bestcourses is supported by learners. When you buy through links on our website, we may earn an affiliate commission. Learn more
Python Crash Course for Data Science and Machine Learning
Learn the Python fundamentals from scratch and kick-off your practical data science learning path
Created by Idan Gabrieli, offered on Udemy
To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 9565 students which left 171 reviews at an average rating of 4.13, which is average.
We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 1 hours 39 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.
This course currently has a bestcourses score of 6.0/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.
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!
What you will learn
- 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
- There are no specific prerequisites for starting this training as it is designed for absolute beginners.