This specialization dives deep into advanced Python capabilities, including object-oriented programming, high-performance data structures with NumPy and Pandas, and visually impactful data visualization techniques using Matplotlib, Seaborn, and Plotly. Learners will become proficient in managing and analyzing large datasets, crafting interactive visualizations, and presenting insights effectively. These skills align with industry needs in data science, analytics, and reporting roles, preparing learners for professional success.
BiteSize Python for Intermediate Learners Specialization
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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.
Instructor: Di Wu
Included with 
Get in-depth knowledge of a subject
4.6
(9 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.6
(9 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Use advanced data analysis techniques with NumPy and Pandas.
Create visually impactful and interactive visualizations using Matplotlib, Seaborn, and Plotly.
Overview
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
14 practice exercises
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 Colorado Boulder
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: Software Documentation
Category: Object Oriented Design
Category: Software Design
Category: Python Programming
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: Data Cleansing
Category: Statistical Methods
Category: Exploratory Data Analysis
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: Histogram
Category: Box Plots
Category: Statistical Visualization
Category: Plotly
Category: Scatter Plots
Category: Interactive Data Visualization
Category: Seaborn
Category: Data Visualization
Category: Data Visualization Software
Category: Heat Maps
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
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Frequently asked questions
3 months if you spend 3-4 hours per week
Learners should have basic understanding of Python. If you have no background, please take BiteSize Python for Absolute Beginners first.
Yes. You should take OOP first, then NumPy and Pandas, lastly, Data Visualization.
More questions
Financial aid available,