Kobo Academy

Kobo Academy is an open learning content provided by Surikobo.

We offer Surikobo’s expertise as systematic courses and teaching materials, covering Python, statistics, machine learning, manufacturing data analysis, mathematical optimization, simulation, and decision support. It aims not just as a simple programming course, but as a learning framework for applying mathematics to practical decision-making.

Fields of Study

Field	Contents
Python	Basic grammar, pandas, NumPy, Jupyter, visualization
Data Analysis	Preprocessing, aggregation, visualization, and exploratory data analysis
Statistics	Probability distribution, estimation, testing, regression analysis, Bayesian
Machine Learning	Regression, classification, demand forecasting, anomaly detection, recommendation
Manufacturing Data Analysis	Quality control, process capability, operating rate, equipment data
Simulation	Queues, inventory, projects, staffing, capital investment
Mathematical optimization	Linear Planning, Integer Planning, Allocation, Production Planning, Scheduling
Decision Support	Measure comparison, KPI design, risk assessment, decision intelligence

Course System

domain	Examples of Courses and Materials
Introduction	100 Python Exercises for Data Analysis 100 SQL Exercises for Data Analysis Python Automation for Excel Users Introduction to Data Visualization Introduction to Jupyter Notebook
Mathematical Fundamentals	100 Mathematical Modeling Exercises 100 Matrix Exercises 100 Probability and Statistics Theory Exercises 100 Probability and Statistics with Python Exercises 100 Numerical Computing Exercises 100 Linear Algebra Exercises 100 Bayesian Statistics Exercises for Data Analysis
Practical Application	100 Applied Probability and Statistics Exercises for Marketing 100 Practical Machine Learning Exercises 100 Anomaly Detection Exercises 100 Simulation Exercises 100 Mathematical Optimization Exercises 100 Marketing Science Exercises
System Development	100 System Development Exercises Dashboard Development API Development Serverless configuration Decision Support App Development
Manufacturing DI	100 Manufacturing DI Exercises Production plan Inventory optimization Process Simulation Introduction to Digital Twins

Representative Courses and Series

Series	Contents	Condition
PythonIntroduction to Data Analysis	pandas, NumPy, visualization, practical data analysis	Public
Probability Statistics100 Exercises	Learn probability distributions, estimation, testing, and regression in an exercise format	Public
100 Simulation Exercises	Handling queues, inventory, processes, and staffing in Python	Public
100 Mathematical Optimization Exercises	Linear programming, integer programming, production planning, allocation problems	Public
DI 100 Exercise Manufacturing Units	Addressing manufacturing decision-making challenges through data and mathematics	preparing
100 Marketing Science Exercises	Demand forecasting, customer analysis, recommendations, and effectiveness verification	Public

Learning Roadmap

For beginners

Basic Python → pandas & NumPy → Data visualization → Probability statistics → Practical data analysis.

For Engineers

Python data analysis→ statistics and machine learning → simulation → mathematical optimization→ decision support app development.

For the Manufacturing Industry

Manufacturing data analysis → quality control and process capability → inventory simulation → production planning optimization → manufacturing DI.

For Marketing

Statistics and regression analysis→ demand forecasting → customer analysis→ recommendation systems→ marketing science.

Target Audience

• For those who want to learn Python and data analysis from the basics
• For those who want to use statistics and machine learning in practical work
• For those interested in utilizing data in manufacturing
• Engineers who want to learn simulation and mathematical optimization
• For those who want to leverage AI and data analysis to improve their operations
• Staff who want to review the course content before corporate training
• Company representatives who want to learn about Surikobo’s philosophy and technical fields

Free content to read

• DI 100 Exercise Manufacturing Units
• 100 Simulation Exercises
• 100 Mathematical Optimization Exercises
• Probability Statistics100 Exercises
• Demo App Explanation

Currently, we mainly publish blog articles, exercise materials, and demo app explanations. New teaching materials will be released sequentially in the future.

Differences from Kobo Training

item	Kobo Academy	Kobo Training
Eligibility	Individuals, General Participants, and Learners	Corporate and In-house Training
form	Blogs, Public Materials	Online training, in-person training, hands-on sessions
Contents	Universal Course System	Customization to Meet Corporate Challenges
Purpose	Self-study and skill development	Internal Human Resource Development and Business Utilization
Positioning	Entrance to Surikobo’s educational content	Practical Training for Corporations

Suitable Consultations

For those who want to learn Python, data analysis, mathematical optimization, and simulation through publicly available materials and the 100-Exercise Series, we introduce Kobo Academy.

If you want to learn systematically as part of corporate training, please feel free to consult Kobo Training or Kobo Consulting for specific applications on business challenges.