4-month Data Science Education and
Career Support to your job hunting in Japan
After completing each course,
course fees can be reimbursed in full!

With an understanding of the basics of Python and Programming, you will be able to perform Programming while researching on your own.

Handling of text variables/Transformation of variables and types/Conditional branching (if~elif~else loops)/Iterative processing (While loops, For loops and range functions)/Exception handling (try~except loops)/User-defined functions/Class usage/Program file division and import/File input and output

By using PostgreSQL, you will be able to understand database concepts and master the following SQL: Creating users, databases, and tables (CREATE Loops)/Obtaining arbitrary columns (SELECT loops, FROM loops)/Obtaining necessary rows (WHERE loops)/Aggregating tables (GROUP BY loops)/Sorting rows (ORDER BY loops)/Creating columns by calculation (Calculation, AS loops, CASE loops)/Joining and using tables (JOIN loops)/Table summation (UNION loops)/Subqueries.

With an understanding of the features of each tool, you will be able to perform Data Processing (Pre-processing) of files in various formats such as TSV, CSV, JSON, HTML, etc. by using Python/Pandas, PostgreSQL, and R. Data Loading (TSV, CSV, JSON )/HTML scraping/Extraction/Aggregation/Vertical and horizontal conversion/Table joining/Table summing/Creation of features (Dummy variable creation, binning, missing value processing, date processing, etc.)

With an understanding of OS concept and the features of Linux, you will be able to perform basic operations. Structure of computer/Differences between PCs, servers, and the cloud (Amazon Web Service, Google Cloud Platform, etc.)/Usefulness of Linux/Linux directories/File operations/Search using regular expressions/Various operations using text editor vi/Changing standard input and output destinations by using Redirect/Text processing by using commands/Shell script

With an understanding of Data Science execution processes, you will be able to perform a variety of analytical methods by using R and Python in data science. Hypothesis testing approach and knowledge discovery approach/Data mining and marketing theory/Decile analysis/RFM analysis/ABC analysis/Association analysis/Cluster analysis/Decision tree analysis/Logistic regression analysis/Conjoint analysis/Support vector machine, etc.

With the understanding of Data Science execution processes, you will be able to perform a variety of analytical methods by using R and Python in data science. Hypothesis testing approach and knowledge discovery approach/Data mining and marketing theory/Decile analysis/RFM analysis/ABC analysis/Association analysis/Cluster analysis/Decision tree analysis/Logistic regression analysis/Conjoint analysis/Support vector machine, etc.

You will be able to understand the elements that make up a neural network, and implement a neural network by using Python's libraries (Keras, PyTorch, etc.) in a cloud environment (Google Colaboratory).

Regression/Classification/Overlearning/Convolutional neural networks/Transfer learning etc., by using multilayer perceptron

■Under the advice of an Instructor, you will be able to proceed with data analysis, from data processing to report writing,
■You will be able to adopt an appropriate method through comparing and examining various analytical methods.
■In order to carry out data analysis, you will acquire the basic business knowledge of each area.
1.Marketing
We will be able to understand the project owner's business model and assemble analytical scenarios in marketing related work.
【Assignment example】Propose measures to increase the sales of EC site 2.Finance
You will be able to understand and analyze the basic business model of the financial industry and PL/BS.
【Assignment example】Automation of credit operations
3.Healthcare
【Assignment example】Propose measures to reduce healthcare costs for Health Insurance Unions

■You will be able to set the analysis topics by yourself and select appropriate data to derive solutions to those problems.
■You will be able to proceed with data analysis from data processing to report writing on your own.
■You will be able to summarize the analysis results in a report and present them in an easy-to-understand way.
【Assignment example】

We provide training on pseudo-business data and analytical methods that are expected to be used in practical scenarios.
＜Those who aim at job-hopping or job-hunting after completion of the course>
You will conduct data analysis by using local government's open data and RESAS (Regional Economic Analysis System) to propose solutions to regional issues.

You will actually spend 1 month as an Intern working on an analytical project in a Japanese company in order to gain hands-on experience.
Salary: Subsidized transportation, accommodation and other expenses. (※The amount is expected to be equivalent to 160 hours of remuneration.)
Location: Tokyo, Osaka, Fukuoka or Sapporo
Support: Introduction of accommodation and local support.

As an agent, we will support you in everything you need to find a job successfully.
1. You will have a 1:1 face-to-face interview preparation with our HR professional.
2. We will support you to make an entry sheet.
3. We will introduce 3 to 5 companies that are suitable for you and provide interview support.
※Support period: 3 months.

• If you are confirmed to join a Japanese company through our service, full amount of the Employment Support Course fee will be returned to you as a scholarship at the end of the month following the month of employment.

• Benefit 1
  After completion of the Data Science Training Course, if you are considered to be referred to the company, full amount of the course fee will be returned to you as a scholarship at the end of the month following the month of completion of the course.
  Benefit 2
  If you are confirmed to join a Japanese company through our service, full amount of the Employment Support Course fee will be returned to you as a scholarship at the end of the month following the month of employment.