Google データアナリティクス プロフェッショナル認定プログラムの 4 つめのコースです。このコースでは、1～3 つめのコースで学んだトピックの理解を深めながら、表計算ソフトや SQL を使ったデータのチェックやクリーニングの方法、またデータクリーニング結果の検証やレポートの作成方法についても学びます。また、現職の Google データ アナリストが、最適なツールやリソースを使って、一般的なアナリスト業務を遂行する実践的な方法を指導します。
4.「ダーティー」なデータを「クリーン」にする
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4.「ダーティー」なデータを「クリーン」にする
This course is part of Google データアナリティクス Professional Certificate
Instructor: Google Career Certificates
6,082 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
51 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
97%
Most learners liked this course
What you'll learn
データ完全性と、データ完全性のリスクについて定義する
データベース内の文字列変数のクリーニングに、基本的な SQL 関数を当てはめる
データベースで使用する、基本的な SQL クエリを作成する
データクリーニングの結果を検証するためのプロセスについて説明する
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
26 assignments
Taught in Japanese
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
This course is part of the Google データアナリティクス Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google
There are 6 modules in this course
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KA
Reviewed on Sep 1, 2024
データをクリーンにすることは、おそらく全ての業務に通じることだと思います。
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