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Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 151754 SciShow
How data mining works
 
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 238172 Thales Sehn Körting
Philip Evans: How data will transform business
 
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What does the future of business look like? In an informative talk, Philip Evans gives a quick primer on two long-standing theories in strategy — and explains why he thinks they are essentially invalid. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 241300 TED
What is Data Mining?
 
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NJIT School of Management professor Stephan P Kudyba describes what data mining is and how it is being used in the business world.
Views: 429202 YouTube NJIT
Big Data (Introduction for Business Students)
 
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This short revision video introduces the concept of big data. Big data is the process of collecting and analysing large data sets from traditional and digital sources to identify trends and patterns that can be used in decision-making. These large data sets are both structured (e.g. sales transactions from an online store) and unstructured (e.g. posts) on social media. The quantity of data generated is growing exponentially, including data generated by: Retail e-commerce databases User-interactions with websites and mobile apps Usage of logistics, transportation systems, financial and health care Social media data Location data (e.g. GPS-generated) Internet of Things (IoT) data generated New forms of scientific data (e.g. human genome analysis) Some important uses of big data include: Tracking and monitoring the performance, safety and reliability of operational equipment (e.g. data generated by sensors) Generating marketing insights into the needs and wants of customers, based on the transactions, feedback, comments (e.g. from e-commerce analytics, social media posts). Big data is revolutionising traditional market research. Improved decision-making - for example analysing the real-time impact of pricing changes or other elements of the marketing mix (the use of big data to drive dynamic pricing is a great example of this). Better security of business systems: big data can be analysed to identify unusual activity, for example on secure-access systems More efficient management of capacity: the increasing use of big data to inform decision-making about capacity management (e.g, in transportation and logistics systems) is a great example of how big data can help a business operate more efficiently
Views: 3554 tutor2u
BADM 1.1: Data Mining Applications
 
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This video was created by Professor Galit Shmueli and has been used as part of blended and online courses on Business Analytics using Data Mining. It is part of a series of 37 videos, all of which are available on YouTube. For more information: www.dataminingbook.com twitter.com/gshmueli facebook.com/dataminingbook Here is the complete list of the videos: • Welcome to Business Analytics Using Data Mining (BADM) • BADM 1.1: Data Mining Applications • BADM 1.2: Data Mining in a Nutshell • BADM 1.3: The Holdout Set • BADM 2.1: Data Visualization • BADM 2.2: Data Preparation • BADM 3.1: PCA Part 1 • BADM 3.2: PCA Part 2 • BADM 3.3: Dimension Reduction Approaches • BADM 4.1: Linear Regression for Descriptive Modeling Part 1 • BADM 4.2 Linear Regression for Descriptive Modeling Part 2 • BADM 4.3 Linear Regression for Prediction Part 1 • BADM 4.4 Linear Regression for Prediction Part 2 • BADM 5.1 Clustering Examples • BADM 5.2 Hierarchical Clustering Part 1 • BADM 5.3 Hierarchical Clustering Part 2 • BADM 5.4 K-Means Clustering • BADM 6.1 Classification Goals • BADM 6.2 Classification Performance Part 1: The Naive Rule • BADM 6.3 Classification Performance Part 2 • BADM 6.4 Classification Performance Part 3 • BADM 7.1 K-Nearest Neighbors • BADM 7.2 Naive Bayes • BADM 8.1 Classification and Regression Trees Part 1 • BADM 8.2 Classification and Regression Trees Part 2 • BADM 8.3 Classification and Regression Trees Part 3 • BADM 9.1 Logistic Regression for Profiling • BADM 9.2 Logistic Regression for Classification • BADM 10 Multi-Class Classification • BADM 11 Ensembles • BADM 12.1 Association Rules Part 1 • BADM 12.2 Association Rules Part 2 • Neural Networks: Part I • Neural Nets: Part II • Discriminant Analysis (Part 1) • Discriminant Analysis: Statistical Distance (Part 2) • Discriminant Analysis: Misclassification costs and over-sampling (Part 3)
Views: 3405 Galit Shmueli
Last Minute Tutorials | Data mining | Introduction | Examples
 
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Please feel free to get in touch with me :) If it helped you, please like my facebook page and don't forget to subscribe to Last Minute Tutorials. Thaaank Youuu. Facebook: https://www.facebook.com/Last-Minute-Tutorials-862868223868621/ Website: www.lmtutorials.com For any queries or suggestions, kindly mail at: [email protected]
Views: 54637 Last Minute Tutorials
Introduction to data mining and architecture  in hindi
 
