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.
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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.
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.
What's inside
Four courses
Basic Data Processing and Visualization
Basic Data Processing and Visualization
Design Thinking and Predictive Analytics for Data Products
Design Thinking and Predictive Analytics for Data Products
Meaningful Predictive Modeling
Meaningful Predictive Modeling
Deploying Machine Learning Models
Deploying Machine Learning Models
Learning objectives
- Discover how to transform data and make it suitable for data-driven predictive tasks
- Understand how to compute basic statistics using real-world datasets of consumer activities, like product reviews and more
- Use python to create interactive data visualizations to make meaningful predictions and build simple demo systems
- Perform simple regressions and classifications on datasets using machine learning libraries
- Discover how to transform data and make it suitable for data-driven predictive tasks
- Understand how to compute basic statistics using real-world datasets of consumer activities, like product reviews and more
- Use python to create interactive data visualizations to make meaningful predictions and build simple demo systems
- Perform simple regressions and classifications on datasets using machine learning libraries
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