AI 101: A Beginner's Guide to Data Science and AI

Course Provided by:Peter Winkler
Course Taken on: Udemy
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Description

Data Science and Artificial Intelligence: The Complete Course

Learn the skills you need to become a data scientist or artificial intelligence engineer

  • In-depth coverage of all the essential topics in data science and artificial intelligence

  • Hands-on exercises and projects to help you apply your skills

  • Learn from experienced instructors who are experts in the field

This course is perfect for anyone who wants to learn about data science and artificial intelligence. Whether you are a beginner or an experienced professional, you will find this course to be informative and engaging.

Here are some of the topics you will learn in this course:

  • Introduction to data science and artificial intelligence

  • Data collection and preprocessing

  • Exploratory data analysis

  • Statistical modeling

  • Machine learning

  • Deep learning

  • Natural language processing

  • Computer vision

  • Ethics and bias in AI

By the end of this course, you will be able to:

  • Understand the definitions of data science and artificial intelligence

  • Collect and preprocess data

  • Explore data and identify patterns

  • Fit statistical models and evaluate their performance

  • Train and evaluate machine learning models

  • Train and evaluate deep learning models

  • Implement natural language processing and computer vision

  • Understand the ethical considerations of AI

This course is taught by experienced instructors who are experts in the field of data science and artificial intelligence. They will share their knowledge and expertise with you, and help you to learn the skills you need to succeed in this field.

If you are interested in learning about data science and artificial intelligence, then this course is for you. Sign up today and start learning!

Requrirements

There are no specific prerequisites mentioned for this course. However, having a basic understanding of programming concepts, mathematics, and statistics would be beneficial. Familiarity with a programming language such as Python would also be helpful for implementing the techniques and algorithms discussed in the course.,While not mandatory, prior knowledge or experience in data analysis, machine learning, or any related field would provide a stronger foundation for grasping the concepts and progressing through the course material. However, the course is designed to cater to learners with varying levels of expertise, including beginners, and aims to provide a comprehensive introduction to data science and artificial intelligence.,It is recommended to have access to a computer with the necessary software and tools required for data analysis and programming, as practical exercises and projects will be an integral part of the course.,Overall, the course is structured to provide a step-by-step learning experience, starting with the basics and gradually progressing to more advanced topics. It aims to equip learners with the necessary knowledge and skills to understand and apply data science and artificial intelligence concepts effectively.

Course Includes

  • 32 mins on-demand video
  • Assignments
  • 1 downloadable resource
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion