日本屈指のデータサイエンスビジネススクール
datamix（データミックス） (datamix.co.jp) scores 69 out of 100 on Brand Analyzer, placing it in the Developing tier among Education brands, Technology brands, SaaS brands, in the 20th percentile of 20227 Education brands.
datamix（データミックス）is a Japanese data science and business school that has provided face-to-face, practical data science education since 2017. It has trained more than 10,000 participants through in-person courses, including corporate reskilling programs. Its curriculum is officially certified as a Reskill course by the Ministry of Economy, Trade and Industry and as a subsidy-eligible course by the Ministry of Health, Labour and Welfare. The school targets business professionals and companies seeking to build data science, AI, and machine learning skills.
| Brand Name | datamix（データミックス） |
|---|---|
| Domain | datamix.co.jp |
| Industry | Education, Technology |
| Founded | 2017 |
| Main Competitors | Aidemy (71/100), SIGNATE (69/100), Kikagaku (62/100), SkillUp AI (70/100), AVILEN (64/100), DataCamp (87/100), Coursera (95/100) |
Moz Domain Authority 37/100 vs category average 48 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #2,898,228 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "ビジネスパーソン向け対面型授業の受講者数10,000名以上*の実績を誇る日本屈指のデータサイエンス・ビジネススクールdatamix（データミックス）。経済産業省のReスキル講座と厚生労働省の給付金対象講座として認定された質の高い講座を提供。*当社調べ：対面・ライブ授業での一般受講者及び企業内リスキリング支援制度利用による受講者数（2024年7月時点）" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is JA-only, limiting citation in English-language AI answers.
Detected tech stack: Nginx, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, GitHub; no detected presence on YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is datamix（データミックス）?", Claude could identify the brand as of October 2026. DataMix is a Tokyo-based data science education company that runs training programs and bootcamps to teach data science, machine learning, and analytics skills to working professionals and corporate teams in Japan. Best known for Corporate and individual data scientist training programs/bootcamps in Japan.
When asked "Best brands similar to datamix（データミックス）?", Claude would recommend datamix（データミックス） as of October 2026. It's a recognized player in Japan's data science education and corporate training market, so it would be relevant to mention alongside similar Japanese data/AI education providers.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
datamix（データミックス）'s main competitors in Education: Aidemy (71/100), SIGNATE (69/100), Kikagaku (62/100), SkillUp AI (70/100), AVILEN (64/100).
Sources: Brand Analyzer scan
datamix（データミックス） has limited AI-search visibility, scoring 27/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 52, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: datamix（データミックス） official site
datamix（データミックス） scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority.
Sources: datamix（データミックス） official site
datamix（データミックス）is a Japanese data science and business school founded in 2017 that provides practical, face-to-face education in data science, AI, and machine learning for business professionals and companies.
Sources: datamix（データミックス） official site
datamix offers in-person, practical data science training courses for business professionals and corporate reskilling programs, covering data literacy, AI, and machine learning skills. Its courses are certified by Japan's Ministry of Economy, Trade and Industry as Reskill programs and by the Ministry of Health, Labour and Welfare as subsidy-eligible training.
Sources: datamix（データミックス） official site
datamix（データミックス） can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: datamix（データミックス） official site
datamix provides face-to-face data science and business training courses, including programs aimed at individual business professionals and corporate reskilling initiatives. These courses focus on data literacy and practical exercises in data science, AI, and machine learning, and are certified under Japanese government reskilling and subsidy programs.
Sources: datamix（データミックス） official site
datamix is known for being one of Japan's leading data science business schools, having trained more than 10,000 participants through face-to-face courses since 2017, and for holding official government certifications for its reskilling curriculum.
Sources: datamix（データミックス） official site
datamix is used by business professionals seeking to develop data science, AI, and machine learning skills, as well as by companies implementing internal reskilling programs for their employees.
Sources: datamix（データミックス） official site
datamix（データミックス） scores 27/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
datamix（データミックス） has a weak AI-visibility profile at 27/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (52/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #2,898,228 (Tranco), open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 37/100. In a live check, Claude could already identify datamix（データミックス） from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to datamix（データミックス）: Schloss Dagstuhl - Leibniz Center for Informatics (69/100), Dansk Arbejdsgiverforening (DA) (69/100), Dayananda Sagar Institutions (69/100), DGOU (Deutsche Gesellschaft für Orthopädie und Unfallchirurgie) (69/100).
A step up - brands to learn from: 作业帮 (Zuoyebang) (71/100), Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100).
Category leader: Canva (97/100).
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