Advanced Python for Aspiring Scientists

  • Type

    Ongoing course

  • Duration

    14 classes (60 mins / class)

  • Class Size

    2-4 / class

Prerequisite: Gentle Introduction to Intermediate Python
Python has blossomed into the de-facto programming language for data science and artificial intelligence, coveted by every industry.
Here, we will cover the following topics in order:
  • IPython and JupyterLab
  • Introduction to NumPy
  • Data Manipulation with Pandas
  • Visualization with Matplotlib
  • Machine Learning
Please have JupyterLab ready on your computer (https://jupyter.org/install) before the lesson. Students are limited to a maximum of 4 to ensure ample individual attention!
Overview
overview
Prerequisite: Gentle Introduction to Intermediate Python
Python has blossomed into the de-facto programming language for data science and artificial intelligence, coveted by every industry.
Here, we will cover the following topics in order:
  • IPython and JupyterLab
  • Introduction to NumPy
  • Data Manipulation with Pandas
  • Visualization with Matplotlib
  • Machine Learning
Please have JupyterLab ready on your computer (https://jupyter.org/install) before the lesson. Students are limited to a maximum of 4 to ensure ample individual attention!
Course Schedule
Course Schedule
Taught By
Taught By
Teacher TY

Teacher Tze Yee is an astrophysicist and holds a Masters degree in Physics. Upon graduation, he worked as a Physics and Mathematics teacher at a prestigious British International School, while offering Japanese and Python co-curricular activities.

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Pro-rated pricing is available for ongoing courses. The price is calculated based on the number of available upcoming classes.

For example, an ongoing course may comprise of 8 classes, however 2 classes were held beforehand, and 6 are upcoming classes that are available to purchase. You will not be charged for the previous 2 classes, only the 6 upcoming classes.

The current number of classes available for purchase depend on the upcoming dates listed in the course schedule.

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