Enroll Course: https://www.coursera.org/learn/hipython

Course Overview

‘Data Processing Using Python’ is a fantastic course targeted at students from non-computer science backgrounds. It starts with the basics of Python syntax and gradually builds up to data acquisition, parsing, statistical analysis, and visualization using Python’s powerful ecosystem, particularly through libraries like SciPy.

With a focus on financial data, the course employs engaging and relatable case studies to illustrate the simplicity, elegance, and robustness of Python. It also explores how Python can be flexibly applied not only in commercial fields but also across humanities and social sciences, as well as in mathematics and the natural sciences.

Course Structure

The course is divided into several modules:

  1. Module 1: Basics of Python – This module introduces the fundamental structure of Python, including data types, basic operations, conditions, loops, and functions.
  2. Module 2: Data Acquisition and Presentation – Here, learners will master methods for acquiring and presenting data, both from local sources and the web.
  3. Module 3: Powerful Data Structures and Python Extension Libraries – This part covers advanced data structures like dictionaries and sets, along with the popular SciPy libraries.
  4. Module 4: Python Data Statistics and Mining – Focused on the unique advantages of Python in data processing and analysis, this module teaches how to extract valuable insights from datasets.
  5. Module 5: Object Orientation and Graphical User Interface – Students will learn about object-oriented programming and how to create simple GUIs to process and present data.

Updated Content

The course has been recently updated (as of November 6, 2019) to include richer examples and practical operations for Python basics, as well as expanded coverage of advanced concepts like vector operations and broadcasting using the NumPy library.

My Recommendation

I highly recommend this course to anyone looking to develop robust data processing skills using Python. The instructive approach to simplifying complex concepts makes it perfect for beginners. You’ll not only gain proficiency in Python but also learn how to leverage it for effective data analysis across various fields. With excellent case studies and a solid structure, this course is truly a gem for aspiring data enthusiasts!

Enroll Course: https://www.coursera.org/learn/hipython