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#datamining #datawarehouse #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 261247 Last moment tuitions
Bridging the Gap Between Data Mining and Machine Learning
 
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Jing Wang, Senior Vice President of Engineering at Baidu, answers a question about the company's challenge of not having the ability to process all of the data that it collects. Wang believes that much of this gap can be closed as advances in machine learning are made. Wang spoke on the panel "'Made in China' Innovation" at the China 2.0 Forum in Beijing hosted by Stanford Graduate School of Business on April 11, 2014. The panel was moderated by Marguerite Gong Hancock of Stanford Graduate School of Business and also featured Hurst Lin, General Partner at DCM China. Learn more about the 2014 China 2.0 Forum: http://sprie.gsb.stanford.edu/docs/2014_china20_forum. China 2.0 is an initiative of the Stanford Graduate School of Business focusing on innovation and entrepreneurship in China. Learn more: http://gsb.stanford.edu/China2.0
▶ Application of Data Mining - Real Life Use of Data Mining - Where We Can Use Data Mining ?
 
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Data Mining becomes a very hot topic in this moments because of its various uses. We can apply data mining to predict about an event that might happen. ✔Application of Data Mining - Real Life Use of Data Mining - Where We Can Use Data Mining? We're gonna learn some real-life scenario of Data Mining in this video. »See Full #Data_Mining Video Series Here: https://www.youtube.com/watch?v=t8lSMGW5eT0&list=PL9qn9k4eqGKRRn1uBmEhlmEd58ATOziA1 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on #Data_Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 #Learn_Data_Mining_In_A_Easy_Way #Data_Mining_Essential_Course #Data_Mining_Course_For_Beginner ট্র্যাডিশনাল পদ্ধতিতে যে সকল সমস্যার সহজে কোন সমাধান দেয়া যায় না #ডেটা_মাইনিং ব্যবহারে সহজেই একটি সিদ্ধান্তে পৌঁছানো সম্ভব। আর সে সিদ্ধান্ত কাজে লাগিয়ে ব্যবসায়িক অথবা যে কোন সম্পর্কিত সিদ্ধান্ত গ্রহন সম্ভব। Data Mining,big data,data analysis,data mining tutorial,book bd,Bangla tutorials,data mining software,Data Mining,What is data mining,bookbd,data analysis,data mining tutorial,data science,big data, business intelligence,data mining tools,bangla tutorial,data mining bangla tutorial,how to,how to mine data, knowledge discovery, Artificial Intelligence,Deep learning,machine learning,Python tutorials, Data Mining in the Retail Industry What does the future of business look like? How data will transform business? How data mining will transform business?
Views: 9146 BookBd
i will do data mining for your business
 
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i can collect any type of data for mining and scraping.
Views: 13 saddamwp com
Logistic Regression: Part 1 ("Data Mining for Business Intelligence")
 
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Part of the MBA-level course "Data Mining for Business Intelligence" offered by Prof Galit Shmueli @ University of Maryland's Smith School of Business and @ Indian School of Business. Logistic regression is introduced in the context of predictive analytics. Related resources: Textbook "Data Mining for Business Intelligence" by Shmueli, Bruce & Patel (http://dataminingbook.com)
Views: 8578 Galit Shmueli
Quiterian Analytics, the fastest Data Mining for business users
 
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Get more value from your data. Give more value to your business. Quiterian, the fastest and advanced Analytical BI platform, incorporates advanced analytic techniques and predictive analytics that allow extracting the maximum value of data by the users, easily and instantly. No need for being an expert to know not only what is happening and why but also predict what will happen. Helping companies to be more efficient and competitive.
Big Data & Analytics for Finance
 
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Big Data & Analytics is a great opportunity for finance to bring more value to business. How companies can address this challenge? https://www.capgemini.com/consulting-fr/
Views: 14611 Capgemini
What's difference?(Big data, predictive analytics, data science, data mining, business intelligence)
 
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Download "Explore Me - Find everything nearby" App from playstore: https://play.google.com/store/apps/details?id=com.yogeshkorke.admin.exploreme This video describes the short difference between Big data analytics, predictive analytics, prescriptive analytics, descriptive analytics, business intelligence, data science, machine learning, data mining and their application with help of example store sales. Like, share and subscribe more such videos!
Views: 10638 CryptoZilla
What do Data Warehouse and Business Intelligence do
 
