キカガク List of Products and Services

The Ministry of Agriculture, Forestry and Fisheries aims to utilize BI tools to enhance the IT literacy of its staff, while also developing data scientist talent within the ministry to strongly promote the "Agricultural DX Initiative" for effective data utilization. As the aging of farmers and labor shortages progress, the use of data analysis and advanced technologies is essential not only in the agricultural, forestry, and fisheries sectors but also in administration. In response, we conducted a three-month offline training program for young staff members, covering "Introduction to Data Science, Fundamentals, and Practical Applications." 【Case Overview】 ■ Duration: 3 months (27 days) ■ Format: Offline training ■ Number of participants: 15 ■ Target audience: Young staff members *For more details, please refer to the PDF document or feel free to contact us.

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The Ministry of Agriculture, Forestry and Fisheries anticipates that the use of AI and data will become commonplace across various industries. Therefore, they believe there is a need for personnel who can plan and promote projects while possessing the foundational knowledge required as DX promotion personnel. As the aging of farmers and labor shortages progress, the utilization of data analysis and advanced technologies is essential not only in the agricultural, forestry, and fisheries sectors but also in administration. In response, we conducted e-learning and offline training for middle management, following "Introduction to AI" as a form of "pre-learning," which included courses such as "Introduction to Data Science" and "Practical Data Analysis." [Case Overview] ■ Duration: 1.5 months ■ Format: e-learning + offline ■ Number of participants: 20 ■ Target audience: Middle management *For more details, please refer to the PDF document or feel free to contact us.

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A major real estate company needs to cultivate more personnel who can utilize advanced technology in practice to maintain its competitive advantage. It is urgent to first raise the overall literacy and develop the management team. They have been struggling with analog data and wish to conduct training and lectures to overcome their weaknesses and grasp the key points for promoting digital transformation (DX). Therefore, they are considering an online training program where participants can choose from various sessions, including "Company-wide Literacy Improvement," "Lectures for Executives," and "Basic/Practical" content. [Case Overview] ■ Duration: 4.5 hours ■ Format: Online training ■ Number of participants: 140 ■ Target audience: All employees/Management *For more details, please refer to the PDF document or feel free to contact us.

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A major electronics and precision equipment manufacturer has set the development of globally active human resources as a policy from the top management, with a particular focus on nurturing AI talent that can lead to new business development. They were looking for courses that systematically teach machine learning and deep learning from a theoretical perspective, and conducted training sessions including "Fundamentals of Machine Learning" and "Fundamentals and Practice of Deep Learning." According to the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.2, and the average score for the perceived applicability (on a 5-point scale) was 4.0. [Case Summary] ■ Duration: 3 days ■ Format: Online training ■ Number of participants: 27 ■ Target audience: Engineers *For more details, please refer to the PDF document or feel free to contact us.

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A major electronics and precision machinery manufacturer wanted to improve literacy across the company to enable cross-departmental collaboration on project promotion, not only among engineers but also in sales and service departments. They are engaged in developing service businesses utilizing advanced technologies such as AI and IoT, and there is a need for a systematic training curriculum to cultivate personnel who can drive projects. As a result, they conducted a one-day online training program that included not only "basics" such as "Introduction to DX/AI" but also "case studies." 【Case Overview】 ■ Duration: One-day program ■ Format: Online training ■ Number of participants: 165 ■ Target audience: Technical and sales personnel *For more details, please refer to the PDF document or feel free to contact us.

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In major general trading companies, it was necessary to acquire the skills to grasp where AI can be utilized and to develop a vision for solving business challenges through the use of AI. We held training equivalent to the apprentice level of data engineering and data science skills as defined by the Data Scientist Association. After preliminary learning sessions such as "Introduction to AI," we conducted training on "Basics" and "Data Analysis." [Case Overview] ■ Duration: 7 days ■ Format: Offline training ■ Number of participants: 8 ■ Target audience: New employees *For more details, please refer to the PDF document or feel free to contact us.

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At a major comprehensive electronics manufacturer, the digitalization and DX promotion of the HR division has been delayed, and the recent challenge has been the discovery and development of in-house HR data analysts. Most participants are beginners in data science and need to learn foundational mathematics, statistics, and programming from scratch in terms of data analysis. Therefore, we conducted e-learning and online training starting from the basics, such as "Fundamentals of Data Analysis." As for the survey results, the average satisfaction score for the training (on a scale of 5) was 5.0, and the average score for difficulty and understanding (on a scale of 5) was 3.6. [Case Overview] - Duration: 4 months - Format: e-learning + online - Number of participants: 5 - Target audience: Beginners in data science *For more details, please refer to the PDF document or feel free to contact us.

