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This is a very comprehensive book which reveals the importance of Data Analytics in business: large volumes of info which is processed and analyzed with the goal of predicting patterns and improving the managerial decision-making process. After reading this book, you will definitely have a complete understanding of the concept.
This book has introduced a wide range of ideas and concepts used for deriving useful info from a set of data. And also it contains data analytics techniques and what can be achieved by using them. It includes huge data analysis, advantage, considerations of pros and cons, methods, and more. The importance of huge data is also showed in this book as well as the software and everything required to improve business data.
It's a broad high level overview of how data analytics can support businesses increase their productivity and gives guidance on the correct policies and tactics to adopt towards that end.
Data analysis is at least as much art as it is science. This book is focused on the info of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. I concise introduction and instructions about all stages of data analysis. Each subject can be expanded into a much more deep communication but the suggestions mentioned are very practical. I think it's a amazing starting point if you're a new-comer to data analysis. And it would be helpful to frequently look it up when you're doing the process to create sure you're on the right track.
Ver 3.2.2 Samsung Note 5 & SM-T800 tablet. Can't watch live TV. Selecting "Log in" does nothing. Uninstalled, wiped cache, reinstalled. Issue still exists. Modernize 2/6 - Can watch live TV BUT if you close this application via the "Recent Apps List" it logs you out from your provider. Should be changed to ONLY log you out if you select "Sign Out" in settings.
With recent modernize amazing to see some improvement in general. However, improvements are still needed. Performance is slow on refresh, scrolling, and on watchlist. No watch list to be synched feature across devices (Android only). Missing this feature big-time. Missing Saved menu for stories. It is amazing that you can watch shows but they are not available until late night. It would be amazing if they are available earlier specially when I am on the road. Need forward and rewind buttons when watching full present or live videos. It is available when watching video clips.
This is a amazing application for tracking business news. Sometimes updates are slow when coming out of background if there for several hours. Application has also started crashing in both foreground and background on Android device 7.1.x, but not very often (I suspect issues from ads). Ads are not intrusive - they're only show when reading an article. I can recommend this app.
The fresh CNBC application visually looks more current with application standards but the old CNBC application functionally worked better. The best part of the old application was the fast shop summary the top that you could swipe to the next set of markets. The fresh one is supposed to have it too but it won't stay on the home page. Tried a lot of times to fix but unsuccessful. Uninstalled sadly.
Amazing articles but...navigation could be a lot better. If I read a couple of articles, there's no method to obtain back to the home screen except by pressing back button, and after reading several articles, you'll have top hold hitting back til you'll finally obtain to the home screen, which you'll inevitably back out of the application altogether. Happens every time, so annoying. Please update!
Each time it's updated, it remains slow loading. This has been the case for over a year. I've tried it on various phones, same thing. Probably server capacity. Content takes too long to load (10-20 seconds or more) Pixel 2XL, ,Oreo 8.0
Zero star! Always crash when I test to begin "Markets" on the side menu. I can't view currencies and any other tabs inside it. Used to be a amazing application before July, but now zero star! Useless!!! The bug still haven't been fixed!!!
While I'm in the middle of reading an article on the app, if my phone loses network connection, the application would chop off. The application shouldn't chop off while you're reading an article. Then it becomes a waste of time.
What's wrong with this app. I hold getting stuck at the loading screen while the audio is playing the whole time. The worst part is even though I exit the application on my fire TV, the audio will still play until I force close it. Frustrating to say the least. I won't be using this application anymore until they obtain it right.
Have watched CNBC for years on TV. Recently downloaded this application for on the fly quotes/Intel on stocks/Markets/news. So far so good, but have not spent much time exploring it's capabilities. Will review rating after doing so.