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A fun way to explain my job as a Data Warehouse and Business Intelligence engineer
Views: 23541 lutingh
Data Mining Lecture - - Advance Topic | Web mining | Text mining (Eng-Hindi)
 
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Data mining Advance topics - Web mining - Text Mining -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~- Follow us on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy
Views: 63367 Well Academy
Data-mining: the new gold mine
 
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Companies are getting more sophisticated on how they monitor customer movements and buying habits. Is it possible to maintain privacy in an increasingly public world?
Views: 1104 CGTN Global Business
Data Mining
 
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NJIT School of Management professor Stephan P Kudyba describes what data mining is and how it is being used in the business world. In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at Materi pengantar data mining dengan durasi didesain pendek, hanya 10 menit. Materi ini selain sebagai pengenalan data mining untuk yang tidak memiliki banyak waktu luang, juga sebagai pembuka.
Views: 12 Chanelle Wilhemina
Oxford Study:  Political Data Mining Companies are Manipulating Elections Around the World
 
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An extensive new Oxford University study shows that governments, political parties, and NGOs spend well over half a billion dollars around the world to influence elections and public opinion, most of it in a completely unregulated and secretive manner. We speak to the study's co-author, Samantha Bradshaw Visit https://therealnews.com for more stories and help support our work by donating at https://therealnews.com/donate.
Views: 3903 The Real News Network
Data Mining
 
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NJIT School of Management professor Stephan P Kudyba describes what data mining is and how it is being used in the business world. In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at Data Science Training - ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what.
Views: 30 Lorretta Nealon
Data mining within to discover your true self | Tirthankar Dash | TEDxBangalore
 
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In today's world we seem more lost despite the abundance of information. Tirthankar Dash, story teller & design thinker for leading businesses around the world gives us a cheat sheet to discover the inner story in each one of us, towards living a more fulfilled life Dash is the founder of Quantum360, a design firm that takes a human-centered, design-based approach to helping organisations innovate and design for a more human future. He is also the co-founder of StoryCompany, a company that serves as a search engine to find meaning at work and in life. StoryCo. is devoted to humanizing workplaces and helping each person explore themselves, their beliefs, behavior patterns and indeed their own story to arrive at their own unique answer to a fundamental question - “What makes my life meaningful?” This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 3698 TEDx Talks
Data Mining and Its Importance in the Future World - DC Strategics
 
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Data Centre Green Tech & Data Centre Strategics Conference Shanghai 2010 Data Mining is a research emphasis on discovering patterns from a huge data set. In this talk, we will have some intuitive understanding of this technology and address its usefulness in the real-world applications and the future world. Prof. Zengchang Qin (Ph.D.) Associate Professor Intelligent Computing and Machine Learning Lab School of Automation Science and Electrical Engineering Beihang University
Views: 1047 PacificStrategicGrp
Kenneth Cukier: Big data is better data
 
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Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 330745 TED
The ART of Data Mining – Practical learnings from real-world data mining applications
 
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Machine Learning and data mining is part SCIENCE (ML algorithms, optimization), part ENGINEERING (large-scale modelling, real-time decisions), part PROCESS (data understanding, feature engineering, modelling, evaluation, and deployment), and part ART. In this talk, Dr. Shailesh Kumar focuses on the "ART of data mining" - the little things that make the big difference in the quality and sophistication of machine learning models we build. Using real-world analytics problems from a variety of domains, Shailesh shares a number of practical learnings in: (1) The art of understanding the data better - (e.g. visualization of text data in a semantic space) (2) The art of feature engineering - (e.g. converting raw inputs into meaningful and discriminative features) (3) The art of dealing with nuances in class labels - (e.g. creating, sampling, and cleaning up class labels) (4) The art of combining labeled and unlabelled data - (e.g. semi-supervised and active learning) (5) The art of decomposing a complex modelling problem into simpler ones - (e.g. divide and conquer) (6) The art of using textual features with structured features to build models, etc. The key objective of the talk is to share some of the learnings that might come in handy while "designing" and "debugging" machine learning solutions and to give a fresh perspective on why data mining is still mostly an ART.
Views: 1989 HasGeek TV
AI for Marketing & Growth #1 - Predictive Analytics in Marketing
 