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A major pharmaceutical company was facing a shortage of personnel among its engineers who could execute and promote projects with an understanding of advanced technologies such as AI. To address the anticipated increase in AI projects, the company aimed to increase the number of engineers skilled in Python and held a 2.5-day online training session. In addition to "Introduction to Python" as a form of "pre-learning," training sessions on "Data Science" and "Practical Machine Learning" were also conducted. [Case Overview] ■ Duration: 2.5 days ■ Format: Online training ■ Number of participants: 16 ■ Target audience: Engineering staff *For more details, please refer to the PDF document or feel free to contact us.

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At a major manufacturing infrastructure company, there was a desire to cultivate many leaders who could plan PoC projects and develop AI models by working backwards from internal challenges, enabling them to lead actual projects. It is necessary to develop personnel who not only understand technology but also possess the drive for commercialization, marketing skills, and management abilities. Therefore, after "pre-learning" such as "Introduction to Python Machine Learning" targeted at engineers, we conducted a 6-month program of e-learning combined with offline training, including "Practical Machine Learning" and "Practical Deep Learning." [Case Overview] ■ Duration: 6 months ■ Format: e-learning + offline ■ Number of Participants - Basics: 55 people - PBL: 24 people ■ Target Audience: Engineers *For more details, please refer to the PDF document or feel free to contact us.

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At a major automobile manufacturer, there was a need to increase the number of personnel who can effectively utilize accumulated data in a society where autonomous driving is just around the corner. As a result, after "Introduction to Python Machine Learning" as a "pre-learning" phase, we conducted a total of 6 months of e-learning plus offline training, including "Practical Machine Learning" and "Data Analysis/AI Development." According to the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.67, and the average understanding score (on a 5-point scale) was 4.8. 【Case Overview】 ■ Duration: 6 months ■ Format: e-learning + offline training ■ Number of participants: 20 ■ Target: Quality Control Department *For more details, please refer to the PDF document or feel free to contact us.

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The Defense Equipment Agency required education to elevate machine learning beginners to a practical level for research and utilization of AI technology. Therefore, after a "pre-learning" session such as "Introduction to Python Machine Learning," we conducted an offline training program consisting of "practical" sessions and "comprehensive exercises" over two 5-day sessions. As for the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.9, and the average clarity of explanation score (on a 5-point scale) was 4.7. [Case Overview] ■ Duration: 5 days × 2 sessions ■ Format: Offline training ■ Number of participants: 20 ■ Target audience: Staff of the Aviation Equipment Research Institute *For more details, please refer to the PDF document or feel free to contact us.

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In a major transportation group company, there are only a handful of individuals capable of analyzing the vast amounts of data that amount to tens of millions of cases generated daily. When data analysis is requested from other departments, time lags occur, which can delay problem-solving. The immediate goal is to place data analysis specialists in each department and ensure that all employees can perform basic data operations. To achieve this, we conducted a three-day e-learning and online training program that included content such as "Basics of Data Analysis," "Introduction of Tools like Excel," and "Practical Exercises." [Case Overview] ■ Duration: 3 days ■ Format: e-learning + online ■ Number of Participants: 100 ■ Target Audience: All employees *For more details, please refer to the PDF document or feel free to contact us.

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A major convenience store company was looking for training that would lead to the discovery of competitive advantages through workshops with members from other departments, allowing participants to develop a thought process that transitions from identifying challenges to considering the use of AI. As a result, we conducted a customized training program for the company, adapting the content of existing training for the retail industry. The survey results showed an average satisfaction score of 4.6 out of 5 for the training, and an average score of 4.6 out of 5 for the clarity of the instructor's explanations. 【Case Overview】 ■ Duration: 1 day ■ Format: Offline training ■ Number of participants: 16 ■ Target audience: Business professionals *For more details, please refer to the PDF document or feel free to contact us.

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At a major SIer group company, there are multiple tasks that require data analysis, engineering, and data management skills, so it was necessary to establish a foundation from the stage of new employees. Therefore, after conducting "foundational" training such as "AI/Cloud/IoT Basics" and "practical" training such as "Practical Machine Learning," we implemented a 1.5-month e-learning plus offline training program culminating in a "Comprehensive Exercise Results Presentation." As for the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.88, and the average understanding score (on a 5-point scale) was 4.78. [Case Overview] ■ Duration: 1.5 months ■ Format: e-learning + offline ■ Number of participants: 50 ■ Target audience: New employees *For more details, please refer to the PDF document or feel free to contact us.

