4.1 out of 5
4.1
173 reviews on Udemy

Python Crash Course for Data Science and Machine Learning

Learn the Python fundamentals from scratch and kick-off your practical data science learning path
Instructor:
Idan Gabrieli
9,566 students enrolled
English [Auto]
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

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!

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.1
4.1 out of 5
173 Ratings

Detailed Rating

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30-Day Money-Back Guarantee

Includes

2 hours on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion

Archive

Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed