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

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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

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Taught in English

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Specialization - 4 course series

Basic Data Processing and Visualization

Course 110 hours4.3 (194 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: Data Processing
Category: Python Programming
Category: Matplotlib
Category: NumPy
Category: JSON
Category: Pandas (Python Package)
Category: Data Import/Export
Category: Jupyter
Category: Data Cleansing
Category: Exploratory Data Analysis
Category: Web Scraping
Category: Data Manipulation
Category: Data Visualization Software
Category: Interactive Data Visualization

What you'll learn

Skills you'll gain

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

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

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

Instructors

Julian McAuley
University of California San Diego
5 Courses31,380 learners

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