Blended learning is a combination of online learning and face-to-face instruction: in online learning and corporate training, traditional learning and online learning are integrated according to the system theory viewpoint and performance method.
Its goal is to make learning easier and more convenient, and to learn from the reasonable part of corporate and organizational performance indicators, so as to achieve the best learning effect.
Now the company's product development and production processes are gradually digitized, which indicates that data driving forces are becoming more and more important.
Learning and development have become the core of today's business strategy, and it has become particularly important for everyone in the company to have the necessary data analysis capabilities.
Earlier this month, DataCamp's data analysis expert Adel Nehme and Bloomberg global data technology trainer Sheil Naik co-hosted a webinar to discuss how Bloomberg uses blended learning to Teach Python data analysis and how these analysis techniques evaluate the success rate of behavior changes and skill improvement.
Bloomberg's blended learning model
Bloomberg Limited Partnership (Bloomberg LP), abbreviated as Bloomberg, is a global business, financial information and financial information media, founded by Michael Bloomberg in 1981 and headquartered in New York, USA City of Manhattan, with more than 19,000 employees and operations in 185 countries and regions around the world .
Bloomberg's products include Bloomberg terminals, which provide financial and business professionals with data, news and corresponding analysis tools .
Bloomberg's enterprise solution is to use technology to help clients acquire, integrate, distribute and manage cross-organizational data and information.
Bloomberg's data analysts apply data science to business decision-making , and obtain reliable data for reporting by optimizing the data processing process. Sher Neck is in charge of the company-wide blended learning project, mainly focusing on using Python for data analysis .
The learning content of the project includes 12-20 hours of learning through DataCamp every quarter, 1.5 hours of offline lectures by technical experts, and a final homework for practical exercises using Bloomberg data.
The method of blended learning also includes online webinars. In this online webinar, the benefits of blended learning are also discussed in depth.
Blended learning combines DataCamp offline courses and online seminars to enhance the flexibility and continuity of students' learning, and expand (Bloomberg) the scale of data learning worldwide .
Evaluate the effectiveness of skill enhancement
One way to evaluate the direct return on investment of a training program is to use the Kirk Patrick evaluation model .
The model is divided into four different evaluation levels: initial response after the training plan, learning evaluation, behavior change, and actual business value .
In the webinar on November 4th, Schell discussed in depth how Bloomberg will implement the Kirk Patrick evaluation model measurement and the progress of all trainees after training.
Conclusion
The above is just the tip of the iceberg of the discussion between Adel and Schell on how to arm employees with data. In fact, there are more content, such as how companies can evaluate the success rate of training through customized learning, and how to combine training with business goals.
These are all discussed in this web conference and will have an important impact on future business practices.
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