This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability.
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Advanced Data Science with IBM専門講座IBM Skills Networkこのコースについて
9,391 最近の表示
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の4コース
上級レベル
約9時間で修了
英語
字幕：アラビア語, フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, ロシア語, 英語, スペイン語
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の4コース
上級レベル
約9時間で修了
英語
字幕：アラビア語, フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, ロシア語, 英語, スペイン語
提供：
IBM Skills Network
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
シラバス - 本コースの学習内容
2時間で修了
Week 1 - Identify DataSet and UseCase
In this module, the basic process model used for this capstone project is introduced. Furthermore, the learner is required to identify a practical use case and data set
2時間で修了
1件のビデオ （合計2分）, 7 学習用教材, 2 個のテスト
2時間で修了
Week 2 - ETL and Feature Creation
This module emphasizes on the importance of ETL, data cleansing and feature creation as a preliminary step in ever data science project
2時間で修了
3 学習用教材
2時間で修了
Week 3 - Model Definition and Training
This module emphasizes on model selection based on use case and data set. It is important to understand how those two factors impact choice of a useful model algorithm.
2時間で修了
2 学習用教材
3時間で修了
Model Evaluation, Tuning, Deployment and Documentation
One a model is trained it is important to assess its performance using an appropriate metric. In addition, once the model is finished, it has to be made consumable by business stakeholders in an appropriate way
3時間で修了
5 学習用教材
レビュー
- 5 stars77.27%
- 4 stars14.70%
- 3 stars4.01%
- 2 stars1.60%
- 1 star2.40%
ADVANCED DATA SCIENCE CAPSTONE からの人気レビュー
ENにより2020年6月2日
This was quite enriching as I was able to perform data science analysis with the help of Pyspark and Tensorflow
JLにより2019年10月6日
It is a great course to prove how much you know about data science and machine learning
VTにより2019年3月17日
Like that course. It combine all you skills in a one project. It is very helpful for the understanding why and how ML can help for the business. Personal thanks for Romeo Kienzler!
JPにより2020年1月2日
Good course. But the peer-rating system could be improved: it takes a long period of time (several days) to get a review.
Advanced Data Science with IBM専門講座について
As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.
よくある質問
いつ講座や課題にアクセスできるようになりますか？
この専門講座をサブスクライブすると何を行うことができるようになりますか？
学資援助はありますか？
さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。