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AI for Marketing & Growth #1 - Predictive Analytics in Marketing Download our list of the world's best AI Newsletters 👉https://hubs.ly/H0dL7N60 Welcome to our brand new AI for Marketing & Growth series in which we’ll get you up to speed on Predictive Analytics in Marketing! This series you-must-watch-this-every-two-weeks sort of series or you’re gonna get left behind.. Predictive analytics in marketing is a form of data mining that uses machine learning and statistical modeling to predict the future. Based on historical data. Applications in action are all around us already. For example, If your bank notifies you of suspicious activity on your bank card, it is likely that a statistical model was used to predict your future behavior based on your past transactions. Serious deviations from this pattern are flagged as suspicious. And that’s when you get the notification. So why should marketers care? Marketers can use it to help optimise conversions for their funnels by forecasting the best way to move leads down the different stages, turning them into qualified prospects and eventually converting them into paying customers. Now, if you can predict your customers’ behavior along the funnel, you can also think of messages to best influence that behavior and reach your customer’s highest potential value. This is super-intelligence for marketers! Imagine if you could not only determine whether a lead is a good fit for your product but also which are most promising. This’ll allow you to focus your team’s efforts on leads with the highest ROI. Which will also imply a shift in mindset. Going from quantity metrics, or how many leads you can attract, to quality metrics, or how many good leads you can engage. You can now easily predict your OMTM or KPIs in real-time and finally push vanity metrics aside. For example, based on my location, age, past purchases, and gender, how likely are you to buy eggs I if you just added milk to your basket? A supermarket can use this information to automatically recommend products to you A financial services provider can use thousands of data points created by your online behaviour to decide which credit card to offer you, and when. A fashion retailer can use your data to decide which shoes to recommend as your next purchase, based on the jacket you just bought. Sure, businesses can improve their conversion rates, but the implications are much bigger than that. Predictive analytics allows companies to set pricing strategies based on consumer expectations and competitor benchmarks. Retailers can predict demand, and therefore make sure they have the right level of stock for each of their products. The evidence of this revolution is already around us. Every time we type a search query into Google, Facebook or Amazon we’re feeding data into the machine. The machine thrives on data, growing ever more intelligent. To leverage the potential of artificial intelligence and predictive analytics, there are four elements that organizations need to put into place. 1. The right questions 2. The right data 3. The right technology 4. The right people Ok.. let’s look at some use cases of businesses that are already leveraging predictive analytics. Other topics discussed: Ai analytics case study artificial intelligence big data deep learning demand forecasting forecasting sales machine learning predictive analytics in marketing data mining statistical modelling predict the future historical data AI Marketing machine learning marketing machine learning in marketing artificial intelligence in marketing artificial intelligence AI Machine learning ------------------------------------------------------- Amsterdam bound? Want to make AI your secret weapon? Join our A.I. for Marketing and growth Course! A 2-day course in Amsterdam. No previous skills or coding required! https://hubs.ly/H0dkN4W0 OR Check out our 2-day intensive, no-bullshit, skills and knowledge Growth Hacking Crash Course: https://hubs.ly/H0dkN4W0 OR our 6-Week Growth Hacking Evening Course: https://hubs.ly/H0dkN4W0 OR Our In-House Training Programs: https://hubs.ly/H0dkN4W0 OR The world’s only Growth & A.I. Traineeship https://hubs.ly/H0dkN4W0 Make sure to check out our website to learn more about us and for more goodies: https://hubs.ly/H0dkN4W0 London Bound? Join our 2-day intensive, no-bullshit, skills and knowledge Growth Marketing Course: https://hubs.ly/H0dkN4W0 ALSO! Connect with Growth Tribe on social media and stay tuned for nuggets of wisdom, updates and more: Facebook: https://www.facebook.com/GrowthTribeIO/ LinkedIn: https://www.linkedin.com/company/growth-tribe Twitter: https://twitter.com/GrowthTribe/ Instagram: https://www.instagram.com/growthtribe/ Snapchat: growthtribe Video URL: https://youtu.be/uk82DHcU7z8
Views: 20963 Growth Tribe
Introduction to Data Analytics with R, Tableau & Excel | Data Analytics Career in 2019 & Beyond
 
