Kobo Training

Kobo Training is a practical training service provided by Surikobo for corporations.

We design training tailored to corporate challenges, including Python, statistics, data visualization, manufacturing data analysis, production planning, inventory optimization, and simulation. Rather than just programming training, we emphasize interpreting data, creating models, and applying them to business decisions.

Target Audience

• Engineers who want to use Python or data analysis in their work
• Staff who want to take a step beyond Excel-centered work
• Production technology and quality control personnel who want to utilize data from the manufacturing floor
• For those who want to learn the basics of AI and machine learning from a practical perspective
• For those who want to incorporate mathematical optimization and simulation into their work
• Those in positions to promote internal DX
• Companies that want to develop data utilization talent

Training Themes We Can Offer

Field	Training Themes
Python basics	Python Introduction, pandas, NumPy, Jupyter
Data Analysis	Data preprocessing, visualization, and exploratory data analysis
Statistics & Machine Learning	Probabilistic statistics, regression analysis, classification, demand forecasting, anomaly detection
Manufacturing Data Analysis	Quality control, process capability, equipment data, and utilization rate analysis
Simulation	Queues, inventory, processes, personnel allocation, capital investment consideration
Mathematical optimization	Linear Planning, Integer Planning, Production Planning, Allocation, Scheduling
Utilizing generative AI	Utilizing ChatGPT, improving operational efficiency, prompt design, and internal applications
dashboard	Visualization, BI, Streamlit, React demos, decision-making screens

Examples of Training Courses

Course Name	Contents	Period
For manufacturingPythonIntroduction to Data Analysis	Eligibility: Production Technology, Quality Control,DXFor the Promotion Department Contents: PythonThe basics,Jupyter NotebookHow to use it,pandasData aggregation, preprocessing, and visualization of manufacturing data reach the goal: ExcelData that is difficult to handle on its ownPythonYou will be able to aggregate and visualize data	1Day -2days
Manufacturing Data Analysis and Visualization Training	Eligibility: Engineers and managers who want to utilize on-site data Contents: How to read process data, handling missing and outlier values, aggregating by process and product, visualizing variation, and confirming quality indicators reach the goal: You will be able to organize key points for improvement from on-site data.	1Day -3days
Introductory Simulation Training	Eligibility: Production technology, production management, technical planning,DXPromotion Department Contents: Queue models, inventory simulation, process simulation, comparison of capital investment and staffing reach the goal: You will be able to compare multiple initiatives not only through intuition and experience, but also through simulation.	1Day -3days
Introductory Mathematical Optimization Training	Eligibility: Production management,SCM/Logistics/DXPromotion & Technology Department Contents: Linear programming problems, integer programming problems, allocation problems, and production planning problemsPythonHandle with reach the goal: Acquire the ability to express operational constraints as mathematical models and think about optimization problems	2Day -3days
generateAIBusiness Utilization Training	Eligibility: Planning, Management, Technology,DXPromotion Department Contents: Design prompts usable in work, how to create materials, research, summarize, and assist with code, as well as important points and rules for internal implementation. reach the goal: generateAIAcquire the basics for safely and practically utilizing	Half-day or more1days

Training Format

• Online Training
• In-person Training
• Hands-on Training
• In-house Study Sessions
• Half-day training
• One-day training
• 2 to 3 days of intensive training
• Continuing training divided into multiple sessions
• Introductory Training for Management
• Implementation exercises for engineers

Features of Kobo Training

• Learn by connecting mathematics, data analysis, and implementation
• Focus not only on how to use Python and AI, but also on breaking them down into business challenges.
• Compatible with manufacturing production planning, inventory, quality, and process improvement
• Capable of handling simulations and mathematical optimization
• Content can be adjusted to match the learner’s level
• Not only classroom learning, but also exercises, demos, and case studies can be incorporated.
• You can also connect to Kobo advisory, Kobo consulting, and Kobo Works implementation after training.

The state to aim for after training

• Data can be aggregated and visualized
• Identifying points for improvement from on-site data
• Determine where to use AI and machine learning
• Compare measures through simulation
• Business constraints can be considered as mathematical models
• Enable internal conversations about data utilization
• Advance the consideration of PoC and DX initiatives

Customization Support

Kobo Training allows you to tailor the content to participants’ levels, industries, departments, challenges, and available data.

• For Python Beginners
• For Excel users
• For Engineers
• For Managers
• For the Manufacturing Industry
• Exercises using in-house data
• Overview for Management
• Planned Support Training for DX Promotion Departments

If necessary, exercises using anonymized data or sample data are also supported.

Process until implementation

1. Contact Information

You will briefly share the training objectives, target audience, expected number of participants, and the topics you want to cover.

2. Initial Hearing

We check participants’ prerequisite knowledge, business challenges, usage data, and expectations after the training.

3. Proposal of training theme, duration, and format

We propose formats and curricula tailored to your purpose, such as half-day, one-day, multi-day, and continuing training.

4. Curriculum adjustment

Adjustments are made according to exercise data, lecture scope, hands-on volume, and internal circumstances.

5. Training Implementation

Lectures, exercises, Q&A sessions, and case studies are combined to be conducted.

6. Follow-up

If necessary, we will review and organize PoC candidates, connect with Kobo advisory and Kobo consulting.

Suitable Consultations

For companies that wish to utilize Python, data analysis, AI, simulation, and mathematical optimization within their company, we offer training tailored to their objectives and participant levels.

Feel free to consult us about data utilization in manufacturing, DX talent development, in-house study sessions, hands-on training, and more.