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Python for Data Science Bootcamp

Want to work with data more effectively? These Python courses cover everything from loading and storing data to transforming, visualizing, and even making predictions with machine learning. You’ll learn how to clean messy datasets, explore data for insights, and automate workflows using real-world techniques. Whether you’re just starting or looking to improve your python skills, this will help you handle data confidently at every stage.

5 Modules

Learn to build Python applications.

5 Days

Daily 9am – 12pm PT.

UNM Accredited

Earn 2 CEUs with a UNM certificate.

Resource Access

12-month access to the platform.

What you'll learn

  • Work with structured and unstructured data, read and write different file formats, and use indexing and slicing for better data handling.
  • Clean and organize messy data by handling missing values, removing duplicates, and using string manipulation techniques.
  • Summarize data, detect patterns, and create clear visualizations using Matplotlib and Seaborn.
  • Extract data from websites, automate workflows with ETL processes, and interact with RESTful APIs.
  • Understand how machine learning works, choose models, tune hyperparameters, and make predictions using scikit-learn.
  • Hands-on Project – Work on a real-world data task to apply and reinforce key concepts.
Learn to access, store, and manage data from various sources like databases and APIs.
  • 8 Lessons
$100.00
Master data wrangling techniques for cleaning, structuring, and preparing datasets for analysis.
  • 8 Lessons
$100.00
Explore data and create visualizations using Python libraries to uncover insights and patterns.
  • 8 Lessons
$100.00
Build efficient data pipelines, covering APIs, RESTful protocols, and web scraping for data integration.
  • 9 Lessons
$100.00
Master machine learning with Python, including model selection, training, and real-world applications.
  • 10 Lessons
$100.00