Prompted to review again, 10/15, unfortunately no improvements since my latest review. It still freezes up in the afternoon. Really irritated when I can't see the shop closing articles. Much better with the recent modernize but now it freezes up in the mid afternoon which is really frustrating after the shop closes. Used to be my go to application several times a day day. The fresh modernize is horrible. Doesn't fit, limited info, limited charts and doesn't work. Android device HTC Update: application still freezes up in the mid afternoon and sometimes it won't download stories.
I had to take three stars off this perfect application because of the notifications. I wish notifications but I don't wish them with sound. It is super annoying. Please give us the option to place notifications on vibrate only!!!! Almost every application gives you this option, why have you still not done it? Don't say my phone can......because if I do it on my phone it will silence alerts from all apps and some I need to hear still.
I depend on the CNBC application for simple financial updates & business news. The notification Alerts for necessary business problems are relevant & timely. Only problem is tapping on the alert does not always take you to the correct info...so you just back up to the beginning of the website for new info. Other than that this is a very helpful app.
Why can't I login to my watch list. Now I have to make a fresh watch list and it's only amazing on this one device. Whereas iOS and a computer I can sign into the watch list. This is just pathetic and lazyness in application design!
Just installed. Perhaps it's amazing for biz news, not sure though. While setting up after installing the application in the welcome screen it showed about portfolios however I couldn't search the option to make portfolio. There's option to make only watchlists. When I checked here on Google play the screenshot shows a watchlist named My Stock. If this is what's meant by portfolio then this won't serve the purpose as this only shows the Latest and Change. We cannot see the important info of the holdings such as the investment versus each stock,latest value of each stock quantity we hold, change versus each stock and day's gain/loss etc. If this option is already there then please support search it.
Cnbc is unquestionably the best business network on tv. But sometimes I feel like they have under invested in the application and neglect their online presence as it is slow to load and is congested. It's to basic. They should have a method better application considering the content available on television and at their regular website.
Use as a Quick!! Sector Watch list created to watch Key locations of the Current Shop Cycle . Short and LONG e use of after Hours and percentage performance with select of useable data to create the key leads to be Successful in this type of Market. I Never seen this type of topped out Shop Cycle !! Holding more % $ This shop environment. Learn to use this application with IBD Info leads , Angry Cash for cap off. 👍
CNBC application while posting non-stop Trump bashing headlines, the application is super bugy. Saved stock symbols cannot be saved or kept in storage when you switch phones or have to remove application for the a lot of bug problems. In the past 12 weeks on a continuous basis typing in any stock symbols produces no results. The application just stalls and won't search any company names for well known companies. They will give work a rounds which may work but issue comes right back. It needs a complete overhaul of its code.
When trying to learn about a fresh field, one of the most common difficulties is to search books (and other materials) that have the right "depth". All too often one ends up with either a friendly but largely useless book that oversimplifies or a massive academic tome that, though authoritative and comprehensive, is condemned to sit gathering dust in one's shelves. "Data Science for Business" gets it just right.What I mean might become clearer if I point out what this book is *not*:- It is *not* a computer science textbook with a focus on theoretical derivations and algorithms.- It is *not* a "cookbook" that provides "step-by-step" guidance with small to no explanation of what one is doing.- It is *not* your standard "management" title on the cool tech du jour available at airport stands and meant to be read in one sitting (buzzwords, hype and overly enthusiastic statements making up for the dearth of actual content).Instead, it is close to being the excellent tutorial for the smart reader who -- regardless of whether s/he has a tech background -- has a sincere desire to learn how the tools and principles of data science can be used to extract meaningful info from large datasets. Highly recommended.
