Matsuo Institute to Launch 'GCI 2026 Summer' in April: A Data Science Course for Professionals to Learn from Scratch
Matsuo Institute will open the 'GCI 2026 Summer' data science course for working professionals in April 2026. This 15-session online program is designed for individuals even without programming experience to acquire practical data analysis skills.
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- 📰 Published: April 2, 2026 at 01:00
- 🔍 Collected: April 1, 2026 at 16:47
- 🤖 AI Analyzed: April 21, 2026 at 08:44 (471h 56m after Collected)
Matsuo Institute, Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Nobutaka Kawakami) will launch the 'GCI Global Consumption Intelligence Course 2026 Summer ~AI & Data Science Practice~' starting April 2026. This course is part of the 'Matsuo Lab AI Program,' an AI education initiative for working professionals provided by Matsuo Institute. It is a 15-session practical course where even business people without prior programming experience can systematically learn data analysis and analytical skills from the ground up.
## Background
In recent years, the importance of data science skills—deriving new insights and relationships from data—has rapidly increased across all fields, including healthcare, economics, management, and marketing. On the other hand, many business professionals feel the need for data utilization but do not know where to start, and the lack of opportunities to learn systematically remains a challenge.
Reflecting this situation, Matsuo Institute has launched a program where professionals without programming experience can consistently learn from the basics of data science to practical application in business. It broadly targets individuals aiming to acquire data utilization skills, such as planning and marketing professionals, consultants, and engineers in business companies.
*This course is reorganized and provided for professionals by Matsuo Institute, based on the insights from lectures and research conducted by Yutaka Matsuo at the University of Tokyo. For information on related courses at the University of Tokyo, please visit [here](https://gci2.t.u-tokyo.ac.jp/).
## Course Overview
In this course, participants will systematically learn over 15 sessions, starting with Python programming basics, followed by data processing and visualization, machine learning methods such as supervised and unsupervised learning, database operations using SQL, and AI business application proposals. The design allows participants to acquire skills applicable at a professional level through participation in Kaggle-style data analysis competitions and final project exercises.
### Key Features
- A systematic curriculum from basics to application that can be started from zero programming experience.
- Practical learning content covering data processing, visualization, machine learning, and SQL.
- Practical opportunities through participation in data analysis competitions (Kaggle format).
- A community (Slack) where participants from diverse industries and backgrounds can learn from each other.
- Archived video support for those who find it difficult to participate in real-time.
- Available nationwide via online (Zoom) sessions.
### Curriculum (Excerpt)
(The provided text ends with a partial image URL referencing the curriculum excerpt)
## Background
In recent years, the importance of data science skills—deriving new insights and relationships from data—has rapidly increased across all fields, including healthcare, economics, management, and marketing. On the other hand, many business professionals feel the need for data utilization but do not know where to start, and the lack of opportunities to learn systematically remains a challenge.
Reflecting this situation, Matsuo Institute has launched a program where professionals without programming experience can consistently learn from the basics of data science to practical application in business. It broadly targets individuals aiming to acquire data utilization skills, such as planning and marketing professionals, consultants, and engineers in business companies.
*This course is reorganized and provided for professionals by Matsuo Institute, based on the insights from lectures and research conducted by Yutaka Matsuo at the University of Tokyo. For information on related courses at the University of Tokyo, please visit [here](https://gci2.t.u-tokyo.ac.jp/).
## Course Overview
In this course, participants will systematically learn over 15 sessions, starting with Python programming basics, followed by data processing and visualization, machine learning methods such as supervised and unsupervised learning, database operations using SQL, and AI business application proposals. The design allows participants to acquire skills applicable at a professional level through participation in Kaggle-style data analysis competitions and final project exercises.
### Key Features
- A systematic curriculum from basics to application that can be started from zero programming experience.
- Practical learning content covering data processing, visualization, machine learning, and SQL.
- Practical opportunities through participation in data analysis competitions (Kaggle format).
- A community (Slack) where participants from diverse industries and backgrounds can learn from each other.
- Archived video support for those who find it difficult to participate in real-time.
- Available nationwide via online (Zoom) sessions.
### Curriculum (Excerpt)
(The provided text ends with a partial image URL referencing the curriculum excerpt)