Python Crash Course for Data Science and Machine Learning

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Unleash the Power of ML

Machine Learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and ML experts to develop products, features, and projects that will help them unleash the power of machine learning. As a result, a data scientist is one of the top ten wanted jobs worldwide!

Starting with Python

This course is designed for beginners looking to enter the practical side of data science. You will learn the Python fundamentals and syntax for developing data science projects by using the JupyterLab tool while creating Jupiter notebooks. The course includes a summary exercise as well as a complete solution to practice Python.

The Game just Started!

Enroll in the training program and start your journey to become a data scientist!

Created by Idan Gabrieli

Source : www.udemy.com

Show More

What Will You Learn?

  • Learners will understand the importance of Python Language in Data Science and Machine Learning
  • Python syntax for developing data science projects
  • Using JupyterLab for Jupiter notebooks
  • Variables and Data Types
  • Lists and Dictionaries
  • IF and For-Loop Statements
  • Functions, Classes, Objects, Attributes, and Methods
  • Libraries for Data Science Projects

Course Content

Getting Started

  • Anaconda Installation
    04:22
  • JupyterLab Overview
    03:52
  • Working with a Jupyter Notebook
    14:17

Python Fundamentals for Data Science

Course Summary