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Introduction to Data Analytics with R, Tableau & Excel | Data Analytics Career in 2019 & Beyond https://acadgild.com/big-data/data-analytics-training-certification?aff_id=6003&source=youtube&account=UgnojgSKQLk&campaign=youtube_channel&utm_source=youtube&utm_medium=intro-DA-R-tableau-excel&utm_campaign=youtube_channel Did you know? by 2020, every human being will create over 1.5 megabytes of data per second on average. In 2025, the sum of digital data will add up to 180 zettabytes, which is over 1600 trillion gigabytes. Considering these numbers, it is an understatement to say that the data is only BIG. So, what is Big Data and how is it related to Data Analytics? Big data is a large volume of data that consists of both structured and unstructured data forms. helps organizations to draw meaningful insights from their data to learn and grow. Thus, it’s the data that matters and not it’s volume. Structured data is organized information that can be accessed with the help of simple search algorithms. While Unstructured data as the name suggests is less uniform and thus difficult to work with. The lack of structure makes compiling data at a time and energy-consuming task. The Relation Between Big Data and Analytics: The process of uncovering hidden patterns, unknown correlations, market trends, customer preferences and other useful information from both structured and unstructured data is called Data analytics. The Benefits of Using Data Analytics. • Analytics help organizations make informed decisions and choices. • It boosts the overall performance of the organization by refining the financial processes, increasing visibility, providing insights and granting control over managerial processes. • It detects fraud and flaws by keeping a close vigil. • It further Improves the IT economy by increasing agility and flexibility of systems. The above mentioned are just a few advantages, however, the list goes on. Despite the growing interest in data analytics, there is an acute shortage of professionals with good data analytical skills. Thus, only 0.5% of the data we produce is analysed. There is a serious shortage of skilled professionals. Thus, the ones who are called proficient data analysts must have certain skills. They must possess a varied skill-set like computer science, data mining and business management to provide from the data they are working on. Their computer science skills should include both programming skills and technical skills • Programming Skills: Python, R, and Java • Technical Skills: Knowledge of platforms like Hadoop, Hive, Spark, etc., Their data skills should include Warehousing Skills, Quantitative & Statistical Skills & Analytical & Interpretation Skills • Warehousing Skills: Data scientist must possess good analytical skills • Quantitative & Statistical Skills: As technology is a key aspect of big data analysis, quantitative and statistical skills are essential • Analytical & Interpretation Skills: knacks to analyses and interpret data The business skills are important to use the data effectively and to improve various aspects such as operations, finance, productivity, etc., These are the skills that make the data analytics professional an invaluable asset to the organization. The lack of skilled data professionals is an opportunity in turn for upcoming data scientists to make their mark in the field of data analytics. As the significance of data grows in the business world, the value of professionals working in analytics also increases. This is creating a variety of job roles amongst organizations and they are. Data Analyst, Analytics Consultant, Business Analyst, Analytics Manager, Data Architect, Metrics and Analytics Specialist, Analytics Associate these are only some of the job titles that data analytics professionals can acquire in business organizations. The list is presumably greater. The Chief Software Platforms are R, Tableau & Excel R is one of the robust statistical computing solutions. Tableau is the foremost business intelligence platform that offers eminent data visualization and exploration capabilities. Coming to Excel, it is used for managing, manipulating and presenting data. When combined, Tableau, R and Excel offer the most powerful and complete data analytics solutions. So, the demand for data analytics and its professionals is augmenting at a great pace. Organizations are interested in analysts to maximize their data potential, while professionals are interested in capitalizing on the analytical crunch in many parts of the world. #DataAnalytics, #Tableau, #R, #Excel, #career Please like share and subscribe the channel for more such video. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 3909 ACADGILD
The Difference Between Data Analysis and Data Modeling Concepts
 
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In today’s information rich world, we are seeing more and more data-related analysis skills in business analysis jobs. We’ve been asked several times whether business intelligence and business analysis roles are really different roles, and how to build a career path into business analysis without getting wrapped into business intelligence and data analysis. In this video, we’re going to pick apart the difference between data modeling concepts and data analysis, and give you a clear view as to when each skill set is required as you plan out your business analysis career path. For more information on data modeling, check out this list of essential data modeling techniques: http://www.bridging-the-gap.com/data-modeling-techniques/
Views: 18906 Bridging the Gap
Microsoft Visual Studio - Business Intelligence Data Mining
 
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For more videos visit http://computerseekho.com http://www.facebook.com/pages/ComputerSeekhocom/205208676168940
Views: 19891 Mayank Malik
Microsoft Visual Studio - Business Intelligence Data Mining
 
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Microsoft Visual Studio - Business Intelligence Data Mining Analysis Services Project
Views: 942 Amândio Guedes
Enhanced Resource Allocation: Business Use of Predictive Analytics and Data Mining
 
