Sony Network Communications launches 'D.LiT', a corporate data literacy training program

Sony Network Communications released 'D.LiT' on April 7, an e-learning solution for corporations to cultivate data literacy and build data-driven organizational cultures.
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  • 📰 Published: April 7, 2026 at 19:00
  • 🔍 Collected: April 7, 2026 at 10:32
  • 🤖 AI Analyzed: April 20, 2026 at 23:03 (324h 31m after Collected)
Sony Network Communications Inc. will launch "D.LiT", an e-learning solution for cultivating corporate data literacy, on April 7. This service will be provided through the learning community "Digital University Hub (DUH)" within the education platform service "Bownet OpenLEAP" provided by Bownet Systems Inc.

D.LiT is an e-learning service that raises the baseline of organizational data literacy. It provides learning opportunities to broaden the base of data utilization and supports the cultivation of a data-driven culture in response to challenges such as "wanting to promote data utilization across the entire company", "wanting frontline members to acquire judgment based on data", and "wanting to build an organization that can utilize data autonomously without relying on data scientists".

**■ "D.LiT" Offered Courses ("Understanding" and "Utilization")**

① Introduction to Data Analytics
Participants will gain a bird's-eye view of the data analytics world and acquire sufficient knowledge/skills to take the first step. They can step-by-step learn the importance and mindset of data utilization, descriptive statistics, visualization, and the basics of machine learning (supervised learning), and finally gain practical insights into the process of how to start data analytics.
Additionally, because it does not assume advanced mathematical formulas or specialized knowledge, and emphasizes visual understanding and careful explanation, even those who feel weak in mathematics can steadily step up.

[Course Content | 41 Videos (3.5 hours) | Standard Learning Time: 10 hours | Available Period: 3 months]
- Importance and mindset of data utilization
- Rapid learning of descriptive statistics
- Basics of visualization
- Introduction to supervised learning
- Accuracy evaluation metrics, challenge exercises
- How to start data analytics
- Closin