At it's core, Data science is the elimination of guess, intuition,hunch and decisions backed by Data .Data Science is ranked the Sexiest Job Of 21st Century by Harvard Business Review. Today there is a tremendous demand for everything "Data Science", Companies need "Data scientists", IT resources are refocusing themselves to be the "Data scientists". Contrary to famous beliefs that Marketing benefits a lot from data science, companies are finding benefits across the spectrum of their operations . Example : A leading Trucking company used Data mining skill to predict which part of the truck is going to break next instead of replacing it at specific intervals, a Leading insurer predicted those who will complete their antibiotic course based on their home ownership history. If this type of stories and scope interests you, read the book "Big Data: A Revolution That Will Transform How We Live, Work, and Think".I am an aspiring "Data Scientist" and so this review will have a slight tilt from a "Data Scientist" perspective over the business user.WHAT THIS BOOK IS ?This book is very well written ,but not for the faint heart. It is a text book and authors have taken lot of care so general audience can also benefit from it, and also not to dilute it's textbook value. To obtain the full benefit of the book, read about 50 pages ( Do not flip pages), never more than 10 -15 pages per session. The book is intense so you will need to take a break in between or will lose the thread. Once you are finished with fifteen pages, go to the first page and read , highlight the necessary locations and then go to the next page. So plan to read this book in a span of 2 -3 months. I know it is slow but if you wish to understand the inner workings of "Data science", there is not much other option. Alternative is to flip across several superficial articles that is a staple diet of every blog and magazines.WHAT THIS BOOK WILL DELIVER ?When you are finished with the book, you should have a fairly amazing understanding of data science, For example, what type of analysis that needs to be done to identify A. Will the Customer switch loyalty ? ( Yes / No ) B. What type of customers will cancel my subscription ? ( Ex : Middle Aged male from Manhattan will be 5% more likely to switch) C. What are the methodologies to identify If I can up-sell a customer ( Ex : Someone who bought this book also bought ) D. What is a supervised Segmentation and When will you use it ? ( When the target is clear, if the person will default on his loan) E. What is the significance of entropy in Data Science ? F. Exposure to several formula's ( sleep triggers as I call it). A lot of of the tools have in-built formula's but you still need some idea what these formula's are. G. Don't obtain defensive, be comfortable when your colleague sprinkles words like like Classification ,regression, Similarity Matching, Clustering, Modelling, Entropy etc.WHAT ELSE YOU WILL NEED ?Data Science does not exist in silo. It helps in decision making . So should be your learning, Here are my suggestions:1. First and foremost, you need to spend consistent time. If you are running short of time, don't even bother to start2. For those who are interested in understanding Data science, courseera dot org conducts a free 8 weeks course on "Introduction To Data Science" by an eminent Stanford Professor. It needs time and Commitment3. You can obtain true life examples to work on in coursesolve dot org ( ex: Analyze the sleep cycle)4. As a Data Scientist, you will need to understand "Big Data" . Browse an article and even experts use Data Science and Huge Data interchangeably. Hadoop is the core of Huge Data,but it is a globe of it's own.5. Read and begin experimenting with Hadoop , PIG , HIVE, HBASE and the variations it offers. I did a basics training at edureka dot in , an Indian firm, not a amazing training but enough for you to understand and then go on your own. But if time and cash permits, go to cloudera www service and sign up for training. you will not go wrong6. I signed up for Amazon elastic map reduce which has a higher level abstraction (for developers it is the difference between using sqlplus versus TOAD). It is not free but very cheap.7. Test to be the "umbilical cord that looks for a stomach to plug ", look for a mentor, look for opportunity in your firm or elsewhere to grow your Data scientist r those looking for inspiration , google for Rayid Ghani, Chief Data Scientist at Obama 2012 Campaign.
The institution tactic and goals need to be reflected in the procedures used to analyse the data base of the institution and the determination as to what data is relevant. The book discusses ways to get the data required and the short term volatility in return to the company that can result. But the authors present that this can eventually lead to improved efficiency focus and profitability for the company. The book requires a background in a number of supportive academics for full understanding . The discipline has defined its own language much like most of the technolgical disciplines and is best appreciated by those familiar with the vocabulary. It is a book that warrants study not just as a fast read for introduction. For a person studying or practicing in this zone I highly recommend this book for both its interest and as a reference book. Foster Provost and Tom Fawcett have created a valuable contribution to the understanding of Data Science.
