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Certification or Advanced Degrees.
Big Data ( IF 4.6 ) Pub Date : 2020-02-01 , DOI: 10.1089/big.2019.0172
Dan Holle 1
Affiliation  

The value of training for a data sciences professional is in the eye of the beholder. And dependent on the scope and breadth of that training and the cost and time frame of that training. Value for the employee may differ from value for the employer. The lens is different and value may depend on what lens you look through. Training can be online or on-site, short term with specific focus or longer term with greater breadth and less depth. Career goals should also be considered when determining value. Certification in Spark is not valuable if you do not want to work with Spark. A PhD in management psychology is not as valuable if you do not want to manage people. The fact that training (both certification and degree programs) is valuable is not debatable. Maximizing that value for both employee and employer is always a preferable option. But is it realistic?

中文翻译:

认证或高级学位。

旁观者认为,培训数据科学专业人员的价值。并取决于该培训的范围和广度以及该培训的成本和时限。雇员的价值可能不同于雇主的价值。镜头不同,价值可能取决于您所看的镜头。培训可以在线或现场进行,短期培训可以有重点,长期培训可以更广,深度更小。确定价值时,还应考虑职业目标。如果您不想使用Spark,则Spark中的认证没有价值。如果您不想管理人员,那么,管理心理学博士学位就没有那么有价值。培训(包括证书和学位课程)很有价值的事实是不容争议的。使雇员和雇主的价值最大化始终是一个更好的选择。
更新日期:2020-02-01
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