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Showing posts with the label data analytics

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...

Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts

With high demand for data scientists and the high salaries that they draw, it’s often not practical for organizations to keep them on staff.   Instead, various organizations work to ramp up their prevailing staff’s analytics skills, comprising predictive analytics. But companies need to advance with caution. Predictive analytics is particularly easy to get wrong. Here are the first few “don’ts” your team needs to learn, and their parallel cures. 1. Don’t Fall for Buzzwords — Explain Your Objective Data Science doesn’t essentially refer to any specific technology, method, or value proposition. Rather, it indicates a culture — one of smart people doing creative things to discover value in their data. It’s essential for everyone to keep this on the top of the mind when learning to work with data. Under the broad umbrella of data science sits predictive analytics, which provides the most actionable win you can draw from data. In a nutshell, predictive analytics is technolo...

How to Structure a Data Science Team: Key Models and Roles to Consider

People or organizations carefully following the trends and expert opinions in data science and predictive analysts will know that it is best to start from machine learning.   Experts often advise that it is best to take one step at a time. Start with the proverbial’ low hanging fruit’ and then move on to bigger and more complex operations as you gain relevant experience along the way. Machine-learning-as-a-service (MLaaS) platform Current trends and indications clearly point towards the value of machine-learning-as-a-service (MLaaS) platforms. Machine Learning is fast turning into a commodity thus making it well within the reach and resources of small and mid size organizations.   Leading vendors such as Microsoft, Amazon and Google provide Application Process Interfaces (APIs) and platforms to run basic ML operations without the elaborate need to invest in building complex infrastructure and hire professionals with deep knowledge and expertise in data analytics. It...

Learn How to Improve Employees Experience by Cross-Training

No matter what sort of business you have, your employees may become bored and stale doing the same routine tasks every single day. In order to foster an engaged workforce or set up employees for success, you may consider offering opportunities to cross-train your employees that will broaden their horizons and make them a valuable asset to the organization. Cross-training is not only helpful in improving productivity, but it also allows employees to develop new skills in a specific field that will heighten their professional development and career growth. Here are the reasons to consider cross-training employees: 1. Maintain the same productivity even when employees are absent.   There are certain things that can’t be avoided, such as family emergency or a sudden injury. But when one employee is absent for a couple of days, the other members can easily cover up for that absence if they are well-versed with that employee’s key tasks.   For short-term absences, cross-t...

Unlocking the Future of Corporate Training in This Ever-Changing World

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Let’s admit the truth that today employees are no longer interested in attending group meetings that result in boring lectures. Many of them have started protesting against daylong seminars. As a result of this, corporate learning is shifting gears once again to meet the needs of young professionals who prefer to take corporate training in data analytics , data science and big data through micro-learning modules. Microlearning is the delivery of corporate training on new technology, processes, and equipment in short bursts. Today, microlearning is a significant aspect of employee development.   Over the past few decades, rapid advancement in technology has made corporate training modules easier to understand, more productive, and cost-effective. These days, paragraphs of instructions have been replaced by interactive illustrations, quality graphics videos, and compact textual content. Large business organizations across the world have deployed their own Learning Manag...