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At a major Sler company, employees are learning the basics of Python, how to utilize the cloud, and model evaluation on a GUI. However, there is a lack of employees who understand the image and methods for implementing AI and machine learning. As an organization, the immediate challenge is to promote DX and develop more personnel who possess advanced technologies such as AI and machine learning, enabling them to contribute effectively in the field right after training. Therefore, we conducted a total of four days of online training, consisting of "Applied Technology Acquisition Training" and "PoC Training." [Case Overview] ■ Duration: 4 days ■ Format: Online training ■ Number of participants: 160 ■ Target audience: Business professionals and engineers *For more details, please refer to the PDF document or feel free to contact us.

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At Sumitomo Heavy Industries, many employees were in a situation where they could not envision how to utilize advanced technologies by working backward from the challenges. It is necessary to cultivate more personnel who can apply advanced technologies in practice to maintain competitive advantage. Therefore, after the "Business Planning Data Science" curriculum, we conducted an online training session focused on practical application. [Case Overview] ■ Format: Online training ■ Number of participants: 400 ■ Target audience: Business professionals *For more details, please refer to the PDF document or feel free to contact us.*

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At a major consulting firm, there are multiple tasks that require data analysis skills, so it was necessary to cultivate a mindset that fully understands and utilizes how to output and explain through case studies. Therefore, after a "Pre-learning" session titled "Introduction to Python Machine Learning," a two-day e-learning and online training focusing on both fundamentals and practical application was conducted. As a result of the survey, the average score for understanding (on a 5-point scale) was 4.4, and the average score for the image of utilization (on a 3-point scale) was 2.87. [Case Overview] ■ Duration: 2 days ■ Format: e-learning + online ■ Number of participants: 17 ■ Target audience: Consultants *For more details, please refer to the PDF document or feel free to contact us.

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At Sumitomo Heavy Industries, Ltd., we were considering a customized training program that would allow us to learn about planning PoC projects and developing AI models by working backward from our challenges. We also introduced a specialized machine learning course in our internal specialized technical education selection program to cultivate personnel who can lead DX projects in the actual field. As a result, after a "pre-learning" session such as "Introduction to Python Machine Learning," we conducted a total of 6 months of e-learning plus offline training. [Case Overview] ■ Duration: 6 months ■ Format: e-learning + offline training ■ Number of Participants: 22 ■ Target Audience: Engineers *For more details, please refer to the PDF document or feel free to contact us.

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In large commercial facility companies, there is a strong emphasis on each employee's attitude of "shaping their own career," and they aim to provide opportunities for individuals to change their own careers. Additionally, addressing the shortage of IT personnel is a significant challenge by 2030, which involves establishing an internal training system to cultivate talent from IT beginners to those who can thrive in the company's digital department. As a result, a two-month online training program was conducted, covering topics such as "data utilization," "digital and AI utilization," and "project planning." [Case Overview] - Duration: 2 months - Format: Online training - Number of participants: 100 - Target audience: All employees *For more details, please refer to the PDF document or feel free to contact us.

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A major financial institution (internet bank) needed a training program that not only focuses on technical aspects but also connects with business challenges, allowing data scientists to develop a broad understanding within the company. As a result, we conducted one-day online training sessions starting with the basics of "Introduction to DX/AI" and "Introduction to DX Projects," as well as case studies on "Visual Inspection" and "Work Style Reform." According to the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.7, and the average skill proficiency score (on a 3-point scale) was 3.7. [Case Overview] ■ Duration: One-day completion ■ Format: Online training ■ Participants: 27 people ■ Target: New employees *For more details, please refer to the PDF document or feel free to contact us.

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At the national university, as part of the graduate program, it was necessary to conduct AI training for faculty to promote the introduction of AI into their research. After a two-week "pre-learning" session titled "Introduction to Python Machine Learning," a one-week online training was conducted. According to the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.88, and the average score for the image of utilization (on a 3-point scale) was 3. [Case Overview] ■ Duration: 1 week ■ Format: E-learning + Online ■ Number of Participants: 20 ■ Target Audience: Faculty *For more details, please refer to the PDF document or feel free to contact us.

