University of Colorado Boulder
BiteSize Python for Intermediate Learners Specialization
University of Colorado Boulder

BiteSize Python for Intermediate Learners Specialization

Launch Your Career in Data Science. Learners will develop expertise in advanced data structures, efficient data analysis, and professional-grade data visualization using Python's most powerful tools.

Di Wu

Instructor: Di Wu

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Intermediate level

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1 month
at 10 hours a week
Flexible schedule
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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use advanced data analysis techniques with NumPy and Pandas.

  • Create visually impactful and interactive visualizations using Matplotlib, Seaborn, and Plotly.

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Taught in English
Recently updated!

February 2025

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Specialization - 3 course series

What you'll learn

  • Explore Object Oriented Programming in Python

  • Understand and apply inheritance, polymorphism, encapsulation, and abstraction

  • Prepare professional documentations for classes and methods

Skills you'll gain

Category: Object Oriented Programming (OOP)
Category: Object Oriented Design
Category: Software Documentation
Category: Python Programming
Category: Software Design
Category: Maintainability
Category: Programming Principles

What you'll learn

  • Understanding and utilizing the ndarray from the NumPy library.

  • Exploring the Series and DataFrame structures in the Pandas library.

  • Practical applications of advanced data structures in data analysis and manipulation.

Skills you'll gain

Category: Data Manipulation
Category: Pandas (Python Package)
Category: NumPy
Category: Data Structures
Category: Numerical Analysis
Category: Statistical Methods
Category: Data Cleansing
Category: Data Import/Export
Category: Data Analysis

What you'll learn

  • Identify the strengths and differences between Matplotlib, Seaborn, and Plotly for various visualization needs.

  • Create a wide range of plots, including line, bar, scatter, and pie charts, using each of the three packages.

  • Apply data visualization techniques to real-world data, gaining deeper insights into how to use these tools for storytelling and communication.

Skills you'll gain

Category: Matplotlib
Category: Scatter Plots
Category: Histogram
Category: Interactive Data Visualization
Category: Plotly
Category: Statistical Visualization
Category: Seaborn
Category: Box Plots
Category: Data Storytelling
Category: Data Analysis
Category: Heat Maps
Category: Data Visualization Software
Category: Data Presentation

Instructor

Di Wu
University of Colorado Boulder
21 Courses47,119 learners

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