Overview
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 Python Data Products for Predictive Analytics Specialization offered by Coursera in partnership with UC San Diego 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.
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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Basic Data Processing and Visualization
- Design Thinking and Predictive Analytics for Data Products
- Meaningful Predictive Modeling
- Deploying Machine Learning Models
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Software Engineering Machine Learning Data Analytics View 554 other Short Courses in Software Engineering in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Some related experience required.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
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.