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Visit http://tdwi.org for more information on business intelligence and data warehousing training and education. TDWI Boston 2014 Keynote: Enhanced Resource Allocation: Business Use of Predictive Analytics and Data Mining Tony Rathburn Senior Consultant & Training Director The Modeling Agency StarSoft Solutions, Inc. Advanced technology has been a cultural obsession over the past few decades as business and government have invested heavily in pursuit of competitive advantage. The exponential growth in data repositories combined with advances in analytic techniques have left many organizations searching for the opportunities that justify these investments. Predictive analytics expert and author Tony Rathburn explores a business-driven perspective on using analytics that offers measurable organizational benefits, rapid implementation potential, minimal new investments, and lowrisk implementation strategies that can have near-immediate impact on virtually all organizations.
Views: 537 TDWI
Data Mining in the Retail Industry
 
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This is a powerpoint/video compilation I made for a project in my Systems Engineering class. It is a tutorial of Data Mining in the Retail Industry and includes a trip I took to Harris Teeter to prove the importance of Market Basket Analysis in the real world.
Views: 7710 bgood717
The Use of Data Analytics in the World of Sport
 
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Learn how sports and media organisations are meeting fans' demand for real-time insights.
Views: 4050 IBM UK & Ireland
08 New Business Models Presentation - Danielle Dupont, CSO
 Data Mining International
 
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New Business Models The goal of this session is to provide stimulating and innovative examples of business models that are based on the collection, aggregation, and re-use of health data in a manner that creates revenue opportunities for academia and other research entities, healthcare institutions, health data aggregators, and technology firms. • Moderator: Dr. Mats Sundgren, Coordinator of the European Innovative Medicine Initiative project EHR4CR • Danielle Dupont, Chief Scientific Officer,
Data Mining International • Jan Van Emelen, Director Innovation, MLOZ • Dr. Dipak Kalra, University College of London/University Hospital
Views: 974 EUSTRHD
Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks.
Views: 13793 Ben Rodick
The Ethics of Data - Personal Data & Privacy
 
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What is personal in a hyper-connected world? Is privacy dead or just dying? The video is meant to be debate-provoking and is not the opinion of the BBC or BBC R&D
Workshop on Data Mining & Analytics by Ms. Prachi Saraph, Business Intelligence & Analytics Expert
 
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To instil the understanding & importance of critical business insights deduced from data in business decision making among the budding leaders RNB Global University recently organized a Workshop on Data Mining & Analytics. The speaker of Data Mining & Analytics Workshop was Ms. Prachi Saraph. About the Speaker: Ms. Prachi Saraph has spent over 13 years in IT industry, in business intelligence and analytics. She specialises in building software product development and customer specific solutions with analytics as the core offering. She has worked in the capacity of software developer, analytical modeller, technical lead and software development manager. She specialises in end to end product development and delivery which includes product domain, technology, process aspects of the product. She is experienced in vast range of verticals and domains such as customer intelligence in communication and retail industry, link analytics and regulatory risk in the banking domain. Through the workshop RNBian’s became more aware about the rapid growth happening in the area of business intelligence, analytics specifically data mining methodology, techniques & algorithms, the latest tends along with lots of interesting examples abs applications of data mining today. RNB Global University campus acts as a perfect backdrop for your pursuit of quality education with all modern educational facilities. RNB Global University is among Top Private Universities & Colleges in Rajasthan offering a wide range of undergraduate, postgraduate, integrated and diploma courses in Arts, Commerce, Engineering, Law, Management & Social Science for educating stars for tomorrow. The course and curriculum designed for our various programs like BA, BBA, B.Com, B.Sc, BCA, B.Tech, LLB, BA + LLB, BBA + LLB, MA, MBA, M.Com, MCA & others are in accordance to the UGC guidelines and keeping in mind, the international standards. Various schools at RNB Global University are as follows RNBGU School of Engineering and Technology (Top Engineering College in Rajasthan for B.Tech): http://www.rnbglobal.edu.in/schools/engineering-technology RNBGU School of Basic and Applied Sciences (Best Computer Science college in Rajasthan for B.Sc & BCA) : http://www.rnbglobal.edu.in/schools/basic-applied-sciences RNBGU School of Commerce and Management (Best Business Management college in Rajasthan for MBA & BBA): http://www.rnbglobal.edu.in/schools/commerce-management RNBGU School of School of Arts and Social Sciences : http://www.rnbglobal.edu.in/schools/arts-social-sciences RNBGU School of Law ( Top Law College in Rajasthan for LLB): http://www.rnbglobal.edu.in/schools/law For more information visit http://www.rnbglobal.edu.in or call us at 1800-313-0075
data mining in healthcare
 
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how does the data mining technique help in solving healthcare problem-- Created using PowToon -- Free sign up at http://www.powtoon.com/ . Make your own animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 6462 Fouz Alaseeri
Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
 
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This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it? Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 141892 TEDx Talks
Business Morning: Focus On Data Mining For Savvy Investment
 
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For more information log on to http://www.channelstv.com
Views: 145 Channels Television
Government Data Mining: Impossible to Escape?
 
