Educating and Training of Data Scientists 2019
Language:
Japanese
Product Code No:
C61108500
Issued In:
2019/06
#of Pages:
151
Publication Cycle:
Format:
PDF
Geographic Coverage:
Japan
Industry:
Jump to the Japanese Page:
Coverage: (Product/service)
Educating and Training of Data Scientists
Research Target:
IT businesses and user companies
Research Content:
I Overview
- What is a Data Scientist?
- Outline of a data scientist
- Educational measures to train data scientists
- Laws and regulations relating to data
- Trend of educating/training data scientists
- Trend of educating/training at private companies
- Trend of educating/training at universities
- Forecast of size of data-related human resources (FY2018-FY2022)
- Suggestions:
- Companies are required to have both data scientists and data management.
- Progress of technologies may alter what is needed in data scientists for the future.
II Education and Utilization of Data Scientists at IT Businesses
- Attempt by Major IT Businesses for Educating and Training of Data Scientists
- Business strategies relating to data scientists
- Training courses and modules
- Certification systems
- Education at Analysis Specialty Businesses
- Business strategies relating to data scientists
- Advantages
- Training courses and modules for within the company
- Training courses and modules for outside the company
- Future plans
III Education and Utilization of Data Scientists at User Companies
- Attempts by the Enterprises
- Business strategies relating to data scientists
- In-house and outsourcing of analytical tasks
- Methods of educating and training of data scientists
- Strategies and Attempts regarding Research Scientists at RAKUTEN
- Business strategy
- What the Rakuten Institute of Technology most focuses on
- Advantages of having an in-house research institute
IV Profiles of IT Businesses
6 enterprises
V Profiles of User Companies
6 users