
Julien McAuley
Assistant Professor
Bio

Ilkay Altintas
Chief Data Science Officer
lkay Altintas is the Chief Data Science Officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is the Founder and Director of the Workflows for Data Science Center of Excellence. Since joining SDSC in 2001, she has been in the areas of computational data science and e-Sciences at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. She is a co-initiator and an active contributor to the popular open-source Kepler Scientific Workflow System. Ilkay Altintas received her Ph.D. from the University of Amsterdam in the Netherlands.
New Specialization:
About this Specialization
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 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.
Courses included in this Specialization:
Basic Data Processing and Visualization
Design Thinking and Predictive Analytics for Data Products
Meaningful Predictive Modeling
Deploying Machine Learning Models
Key Information About This Course:
Level: Intermediate
100% online: Start instantly and learn at schedule
Flexible schedule and deadlines: Set and maintain flexible deadlines
Subtitles: English only
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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.\n\nThis 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 various data sources. This is your chance to master one of the technology industry’s most in-demand skills.\n\nPython 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.
ADDITIONAL DETAILS
Landing Page Python Data Products for Predictive Analytics
Manufacturer University of Michigan
Category Educational Software
Availability In Stock
SKU spzn:jk5Ze9bqEeeHrhKAyDUjYA
GTIN
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