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Showing posts from March, 2019

How to Choose Your Corporate Training Partner

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The pace at which technology is evolving today can be challenging to cope up with at times even for the biggest companies. The same holds true for technology experts who are in a regular struggle to not just stand out in a hyper-competitive market but also stave off obsolescence by constantly upskilling themselves. It is where CorporateTraining in Data Analytics comes in. It’s a practical solution designed for present-day employers and employees. There are two significant advantages that corporate training in analytics unlocks: Increase in productivity Training present employees in new skills are more effective and practical than hiring new employees with those skills. The former understand the company better and thus will lead to increased productivity. Increase in loyalty One of the primary objectives of most HR departments today is to reduce employee attrition. Upskilling through training is an excellent way to do that since it shows employees that thei

Building A Rock Star Data Science Team

Organizations today need to do a lot more than just acknowledging big data. Today, they need to make data and analytics an integral part of their business. Obviously, this will need building a quality data science team to handle the data and analytics for the organization. Choosing the right team members can be difficult, primarily because the field is new and most companies are still trying to identify exactly what a good data scientist should be able to do. The following information should help to make the process simpler. The Right People You will need to have data scientists who can work on massive datasets and who know the theory behind the science. Moreover, they should be capable of building predictive models. Data software developers and Data Engineers are significant, too. They need to understand the infrastructure, architecture, and distributed programming. Some of the other positions to fill in a data science team consist of the data platform administrator, da