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About this Course
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
What You'll Learn
- Use advanced data analysis techniques with NumPy and Pandas
- Create interactive visualizations using Matplotlib, Seaborn, and Plotly
- Apply object-oriented programming concepts like inheritance and polymorphism
- Prepare professional documentation for classes and methods
Prerequisites
- Basic familiarity with programming concepts and terminology
- Readiness to practice through applied exercises
Instructors
D
Di Wu
Instructor
Topics
Data Analysis
Data Science
Data Management
Information Technology
Explore Object Oriented Programming in Python
Understand and apply inheritance, polymorphism, encapsulation, and abstraction
Understanding and utilizing the ndarray from the NumPy library
Exploring the Series and DataFrame structures in the Pandas library
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
Course Info
PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree
Skills
تحليل البيانات
علوم البيانات
إدارة البيانات
تكنولوجيا المعلومات
البرمجة الكائنية في بايثون
الوراثة والتعددية الشكلية
مصفوفات NumPy
هياكل بيانات Pandas
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
إعلان
إعلان