Do you enjoy statistics and programming? Are you currently studying math and statistical learning (such as machine learning)? Are you excited to learn the latest technologies and techniques in data science? If your answers are more than just one yes, your career path may take you to data analysis very soon. Many students in programming and statistics can find a very remunerative career in data science, as it is an ever-growing field with a lot of potential. But right from the start, you have to ask yourself how you are going to approach this discipline and how you are going to tackle the programming challenges ahead of you. And here comes the question that all data scientists had to answer at the very beginning of their careers: should I learn Python or R programming to start working on data analysis? This is a tough question since Python and R are both versatile programming languages in data statistics. They were born in the same period (the late 80s or the start of the 90s) and bot

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Role of Data Mining in HR activities. Data mining is the act of analyzing huge informational indexes so as to create new data. In human resources (HR), Data mining is a fundamental device so as to contend with the quickly developing challenge, for example, computerized reasoning and the technological headway of robotized programs.

Big data is everywhere. Making good use of big data analysis will improve the quality of work.

Santa Barbara, CA, May 23, 2019 -- HG Insights, a global leader in technology intelligence, announced today the release of HG for Marketo, which helps businesses instantly personalize conversations, prioritize prospects, and accelerate revenue with technographics.

Promotion of advanced technology requires training of target customers to enable them to understand technology, preferably with examples.

This is a quick guide on how to download a copy of the personal data that Facebook holds on you. It will make interesting reading, enjoy…

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The Data Science Foundation is proud to be supporting Big Data World. The event takes place 12 – 13 March 2019 at Excel, London and is aimed at everyone working with data. There will be hundreds of hours of free education from over 120 expert speakers covering all the key big data topics. And there will be thousands of your peers, offering you an invaluable time of networking and idea-sharing.

Confirmed speakers for Big Data World now include:George Zarkadakis, Digital Lead - Willis Towers WatsonAmit Varma, Head of Technology - Citi GroupDan Kellett, Senior Director of Data Science - Capital OneChris Combemale, Group CEO - DMA GroupPaul Russell, Director of Analytics - Experian UK &IMohammad Shokoohi-Yekta, Data Scientist - AppleAndrew Drooker, Director Gloal Applications Development - UPSArjun Panesar, Head of AI - Diabetes.co.ukApurva, Kumar Sinha - Head of Innovation and Information ManagementJanthana Kaenprakhamroy, CEO and Founder - TapolyJean Ortiz Perez, Head of Analytics I&A - Collinson Group Ian Thompson, Head of BI - King

The Data Science Foundation will launch a cancer research discussion group within the next couple of months. The idea is to bring together people with relevant expertise and or access to resources and to initiate a discussion on how the group might contribute to work being done in this field.

Hi I want member of this group so please contact my email-id-rakesh.saroj@bhu.ac.in

Hey I would love to start a discussion on the application of graph theory and graph databases in the context of business data. I have identified several applications but it would be interesting to hear your thoughts on these and other applications you can think of!Applications that I have identified are:Airport connectionsDelivery logistics - like the one eBay implementedCo-purchasing networksWebsite navigationBank transfers

Update: I had a lot of great answers when I posted this question on Twitter @ToriTompkins.Graph Theory has some good applications when resolving dependencies between source files. This involves determining what processes can be run after a source file has loaded by querying for all associated nodes. Collaborative working. For example some issues on GitHub are tagged by multiple users. Social network analysis can be used to identify shortest paths, influencers, cliques etc.Many processes in business intelligence have complicated and moving parts for example percurement, contracts or fraud. Graph theory can be utilised to uncover hidden connections.Any more suggestions are welcome!

To make sense of all 2.5 petabytes of information, and put it to work solving problems, the company has created what it calls its Data Café – a state-of-the-art analytics hub located within its Bentonville, Arkansas headquarters.Walmart – the world’s biggest retailer with over 20,000 stores in 28 countries, is in the process of building the world’ biggest private cloud, to process 2.5 petabytes of data every hour.https://www.forbes.com/sites/bernardmarr/2017/01/23/really-big-data-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud/