Complete hands-on data science tutorial with Python, Anaconda Development Environment and Jupyter Notebooks
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
How to setup a Python development environment using Anaconda & Jupyter Notebooks
How to get started with Jupyter Notebooks for Python development
Learn to basic Python concepts such as creating and running your first program
Learn to use Python in lists, which is the first step to efficiently working with huge amounts of data.
Learn how to use code written by other Python developers
This comprehensive Learn Data Science with Python - Part 1: Python Basics curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Learn Data Science with Python - Part 1: Python Basics course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Tony Staunton
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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