DAP300B — Python for Data Analysis, Part 2

Applied Bachelor’s Degree in Software Development
  • Course ID: DAP300B
  • Course Credits: 4

About DAP300B — Python for Data Analysis, Part 2

Building on the foundational skills acquired in Part 1, this course looks further into the advanced techniques and tools of data science using Python. Students will explore more sophisticated data manipulation, analysis, and visualization methods, as well as machine learning algorithms. The focus will be on applying these skills to real-world datasets, enabling students to tackle complex data challenges with confidence and precision.


Topics Covered in Course

DAP300B Topics
  • Describe the core concepts of data analysis and visualization
  • Use Python and relevant libraries to manipulate and visualize data
  • Acquire data from various sources and formats

Prerequisites

Completion of DAP300A: Python for Data Analysis Part 1

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