University of California San Diego
Python Data Products for Predictive Analytics Specialization
University of California San Diego

Python Data Products for Predictive Analytics Specialization

Build Predictive Systems with Accuracy. Collect, model, and deploy data-driven systems using Python and machine learning.

Julian McAuley
Ilkay Altintas

Instructors: Julian McAuley

14,677 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.2

(171 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.2

(171 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of California San Diego
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 4 course series

Basic Data Processing and Visualization

Course 110 hours4.3 (195 ratings)

What you'll learn

  • Develop data strategy and process for how data will be generated, collected, and consumed

  • Load and process formatted datasets such as CSV and JSON.

  • Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.

  • Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests

Skills you'll gain

Category: Web Scraping
Category: Data Manipulation
Category: Data Processing
Category: Data Pre-Processing
Category: NumPy
Category: Data Import/Export
Category: Data Cleansing
Category: Jupyter
Category: Exploratory Data Analysis
Category: Pandas (Python Package)
Category: Matplotlib
Category: JSON
Category: Interactive Data Visualization
Category: Data Visualization
Category: Python Programming
Category: Python Libraries
Category: Data Visualization Software

What you'll learn

Skills you'll gain

Category: Scikit Learn (Machine Learning Library)
Category: Data Manipulation
Category: Supervised Learning
Category: Data Processing
Category: Predictive Analytics
Category: Regression Analysis
Category: Classification And Regression Tree (CART)
Category: Machine Learning
Category: Data Cleansing
Category: Tensorflow
Category: Predictive Modeling
Category: Feature Engineering
Category: Machine Learning Algorithms
Category: Design Thinking
Category: Statistical Methods

Meaningful Predictive Modeling

Course 38 hours4.3 (48 ratings)

What you'll learn

  • Understand the definitions of simple error measures (e.g. MSE, accuracy, precision/recall).

  • Evaluate the performance of regressors / classifiers using the above measures.

  • Understand the difference between training/testing performance, and generalizability.

  • Understand techniques to avoid overfitting and achieve good generalization performance.

Skills you'll gain

Category: Data Analysis
Category: Natural Language Processing
Category: Data Validation
Category: Scikit Learn (Machine Learning Library)
Category: Supervised Learning
Category: Predictive Analytics
Category: Regression Analysis
Category: Classification And Regression Tree (CART)
Category: Machine Learning
Category: Test Data
Category: Predictive Modeling
Category: Feature Engineering
Category: Statistical Modeling
Category: Text Mining
Category: Applied Machine Learning
Category: Machine Learning Algorithms
Category: Verification And Validation
Category: Statistical Methods
Category: Python Programming

Deploying Machine Learning Models

Course 410 hours3.5 (51 ratings)

What you'll learn

  • Project structure of interactive Python data applications

  • Python web server frameworks: (e.g.) Flask, Django, Dash

  • Best practices around deploying ML models and monitoring performance

  • Deployment scripts, serializing models, APIs

Skills you'll gain

Category: Data Cleansing
Category: Django (Web Framework)
Category: Recommender Systems
Category: Big Data Products
Category: Flask (Web Framework)
Category: Data Manipulation
Category: Predictive Modeling
Category: Data Processing
Category: Machine Learning
Category: Web Applications
Category: Application Deployment
Category: Python Programming

Instructors

Julian McAuley
University of California San Diego
5 Courses31,584 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions