關於此 專項課程

76,858 次近期查看

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.

If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.

學生職業成果
67%
完成此 專項課程 後開始了新的職業。
57%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
高級
完成時間大約為4 個月
建議 5 小時/週
英語(English)
字幕:英語(English), 越南語, 法語(French), 阿拉伯語(Arabic), 中文(簡體)
學生職業成果
67%
完成此 專項課程 後開始了新的職業。
57%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
高級
完成時間大約為4 個月
建議 5 小時/週
英語(English)
字幕:英語(English), 越南語, 法語(French), 阿拉伯語(Arabic), 中文(簡體)

此專項課程包含 4 門課程

課程1

課程 1

Fundamentals of Scalable Data Science

4.3
1,440 個評分
313 條評論
課程2

課程 2

Advanced Machine Learning and Signal Processing

4.5
931 個評分
159 條評論
課程3

課程 3

Applied AI with DeepLearning

4.4
854 個評分
148 條評論
課程4

課程 4

Advanced Data Science Capstone

4.6
286 個評分
53 條評論

提供方

IBM 徽標

IBM

常見問題

  • 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.

  • 16 weeks

  • Fundamentals in python programming is recommended. Basic understanding of machine learning is a plus.

  • Yes, please take the fundamentals course first

  • No. This is a professional specialization from IBM

  • You will be able to perform as a Lead Data Scientist or Architect

還有其他問題嗎?請訪問 學生幫助中心