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June 7 (Bloomberg) -- Bloomberg West Editor-At-Large Cory Johnson looks at the list of companies linked to the collection of data by the United States government, including Apple, Google, Facebook, Yahoo, Microsoft, Skype, and YouTube. He speaks on Bloomberg Television's "Market Makers." -- Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg "Market Makers" brings you analysis, insight and A-list guests who influencing Wall Street and the global economy. The business news show is hosted by Erik Schatzker and Stephanie Ruhle and covers the biggest companies in finance and the leaders who run them. Companies of discussion range from bulge-bracket banks: Goldman Sachs, JPMorgan, Morgan Stanley, UBS, Credit Suisse and Bank of America to mid-size and boutique firms such as Jefferies, Piper Jaffray, Cowen and more. Whether the day's stories cover "too big to fail" Wall Street banks, billion dollar deals, the latest insider trading scheme, or the Street's reaction to Dodd-Frank, "Market Makers" taps leading analysis and A-list guests to shed light on global finance. Broadcasting live from Bloomberg's headquarters in New York, "Market Makers" breaks news and brings viewers exclusives with the likes of Goldman Sachs' CEO Lloyd Blankfein, Goldman Sachs COO Gary Cohn, Morgan Stanley CEO James Gorman, financier Ken Langone, billionaire investor Carl Icahn, hedge fund legends David Tepper and David Einhorn, pay czar Kenneth Feinberg, Credit Suisse CEO Brady Dougan and many, many more. The show airs daily at 10am ET/7am PT. For a complete compilation of Market Makers videos, visit: http://www.bloomberg.com/video/market-makers/ Watch "Market Makers" on TV, on the Bloomberg smartphone app, on the Bloomberg TV + iPad app or on the web: http://bloomberg.com/tv Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels. With production hubs in London, New York and Hong Kong, the network provides 24-hour continuous coverage of the people, companies and ideas that move the markets.
Views: 1253 Bloomberg
Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster
 
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Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 2209 TEDx Talks
REIS Episode 257: Paul Del Pozo: Data Mining for Leads
 
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Paul Del Pozo Investment Group, LLC. is a South Florida based Real Estate Investment Company. He specializes in Buying, Selling, Rehabbing, and Flipping Wholesale properties. In his free time he lives in a fitness world building a health and bodybuilding background. What you’ll learn about in this episode: • How Paul went from being a bodybuilder and personal trainer to becoming a successful real estate investor • Paul’s process of obtaining and working leads, networking, and learning the fundamentals of wholesaling • Why Paul believes it’s important to develop your skills in finding leads before you do anything else • How Paul integrates technology into the operation of his real estate business • How Paul uses a MLS data program called Propstream to find lists and comps, and how it has changed his business • How Propstream allows you to filter lists based on different categories like equity, property characteristics and more • How Paul has found financial independence in the 3 1/2 years that he’s been working in real estate • Why getting into real estate has been a catalyst of self-improvement even in other areas of Paul’s life • Which markets Paul is working in now, and why he has been moving his focus more into cash flow • How the slogan “Flex and Flip” has become a cornerstone of Paul’s business philosophy and his professional calling card Resources: • http://REInvestorSummit.com/Data • http://REInvestorSummit.com/Machine • http://REInvestorSummit.com/Everywhere • http://REInvestorSummit.com/aof • http://REInvestorSummit.com/coaching Love the show? Subscribe, rate, review, and share! Here’s How » https://reinvestorsummit.com/how-to-subscribe-rate-our-podcast-5-stars-on-itunes/ Join the Real Estate Investor Summit Community: http://reinvestorsummit.com/ https://www.facebook.com/1000Houses/ https://twitter.com/mitch_stephen https://www.youtube.com/channel/UC3fkChxDhvYJyEdof5RhjAw https://www.linkedin.com/in/mitch-stephen-0b32491b/
Views: 149 Mitch Stephen
Small Business Data Mining Blog
 