Perfect discussion of data science methods without excessive focus on mathematical elements. These are included at a level that can be understood for the skilled marketer who has background but does not want to go deep into the math. The coverage is broad with both supervised and unsupervised methods in data mining. Subjects cover tree models to logistic regression, to scoring. A discussion of holdout model tests, prediction & validation. Particular emphasis is placed on how to frame questions to apply to the business case so suitable conclusions can tutorial business decisions and strategy. You will obtain the sense that the authors are war tested veterans of the data mining business and have applied their creativity to a broad range of business, data and technical y two caveats to this book. First, as purchaser of the kindle edition, I found the equations included in the text were sometimes very readable and sometimes the type was so little as not to be legible at all. Be warned. If you intend to follow the math that is included, perhaps the paper edition would be best. Second, this book does not dwell on the statistical packages that can be used to help data mining efforts. If you are interested in exploring these methods in practice, you will need to look further.
Foster Provost and Tom Fawcett are known for their work on fraud detection, among others. I have recently read their latest book, Data Science for Business – What you need to know about data mining and data-analytic thinking. No suspense: it’s one of the best data mining book I have ever read. Its style allows the book to be read by beginners, but its wide coverage and detailed case studies makes it a reference for experts as the title suggest, the book has a true focus on business with plenty of industry examples and challenges. The style is very pleasant since authors have created efforts to place the reader in specific situations to better understand a problem. To be noted the very interesting discussion of data mining leaks as well as data mining automation. The book is divided by concepts and provides a focus on them (instead of techniques). Although no exercice is present, the book could easily be used as a resource for a course.Each chapter is clearly divided into primary and advanced topics. The evaluation phase of the data mining standard process is deeply discussed. The section about Bayes rule is very well written. Data Science for Business is also an perfect resource to avoid data mining pitfalls. Chapter 13 is a must-read in order to understand success factor for implementing data mining in a company. To conclude, targeted at both beginners and experts, Data Science for Business is the fresh reference for data mining specialists working in industry.
This book is fantastic. it's a excellent mix of high-level explanation and technical details. There doesn't seem to be much to support one actually execute the methods described, but that does not appear to be the author's intent (which is why there is no negative impact on my rating).I appreciated the accessibility and plain English - albeit thorough - writing (from the perspective of a person who is self-taught in data science and sometimes less acquainted with the terminology).
An perfect resource for the Business Analyst (or the curious executive) looking for a comprehensive understanding of data analytics for business, especially the newer zone of heavy data/big data for business. This book gives a really solid grounding in both the business (strategic) and data (analytic, technical) aspects of modern data analytics. The authors clearly present that data is the next wave of change and that it will require a mindset change across all business functions--a mindset they call data-analytic thinking. If you need to master/improve this thinking skill set--here is a amazing put to begin no matter what your job vost and Fawcett have place a lot of work into the instructional design of this book--you can follow it down to the technical/mathematical level of algorithm design or just read the content concerning business tactic and general data design and use. Either way, you will achieve a satisfactory understanding that serves your purpose--the authors maintain a conceptual continuity at two or three levels of discourse. Very nicely done and very engaging. Five stars.
Note - I was provided an ebook ver in exchange for my review as part of the Library Thing Early Reviewers brief –This is a amazing book for any in the data science field or wanting to just understand “Big Data” or a manager/professional just trying to “get current. “ I have a masters degree in software engineering with a data science background and three years experience in a prior job in Data warehousing. It was a long read, especially with the holidays, but well worth it, and more enjoyable than almost every technical book I have every rengths – Organization, having technical info in a side by side section for those who wish it, covering info from definition, through use and application, as well as doing a amazing job explaining similarities and differences on key topics.Weaknesses – there are a few little locations I wanted more. Meaning if they could have somehow had more examples for the various models, situations, etc., especially as I got into more of the predictive models.
