Creating a Data-Driven Workforce with Blended Learning


As organizations produce extra information and digitize merchandise and processes, a data-driven workforce has by no means been extra important. This is why studying and improvement has grow to be central to enterprise methods, particularly initiatives centered on constructing data science capabilities throughout organizations.

Next week, DataCamp’s Data Science Evangelist, Adel Nehme, will host a webinar with Sheil Naik, Global Data Technical Trainer at Bloomberg, on how Bloomberg makes use of blended studying to show information evaluation with Python, and the way these evaluation methods can be utilized to judge behavioral change and the success of upskilling initiatives.

Blended studying at Bloomberg

An information-driven workforce at Bloomberg makes use of data science to make data-driven enterprise selections, improves processes with information, and creates data-driven information tales. Sheil Naik leads a company-wide blended studying program centered on Data Analysis with Python which contains 12 to 20 hours of studying by way of DataCamp per quarter, three dwell 1.5-hour classroom classes led by technical consultants, and a closing challenge utilizing Bloomberg information as the ultimate deliverable.

The webinar will dive deep into the advantages of blended studying. The mixture of DataCamp programs and digital in-person classroom classes permits for higher consistency and
flexibility throughout regional and scheduling constraints and will increase the capability of sophistication sizes the world over.

Evaluating upskilling success

A technique for evaluating direct return on funding for coaching applications is the Kirkpatrick Model of Evaluation. In transient, the Kirkpatrick Model proposes 4 completely different analysis ranges: the preliminary response following a coaching program, studying analysis, behavioral change, and the enterprise affect of gained expertise.

In the webinar on November 4, Sheil will deep dive into how Bloomberg operationalized the Kirkpatrick Model of Evaluation by measuring and evaluating post-training behavioral change for all learners in this system.

Reap the advantages of information upskilling

This solely scratches the floor of Adel’s and Sheil’s dialogue on creating a data-driven workforce. To discover out extra about how your group can scale customized studying, consider coaching success, and tie coaching to enterprise targets, be part of our webinar on November 4th.


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