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As a challenge for financial solution companies, the need for collaboration with external partners has been increasing year by year; however, there is a shortage of personnel with the skills to implement data analysis and utilization in the field. It is essential to have personnel who can collaborate with external partners to utilize business performance data to develop services for financial institutions. Therefore, we conducted an online training program (5 days) that includes "Introduction to Data Analysis (1 day)," "Time Series Data Analysis (2 days)," and "Case Practical Analysis (2 days)." [Case Overview] - Duration: 5 days - Format: Online training - Number of participants: 4 - Target audience: Engineers *For more details, please refer to the PDF document or feel free to contact us.

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At a major foreign-affiliated consulting firm, there was a company-wide demand for the development of personnel who can analyze and utilize customer data in order to solve customer challenges in a data-driven manner. To acquire the skills necessary to conduct data analysis using Excel and BI tools and to raise issues for customers, an online training program (1.5 days) was conducted for all employees. As a result of a survey, the training satisfaction score (on a scale of 5) was 4.0 points. [Case Overview] ■ Duration: 1.5 days ■ Format: Online training ■ Number of participants: Over 500 ■ Target audience: All employees *For more details, please refer to the PDF document or feel free to contact us.

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At NTT Data Corporation, there was a challenge of lacking personnel who can develop business plans and promote projects from scratch using AI and machine learning. In response, we conducted training to cultivate individuals who can acquire the foundational knowledge necessary for data science to promote projects, understand the overall picture of DX projects, and plan PoCs from scratch. The average score for training satisfaction and clarity of the instructor's explanations (on a scale of 5) was 4.1 according to the survey results. [Case Overview] ■ Duration: 3.5 days ■ Format: Online training ■ Number of participants: 60 ■ Target audience: Beginners in AI *For more details, please refer to the PDF document or feel free to contact us.

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At NTT Data Corporation, there is a shortage of personnel who can execute and promote AI projects with an understanding of technology. There have been instances where individuals participated in projects with a shallow understanding of AI technology, raising concerns about appropriate leadership and promotion. To enhance the ability to explain and propose to clients based on a systematically unified body of knowledge, we conducted intensive training aimed at obtaining the E qualification. As a result, all participants passed the E qualification, and we were able to cultivate personnel capable of promoting AI projects through 20 days of intensive lectures. [Case Overview] ■ Duration: 20 days ■ Format: Online training ■ Number of participants: 22 ■ Target audience: Young employees *For more details, please refer to the PDF document or feel free to contact us.

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The "Kikagaku Long-Term Course" is a program where you can learn cutting-edge technologies and data science with AI integration. If you encounter any unclear areas or get stuck due to errors, you can ask questions anytime through chat or the FAQ service. You can also consult about study schedules and methods, as well as other non-technical matters. The exercises are designed so that there are no provided answers, allowing you to experiment and solve them on your own, after which you can enhance your understanding through the instructor's explanations. 【Features】 ■ Acquire cutting-edge technologies ■ Eligible to take the E certification exam ■ Certified as a course for acquiring skills for the Fourth Industrial Revolution ■ Up to 70% off tuition fees with the use of grants ■ Experienced instructors *For more details, please refer to the related links or feel free to contact us.

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Do you have challenges such as 'We have completed the requirements definition, but we don't know how to proceed from there' or 'We want to be able to create AI in-house in the future'? At Kikagaku, not only do we have development by partner companies with numerous achievements, but our DX consultants also support the entire project as project managers. We provide not just AI solutions, but also total support towards in-house development. [Features] ■ AI engineers and data scientists with extensive experience ■ Services provided to over 500 clients ■ Project management by our PMs ■ Combined with talent development ■ Support for in-house development of AI model development and data utilization *For more details, please refer to the related links or feel free to contact us.

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Have you faced challenges such as 'We have decided to promote DX, but we don't know where to start' or 'We are unable to design and provide appropriate learning'? Our 'DX Talent Development Consulting' formulates department-specific talent development roadmaps tailored to different levels, such as management, leadership, and general staff. We provide support to ensure that it goes beyond superficial skill acquisition. We have numerous DX consultants, AI engineers, and data scientists who have provided services to over 500 clients. [Features] ■ Formulation of talent development roadmaps for DX personnel by level and department ■ Strategic design based on reverse engineering from practical application ■ Assessments that quantitatively visualize talent skills for all employees and departments ■ Ability to evaluate employee skill proficiency and suitability ■ A wealth of experienced AI engineers and data scientists *For more details, please refer to the related links or feel free to contact us.

