この専門講座について

55,074 最近の表示

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.

受講生の就業成果
50%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンラインコース
自分のスケジュールですぐに学習を始めてください。
フレキシブルなスケジュール
柔軟性のある期限の設定および維持
初級レベル
約3か月で修了
推奨4時間/週
英語
字幕:英語, 韓国語
受講生の就業成果
50%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンラインコース
自分のスケジュールですぐに学習を始めてください。
フレキシブルなスケジュール
柔軟性のある期限の設定および維持
初級レベル
約3か月で修了
推奨4時間/週
英語
字幕:英語, 韓国語

この専門講座には3コースあります。

コース1

コース 1

Understanding and Visualizing Data with Python

4.6
1,125件の評価
214件のレビュー
コース2

コース 2

Inferential Statistical Analysis with Python

4.5
457件の評価
82件のレビュー
コース3

コース 3

Fitting Statistical Models to Data with Python

4.4
339件の評価
60件のレビュー

提供:

ミシガン大学(University of Michigan) ロゴ

ミシガン大学(University of Michigan)

よくある質問

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This specialization is made up of three courses, each with four weeks/modules. Each week in a course requires a commitment of roughly 3-6 hours, which will vary by learner.

  • High school-level algebra is the only background knowledge mandatory for the first course in the series. A basic Python and/or coding background is recommended.

  • It is definitely recommended to take this specialization in order.

  • You will not earn University credit for completing this specialization.

  • Upon completion of all courses in this specialization, you will have a solid grasp of statistical analysis and will be able to conduct analyses using the Python programming language. You'll be able to create data visualizations in Python, as well as interpret and explain them. You will be able to utilize data for estimation and assessing theories, interpretation of inferential results, and you will be able to apply more advanced statistical modeling procedures.

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。