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Companies are using online learning labs for hands-on exercises in a vast variety of topics, including coding, machine learning and data science. If learners make a mistake, they simply restart the lab and have another go, or two or three, at the problem.
This white paper takes a detailed look at four types of learners, how to alleviate skill gaps, how to align training to business goals and more.
In technology fields, finding enough qualified women to hire and promote is a challenge that the best companies are committed to resolving. Overcoming this challenge starts long before girls choose their college major.
The most adaptive and innovative companies must ensure that their employees can speak the language of data and use it to improve work outcomes. Read this article to learn how you can create a data-fluent organization and help employees work better.
When it comes to learning new software and acquiring other high tech skills, virtual training labs are close to the ideal platform.
Data science has made what was previously impossible possible. Yet, despite the explosion of data collected in recent years, many organizations are simply not equipped to learn from their data in an efficient and effective manner.
Virtual training makes learning accessible to everyone. By removing the geographical barriers to learning, VILT software helps enhance students’ product adoption, career development and knowledge – without sacrificing the instructor’s effectiveness.
Making the switch to online training requires effort and buy-in. Educating key stakeholders on how a virtual training environment works, demonstrating the cost savings and value, and choosing vendors are critical steps.