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Are you facing challenges such as 'I don't know where to start with promoting DX' or 'I'm not sure if I have really acquired the skills'? Our company visualizes skills based on the Digital Skill Standards of the Ministry of Economy, Trade and Industry, and provides assessments before and after implementing training and e-learning human resource development measures. We propose human resource development tailored to your company's needs, such as by job type or industry. Please feel free to contact us. [Training Content (Excerpt)] <Job-specific> ■ Business Planner / Project Manager - DX Design Thinking and Problem Extraction Course ■ Data Scientist - Practical Machine Learning Course ■ Data Engineer - Information Security Course *For more details, please refer to the related links or feel free to contact us.

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"Project Based Learning" is a problem-solving training program where participants bring real-world challenges and solve them through data analysis and the use of AI. Once the challenges are prioritized based on feasibility, usefulness, and economic viability, a project execution plan is formulated. Regarding the PoC design, the approach and technical direction will be determined with feedback from our consultants. The results of the trial and error will be compiled into a report and presented as the final deliverable. 【Implementation Steps】 ■Step 1: Challenge Hearing and Theme Selection ■Step 2: Formulation of Execution Plan ■Step 3: Implementation and Results Reporting *For more details, please refer to the PDF document or feel free to contact us.

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『Kikagaku for Business』 is a platform that quantitatively evaluates and visualizes DX talent. The participant screen features a dashboard, participant rankings, and the ability to check training schedules. It measures five skill axes in three stages. The administrator screen allows for viewing an overview of learning progress and individual learning progress, as well as downloading reports in CSV format. 【Features】 ■ Compliant with the Ministry of Economy, Trade and Industry's "DX Literacy Standards" ■ Quantitative evaluation of knowledge, thinking skills, and mindset ■ Visualization of data scientist skills ■ Measurement of five skill axes in three stages ■ Assessment of capabilities through knowledge and practical tests *For more details, please refer to the PDF materials or feel free to contact us.

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We would like to introduce the courses offered by KIKAGAKU Co., Ltd. In the "DX First Step Course" for all employees, we address not only technology but also the qualities of personnel and organizations necessary to promote DX. Through case studies, participants can acquire the foundational knowledge needed to advance DX. We also offer a wide range of courses tailored for business architects, designers, and data scientists. 【Lineup (excerpt)】 <DX Literacy Standard for All Employees> ■ Introduction to Data Science Course ■ Fundamentals of IT and Software Course ■ G Certification Preparation Course and Test ■ IT Passport Preparation Test ■ Excel Beginner to Advanced Hands-On Course *For more details, please refer to the PDF materials or feel free to contact us.

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This document provides a detailed explanation of supporting corporate DX (digital transformation) centered around education. It includes an overview of KIKAGAKU's human resource development services, the status of personnel driving corporate transformation, solutions for initiatives that are struggling with talent acquisition, the roles of personnel promoting DX, and various educational plans. Please feel free to download and read it. 【Contents (excerpt)】 ■ Supporting corporate DX in the human resource area centered on "education" ■ Overview of KIKAGAKU's human resource development services ■ Achievements ■ Status of company-wide DX initiatives ■ Status of personnel driving corporate transformation *For more details, please refer to the PDF document or feel free to contact us.

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This document includes numerous examples of cases where training conducted by KIKAGAKU Co., Ltd. has been utilized. We present cases from major automobile manufacturers, financial solution companies, the Ministry of Agriculture, Forestry and Fisheries, national universities, and more, along with the challenges, backgrounds, and survey results. Please feel free to download and read it. [Contents (excerpt)] ■ Manufacturing ■ Retail ■ Financial Insurance ■ Construction Real Estate ■ Sler *For more details, please refer to the PDF document or feel free to contact us.

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■ DX Talent Development Roadmap Linked to Management Strategy We have a track record of working with over 500 clients and have gained high satisfaction from various leading companies in the industry. We provide a comprehensive development program tailored to each DX talent through our talent development roadmap. ■ Assessment to Visualize Individual Digital Skills Based on the Ministry of Economy, Trade and Industry's digital skill standards, we visualize skills and provide assessments before and after implementing training and e-learning talent development initiatives. ■ Customized Training to Solve Real Issues We conduct hearings on corporate challenges and needs, and customize training in a goal-backward approach. We offer original training content tailored to individual company issues, leading to solutions for real challenges. ■ PBL Training to Develop Talent Capable of Utilizing Real Data Our data scientists and AI engineers analyze clients' real data to create practical training programs. Since the training is based on real data, we provide programs that can be utilized from the next day, tailored to individual company needs.

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