Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
主要研究問題：
データサイエンスの現状はどうなっていますか？
その他の質問：
現在のデータサイエンティストとデータアナリストの主要な学歴背景は何ですか？
主要なプログラミング言語は何ですか？それらは本当に就職の可能性を高めますか？
誰がデータサイエンスまたはデータ分析の職種に転職しますか？なぜですか？
女性のデータサイエンティスト/アナリストが就職する可能性はどれくらいですか？
カナダのデータサイエンス市場の主要な特徴は何ですか？それはどのように異なっていますか？
あなたが回答を見たい質問は何ですか？
主要な発見
驚くべきことに、カナダのデータサイエンスと分析の市場では、正式な教育は必要とされず、おそらくより多くの専門資格が求められます。これは、修士号をより多く求める傾向のある正式な教育を必要とする国際市場とは異なります。
女性のデータサイエンティストの採用傾向はわずかに増加しています（ただし、有意ではありません）。
驚くべきことに、カナダ市場は国際市場がPythonを好むのに対して、RとSASにより魅力を感じています。
国際市場で最も適した年齢層は（45 - 65歳）ですが、カナダの年齢層は（25 - 44歳）です。
転職と就職の間には正の関連性があります。
国際的には社会科学の専攻者が最も採用されにくく、カナダでは自然科学の専攻者が最も採用されにくいです。
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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