关于此 专项课程

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Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills. Python Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets.
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中级
完成时间大约为5 个月
建议 2 小时/周
英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为5 个月
建议 2 小时/周
英语(English)

此专项课程包含 4 门课程

课程1

课程 1

Basic Data Processing and Visualization

4.2
121 个评分
35 条评论
课程2

课程 2

Design Thinking and Predictive Analytics for Data Products

4.4
41 个评分
7 条评论
课程3

课程 3

Meaningful Predictive Modeling

4.2
31 个评分
5 条评论
课程4

课程 4

Deploying Machine Learning Models

3.6
34 个评分
10 条评论

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加州大学圣地亚哥分校

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