Python Crash Course for Data Science and Machine Learning
Python Crash Course for Data Science and Machine Learning
Duration: 1h 39m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 381 MB
Genre: eLearning | Language: English
Duration: 1h 39m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 381 MB
Genre: eLearning | Language: English
Learn the Python fundamentals from scratch and kick-off your practical data science learning path
What you'll 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
Requirements
There are no specific prerequisites for starting this training as it is designed for absolute beginners.
Description
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!
Who this course is for:
Developers curious about data science projects
Beginner Data Scientists
ML/AI Engineers
More Info
Python Crash Course for Data Science and Machine Learning
