0(0 Ratings)

Strike

Categories ComiCo-Advanced
Wishlist

What I will learn?

  • NumPy - This library provides the ndarray object for efficient storage and manipulation of dense data arrays in Python.
  • Pandas - This library provides the DataFrame object for efficient storage and manipulation of labeled/columnar data in Python.
  • Matplotlib - This library provides capabilities for a flexible range of data visualizations in Python.
  • Scikit-Learn - This library provides efficient and clean Python implementations of the most important and established machine learning algorithms.

Course Curriculum

Beyond Normal Python

  • Lesson 1

Introduction to NumPy

Data Manipulation with Pandas

Visualization with Matplotlib

Machine Learning

Artificial Intelligence

This course is full right now. We limit the number of students to create an optimized and productive group dynamic.
  • Level
    Intermediate
  • Certificate
    Certificate of completion

A course by

C

Material Includes

  • Hundreds of Illustrations to make you understand each concept.
  • Built-in code editor to write and execute the code that you'll learn in the lessons.
  • Numerous challenge problems to test your knowledge of the learned concepts.

Requirements

  • Familiarity with the Python language, including defining functions, assigning variables, calling methods of objects, controlling the flow of a program, and other basic tasks.
  • Embark Course will be a good start.

Tags

Target Audience

  • Anyone who wants to learn to use Python’s data science stack—libraries such as IPython, NumPy, Pandas, Matplotlib,
  • Scikit-Learn, and related tools—to effectively store, manipulate, and gain insight from data.

Want to receive push notifications for all major on-site activities?

✕
Scroll to Top