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 3 つめのコースです。このコースでは、1～2 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 などのツールを使って目的に合ったデータを抽出し活用する方法、データの整理と保護の方法など、より実践的なデータアナリティクススキルを身につけるための新しいトピックについても学びます。
3. 探索用データを準備する
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3. 探索用データを準備する
This course is part of Google データアナリティクス Professional Certificate
Instructor: Google Career Certificates
7,539 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
65 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
95%
Most learners liked this course
What you'll learn
データ収集を行う際の判断材料について、説明できる
偏ったデータとそうでないデータの違いについて、説明できる
データベースの機能と構成要素に言及しながら、データベースについて説明できる
データ整理のベストプラクティスについて、説明できる
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
31 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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Reviewed on Jan 23, 2023
取得データの質の評価（特にバイアスを取り除くポイント）、データ整理する規則性＆ガイドライン、データをSQLで処理する際の注意ポイントなど、頭でなんとなく分かっていたものの、このカリキュラムでうまく言語化されていて学習に役立った。今まで見落としていた内容を身に着けることができたのも大きなプラスである。
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