Python Data Products for Predictive Analytics Specialization
Build Predictive Systems with Accuracy. Collect, model, and deploy data-driven systems using Python and machine learning.
WHAT YOU WILL LEARN
- 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
SKILLS GAINED
- Machine Learning
- Python Programming
- Predictive Analytics
- Data Processing
- Data Visualization (DataViz)
- Python Libraries
- Data Pre-Processing
- Web Scraping
- Big Data Products
- Recommender Systems
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.
Applied Learning Project
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.
Instructors
Julian McAuley, Assistant Professor, Computer Science
Ilkay Altintas, Chief Data Science Officer, San Diego Supercomputer Center
Offered by
University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.