December 2020
Beginner to intermediate
3h 59m
English
Closed Captioning available in English
Overview
In this 3-hour course, you'll explore the fundamentals of Python programming and the pandas library to prepare data for machine learning. Starting from setting up your development environment, you'll gradually work through concepts like data wrangling and cleaning, making them ready for analytical workflows.
What I will be able to do after this course
- Understand the basics of Python for data science workflows.
- Install and use the JupyterLab environment for executing Python code.
- Learn to process and transform datasets using pandas.
- Clean and prepare data for use in machine learning algorithms.
- Gain confidence in organizing and analyzing data for practical applications.
Course Instructor(s)
Idan Gabrieli is an experienced data scientist and educator with a passion for making complex subjects accessible to beginners. With a background in Python and data science, Idan has taught numerous courses focusing on practical skills development and hands-on learning. His approachable style ensures learners feel supported as they grow their skills.
Who is it for?
This course is specially designed for individuals starting their journey in machine learning and data science, particularly those with minimal or no prior experience. Beginners in Python programming looking to understand its application in data processing and preparation will find this course useful. If you're aiming to gain practical skills for preparing data for machine learning or analytical tasks, this course is for you. It acts as a seamless continuation for graduates of "Machine Learning for Absolute Beginners - Level 1."
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