Provost and Fawcett's book is one of the very few in the field that neither condescends nor patronizes the reader as it explores the motivations and machinery behind the most commonly used data analysis techniques in the analytics professional's toolbox. While it stops short of providing detailed instruction on how to use these techniques, it provides the reader a solid foundation for taking this next hands-on step. And for those who are not working directly with data, but are otherwise stakeholders in the use of analytics to drive better organizational outcomes, this book will greatly enable you to understand and add value to the analytical process.---Zain KhandwalaExecutive Director,Institute for Advanced AnalyticsBellarmine UniversityLouisville, KY
Both authors practicing data science professionals. Their book outlines practical considerations, explains available tools and techniques, and shows results of a lot of well-chosen e book is appropriate for all data scientists, regardless of background or education. The math is minimal. There are no computer programs or algorithms.
Best app for News! Obtain all Updates and can also watch the news channel live from the app, all laungauge news in one intelligent app.. thanks devlopar news channel squad .Very very amazing app. No other application like , awesome now text in the news can be copied. It is very useful to learn English language Because of while reading, we can search meaning of English word in Marathi or other languages which we know well with thank devlopar🤩🥳
I came across this book while searching for a textbook for my introductory course to DB. This book is of an extreme value. It is a comprehensive reference for traditional relational data modeling and SQL and also includes updated advanced material on data mining, natural language processing, visualization and huge data.What I also like about the book is that it blends theory and practice of data modeling and SQL. Each chapter in the first part of the book starts with a data modeling concept (i.e. single entity, one-many, many-many etc...) and then shows how to implement it and perform queries with e companion www service contains all slides, datasets, and partial solutions of the exercises. All of that for $10 with Kindle, I can't ask for more. This is a must for database students and practitioners as well.
This is the worst textbook I've ever had to use. It's unnecessarily wordy, full of grammatical and formatting errors (in one part of the book, the same paragraph was printed twice in a row; in another, the book said that there were three reasons for something and then proceeded to list four - and there are related errors splattered throughout the entire book), and extremely hard to navigate. I have better luck jumping around randomly in the book in find of a section than I do trying to actually use the find function to search it. The author jumps around from topic to topic in a method that makes it hard to understand; it's almost like he place a bunch of SQL concepts in a hat and randomly drew a couple for each chapter he wrote. Furthermore, there is some weird story about a lady named Alice mixed in with the chapters in what I perceive to be an attempt to create the book slightly more interesting. I assume that my professor is private mates with the author, because that's the only reason I could think of for any professor to choose this book as a class textbook. The reason I gave it two stars instead of one is because the book has been useful in the context of my Database Management class, and it has been genuinely entertaining to read a textbook so poorly written. However, unless you are absolutely needed to have this textbook for your class, I'd recommend versus buying it. I'm sure there are much better-written SQL books out there that will teach you a lot more.
Although the info contained is valid and helpful, I can search no logical method to locate that information. The Kindle ver is very difficult to navigate, (location values instead of page numbers). I had a classmate with the printed ver ask me for support in locating a specific exercise in a specific chapter. I couldn't do it because her ver (printed) had page numbers for reference, and my ver (Kindle) had zone values. I have been hesitant to purchase a Kindle product and after seeing how this text is presented in the Kindle application for Windows, I'll pass. The reason I purchased the Kindle ver is because it is "Required" under my educational program. In summary, the info is valid, but the presentation sucks.
I got this book for my college class as needed by the school I'm attending. It is a amazing book with valuable info inside. But the fact that it was a kindle book created it very limited in terms of how I could learn the material. It is written like a novel. A book like this needs more interactive features on a platform like Pearson. I think it would have been much better if we bought a hard copy instead.
I use this book, and have done so for years, in an MSc course for students from all sciences that wish to acquire literacy on database design and SQL. The students like it and it allows them to work quite independently, having both a lesurely pace and enough depth. The author keeps it up to date, 's not at its strongest as a reference; but since SQL versions differ and change, that might be too much to ask.