Analytics Professionals: Get recognised, further your career, reduce your tax

[unable to retrieve full-text content]You can be recognised for your skills in data analytics in just six weeks by IAPA. Act before 30 June and claim the cost of the IAPA-certified via credential as a tax deduction.
Original Post: Analytics Professionals: Get recognised, further your career, reduce your tax

Doctor of Business Administration/Data Analytics, Online at Grand Canyon University

For business technology professionals, a new avenue for scholarly and professional achievement has emerged: The Doctor of Business Administration with an Emphasis in Data Analytics at Grand Canyon University.Offered in a convenient online format, this doctoral program empowers expert data analysts to spark new industry-wide innovation. As the global economy evolves at record speed, you will emerge from the DBA Data Analytics program with enhanced skills in the application of “Big Data” to solving business problems and adding to the body of knowledge within this discipline. According to Dr. Ronald Berman, Assistant Dean and Program Chair of the DBA program, “This program is designed for the business technology professional who aspires to lead the innovative use of big data in gaining the competitive advantage.”GCU is Arizona’s premier private Christian university, where learners can find their purpose and achieve their potential.…
Original Post: Doctor of Business Administration/Data Analytics, Online at Grand Canyon University

Data Analytics Summit, March 9-10, Free Event – RSVP

JON CLIFTONGallup, Global Analytics Managing PartnerCHRISTIAN TOFT-NIELSENIBM, Vice President Chief Analytes OfficeWILDS ROSSPrincipal, KPMG LLPJEREMY RACINESAS Healthcare DirectorDR. AMANDA DAWSONSelect Medical, Director of ResearchFRED RAHMANIANGeneia, Chief Technology OfficerDR. ANDRE DE WAALSAS Institute, Senior Analytical ConsultantJOE CASERTAFounder and President of Caserta Concepts
Original Post: Data Analytics Summit, March 9-10, Free Event – RSVP

3 ways to learn Data Science at Statistics.com

Get the personal touch that you need to deepen your learning. Statistics.com classes are small,  with rich and engaging content that includes readings, videos, quizzes, homework, projects, and practical work with software.  All courses are taught online by well-respected instructors (most are authors of the text you will use, or practitioners in the field) who will answer all your questions on  a private discussion forum. Use promo code holidaykdn16 for $116 off each course until Dec 31, 2016. 1. Certificates in Data Science Want to expand your knowledge in data science while remaining in your current job? These two online certificates have 10 courses each (each course is 4 weeks long) and are taught in small cohorts by leading text authors or experts in each subject.  The cost is $5,000 and each course takes about 10-15 hours per week to…
Original Post: 3 ways to learn Data Science at Statistics.com

Data Analytics Models in Quantitative Finance and Risk Management

We review how key data science algorithms, such as regression, feature selection, and Monte Carlo, are used in financial instrument pricing and risk management. By Elena Sharova. Introduction In this article I would like to go over how some of the data science algorithms are used in financial instrument pricing and risk management. This is a high-level introductory overview, with pointers to resources for more details. Linear Regression According to the September KDnuggets poll, regression was voted as the most used algorithm. This is no surprise, since regression is one of the most transparent models. The term ‘regression’ can mean deriving a numeric prediction. Here, by regression I mean the ordinary least-squares regression. Many financial models rely on historical data, like prices, to forecast the future. Sometimes price data may not be available for a required historical horizon. This is…
Original Post: Data Analytics Models in Quantitative Finance and Risk Management

Inside Industry 4.0: What’s Driving The Fourth Industrial Revolution?

In the history of mankind and past three major industrial revolutions, horizontal innovations like wheel, steam engine, electricity and integrated chips have always been the crux of it and they changed the world dramatically. Well, fourth one is on its way! Want to know what’s driving it? Have a read at this crisp article. Industry 4.0 is much more than…
Original Post: Inside Industry 4.0: What’s Driving The Fourth Industrial Revolution?

Rowan University: CS Faculty – Data Analytics (open rank)

The Computer Science Department at Rowan University invites applications for a tenure-track faculty position with a primary specialization in Data Analytics to begin September 1, 2017. Applications due Nov 15, 2016. Company: Rowan UniversityLocation: Glassboro, NJWeb: www.rowan.eduPosition: CS Faculty – Data Analytics (open rank)Contact:Please complete the online application hereApply online. The Computer Science Department at Rowan University invites applications for…
Original Post: Rowan University: CS Faculty – Data Analytics (open rank)

Learn to collect, classify, analyze, and model data

Data analytics skills are in high demand. It’s predicted that, in just three years, the United States may be short 1.5 million managers and analysts who know how to analyze data and make effective decisions (McKinsey Global Institute).The courses offered in the Penn State World Campus 30-credit online Master’s in Data Analytics degree could enhance your credentials in this growing field.…
Original Post: Learn to collect, classify, analyze, and model data

2 must-have tools for blazing fast Python performance

Intel has two must-have, highly optimized tools to help you get faster performance out of the box – with the least amount of effort. It doesn’t matter whether you’re a beginner or a ninja. Every Python* developer working on compute-intensive workloads and large data needs better performance. Intel has two must-have, highly optimized tools to help you get faster performance…
Original Post: 2 must-have tools for blazing fast Python performance