and the motivation for automation. Data science will IMO (a) have significant growing pains (b) see evolution similar to those that we saw in software engineering.
Data science training in hyd ppt converted (1)SayyedYusufali
Data Science Online Training In HA comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.hyderabad Data Science Online Training
#datascienceonlinetraininginhyderabad
#datascienceonline
#datascienceonlinetraining
#datascience
Data science training in hyd pdf converted (1)SayyedYusufali
Overview of Data Science Courses Online
A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.
What You'll Learn In Data Science Courses Online
Grasp the key fundamentals of data science, coding, and machine learning. Develop mastery over essential analytic tools like R, Python, SQL, and more.
Comprehend the crucial steps required to solve real-world data problems and get familiar with the methodology to think and work like a Data Scientist.
Learn to collect, clean, and analyze big data with R. Understand how to employ appropriate modeling and methods of analytics to extract meaningful data for decision making.
Implement clustering methodology, an unsupervised learning method, and a deep neural network (a supervised learning method).
Build a data analysis pipeline, from collection to analysis to presenting data visually.
#datasciencecoursesonline
#datascience
#datasciencecourses
Data science training in hydpdf converted (1)SayyedYusufali
Best Tableau Training Institute In Hyderabad is a robust growing data visualization tool that is used in the Business Intelligence Industry. EduXFactor Training helps you to simplify raw data in a straightforward format. The data Analysis is high-speed tracking with Tableau tool presenting creations in dashboards and worksheets
This course welcomes anyone who are passionate about playing around with data, regardless of technical or analytical background. Users can create and distribute interactive & sharable dashboards that depict the large data into easily readable graphs and charts.
EduXFactor Tableau course is exclusively designed to help you to learn, practice & explore various tools. This certification will be a stepping -stone to your Business Intelligence journey. Through the entire course, you will get an opportunity to work on varied Tableau active projects Best Tableau Training Institute In Hyderabad
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Join us for the Best Selenium certification course at Edux factor and enrich your carrier.
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<a href="https://eduxfactor.com/selenium-online-training">Best Selenium certification course</a>
Which institute is best for data science?DIGITALSAI1
EduXfactor is the top and best data science training institute in hyderabad offers data science training with 100% placement assistance with course certification.
Join us for the Best Selenium certification course at Edux factor and enrich your carrier.
Dream for wonderful carrier we make to achieve your dreams come true Hurry up & enroll now.
<a href="https://eduxfactor.com/selenium-online-training">Best Selenium certification course</a>
Data Science Online Training In HA comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.hyderabad Data Science Online Training
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Data science training institute in hyderabadVamsiNihal
Exploring the EduXfactor Data Science Training program, you will learn components of the Data Science lifecycle such as Big Data, Hadoop, Machine Learning, Deep Learning & R programming. Our professional experts will teach you how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms & machine learning techniques. You will learn how to handle a large amount of data information & process it according to any firm business strategy.
A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.
Eduxfactor is an online data science training institution based in Hyderabad. A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Data science online training in hyderabadVamsiNihal
Exploring the EduXfactor Data Science Training program, you will learn components of the Data Science lifecycle such as Big Data, Hadoop, Machine Learning, Deep Learning & R programming. Our professional experts will teach you how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms & machine learning techniques. You will learn how to handle a large amount of data information & process it according to any firm business strategy.
Overview of Data Science Courses Online
A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge.
What You'll Learn In Data Science Courses Online
Grasp the key fundamentals of data science, coding, and machine learning. Develop mastery over essential analytic tools like R, Python, SQL, and more.
Comprehend the crucial steps required to solve real-world data problems and get familiar with the methodology to think and work like a Data Scientist.
Learn to collect, clean, and analyze big data with R. Understand how to employ appropriate modeling and methods of analytics to extract meaningful data for decision making.
Implement clustering methodology, an unsupervised learning method, and a deep neural network (a supervised learning method).
Build a data analysis pipeline, from collection to analysis to presenting data visually.
#datasciencecoursesonline
#datascience
#datasciencecourses
A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge
EduXfactor is the top and best data science training institute in hyderabad offers data science training with 100% placement assistance with course certification.
Data science online training in hyderabadVamsiNihal
Exploring the EduXfactor Data Science Training program, you will learn components of the Data Science lifecycle such as Big Data, Hadoop, Machine Learning, Deep Learning & R programming. Our professional experts will teach you how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms & machine learning techniques. You will learn how to handle a large amount of data information & process it according to any firm business strategy.
data science online training in hyderabadVamsiNihal
A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
Taught and developed by experienced and certified data professionals, the course goes right from collecting raw digital data to presenting it visually. Suitable for those with computer backgrounds, analytic mindset, and coding knowledge. Grasp the key fundamentals of data science, coding, and machine learning. Develop mastery over essential analytic tools like R, Python, SQL, and more.
Best data science training in HyderabadKumarNaik21
Join us for the Best data science training in Hyderabad at Edux factor and enrich your carrier.
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Eduxfactor is an online data science training institution based in Hyderabad. A comprehensive up-to-date Data Science course that includes all the essential topics of the Data Science domain, presented in a well-thought-out structure.
The world has witnessed explosive digital growth in the last two decades, which has led to a data deluge. This data may be
holding some key business insights or solutions to crucial problems. Data Science is the key that unlocks this possibility
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Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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.
3. DATA SCIENTIST
• A step-by-step approach to data science, combining analytic,
programming, and business perspectives into easy-to-digest
techniques and thought processes for solving real world data-
centric problems
4. THOUGHT PROCESS
• How to analyse data.
• How to ask questions and arrive at conclusion.
• Intense observations for accurate results.
5.
6. HOW TO ANALYSE DATA?
•PRIORITIES
• You define what is important to you by what you
dedicate your time to provide an effective solution.
7. DECODE THE ISSUE.
• Data science is about solving problems –
find and solve one.
8. STRUCTURAL DESIGN
• As you read, you'll discover (or remember) valuable statistical
techniques and explore powerful data science software. More
importantly, you'll put this knowledge together using a
structured process for data science.
9.
10. EXECUTION
• Learning by doing is the only way to learn data science – you
don’t learn how to ride bike by reading about it, right? Same
thing applies here – whatever you learn, be sure you apply it
immediately and solve actual problems with real data.
11. HOW TO START THINKING LIKE A DATA
SCIENTIST RELEVANT TO MANAGERS IN
INDIA
12. PERTINENT BEHAVIOUR OF INDIAN
MANAGERS
• Understanding the role and meaning of Model.
• Deploying the power of Hypothesis.
• Generating the required data.
• Searching for the Mechanism.
• Reproducibility and Enduring Impact