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Please visit my blog at http://smbdatamining.wordpress.com to learn how your small business could benefit from data mining.
Views: 82 Mike Curtis
Business Analytics with Excel | Data Science Tutorial | Simplilearn
 
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Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. Microsoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. Data Science Certification Training - R Programming: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Data-Excel-W3vrMSah3rc&utm_medium=SC&utm_source=youtube For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization. What are the course objectives? This course will enable you to: 1. Gain a foundational understanding of business analytics 2. Install R, R-studio, and workspace setup. You will also learn about the various R packages 3. Master the R programming and understand how various statements are executed in R 4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R 5. Define, understand and use the various apply functions and DPLYP functions 6. Understand and use the various graphics in R for data visualization 7. Gain a basic understanding of the various statistical concepts 8. Understand and use hypothesis testing method to drive business decisions 9. Understand and use linear, non-linear regression models, and classification techniques for data analysis 10. Learn and use the various association rules and Apriori algorithm 11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: IT professionals looking for a career switch into data science and analytics Software developers looking for a career switch into data science and analytics Professionals working in data and business analytics Graduates looking to build a career in analytics and data science Anyone with a genuine interest in the data science field Experienced professionals who would like to harness data science in their fields Who should take this course? There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 39202 Simplilearn
Using data strategically within your business
 
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90% of the world's data was created in the last 2 years, how are you using your data within your business? #datamining #analytics #machinelearning #datadrivenmarketing #datastrategy #datavisualisation #dataextraction #datascience
Online surveillance software / data mining
 
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A look at how monitoring patterns of behavior online can be construed as subversive behavior. Will this become the truncheon of a world police state?
Views: 37767 germanjournal
NSA Data Mining: Should U.S. Expect More Leaks?
 
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June 10 (Bloomberg) -- Bloomberg's Hans Nichols and Contributing Editor Richard Falkenrath examine the former CIA employee who claims to have leaked information on the government's gathering of big data and whether we can expect to see further details from other people. They speak on Bloomberg Television's "Bloomberg Surveillance." -- Related story: http://www.bloomberg.com/news/2013-06-09/nsa-whistleblower-is-29-year-old-american-guardian-reports.html -- Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg "Bloomberg's Surveillance" is a radio and TV business news show, featuring in-depth interviews with well-known business leaders, market analysts and leading economists. The show is hosted by Tom Keene, Sara Eisen and Scarlet Fu and includes frequent insight and analysis from economics editor Mike McKee. "Bloomberg Surveillance" covers market news, breaking news, finance, investment, global economics, business leaders and influencers, as well as the headlines and companies impacting the day ahead on Wall Street. In addition to covering Wall Street, the show includes global economics, currency market moves, earnings news, mergers & acquisitions, and insights on the world leaders and influencers shaping these events, including: Federal Reserve chairman Ben Bernanke, JPMorgan CEO and chairman Jamie Dimon, Apple CEO Tim Cook, Yahoo! CEO Marissa Mayer, Goldman Sachs CEO Lloyd Blankfein, Goldman COO Gary Cohn, economist Nouriel Roubini, investor Marc Faber, IMF chief Christine Lagarde, world bank president Jim Yong Kim, Meredith Whitney, former Wall Street executive Sallie Krawcheck and more. "Surveillance" broadcasts from Bloomberg TV's New York headquarters. The show airs on TV at 6-8amET/3-5am PT and on radio 6-10amET/3-7am PT. For a complete compilation of Surveillance videos, visit: http://www.bloomberg.com/video/bloomberg-surveillance/ Watch "Surveillance" on TV, on the Bloomberg smartphone app, on the Bloomberg TV + iPad app or on the web: http://bloomberg.com/tv Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels. With production hubs in London, New York and Hong Kong, the network provides 24-hour continuous coverage of the people, companies and ideas that move the markets.
Views: 421 Bloomberg
Data Mining and Network Analysis - Eelke Heemskerk
 
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Project website: http://corpnet.uva.nl In todays world, the control over big business is strongly intertwined. Corporations share directors, share owners, and often even own each other. But we know astonishingly little about the properties and generating mechanisms of this global networks of corporate control. In the CORPNET research group, a team of social and computer scientists employ cutting edge data analytics and large scale network analysis techniques to study the network of corporate control among over 100 million firms worldwide. How can we use these methods developed in physics and computer science to study social relations and understand who holds the power in contemporary capitalism?