AI 101- A Beginner Guide to Data Science and AI

AI 101: A Beginners Guide to Data Science and AI, available at $19.99, has an average rating of 4.5, with 12 lectures, 6 quizzes, based on 2 reviews, and has 517 subscribers.

You will learn about Understand the definitions of data science and artificial intelligence Learn about the history of data science and artificial intelligence Explore the different applications of data science and artificial intelligence Learn how to collect data Learn how to clean data Learn how to preprocess data Learn how to explore data Learn how to identify patterns in data Learn how to visualize data Understand the definition of statistical modeling Learn about different types of statistical models Learn how to fit statistical models Learn how to evaluate statistical models Understand the definition of machine learning Learn about different types of machine learning algorithms Learn how to train machine learning models Learn how to evaluate machine learning models Understand the definition of deep learning Learn how deep learning works Learn about different types of deep learning models Learn how to train deep learning models Learn how to evaluate deep learning models Understand the definition of natural language processing Learn how natural language processing works Learn about different tasks in natural language processing Learn how to implement natural language processing Understand the definition of computer vision Learn how computer vision works Learn about different tasks in computer vision Learn how to implement computer vision Understand the ethical considerations of AI Learn how to avoid bias in AI Apply the skills learned in the course to a real-world project This course is ideal for individuals who are 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. It is particularly useful for 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.

Enroll now: AI 101: A Beginners Guide to Data Science and AI

Summary

Title: AI 101: A Beginners Guide to Data Science and AI

Price: $19.99

Average Rating: 4.5

Number of Lectures: 12

Number of Quizzes: 6

Number of Published Lectures: 11

Number of Published Quizzes: 6

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 20

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the definitions of data science and artificial intelligence

Learn about the history of data science and artificial intelligence

Explore the different applications of data science and artificial intelligence

Learn how to collect data

Learn how to clean data

Learn how to preprocess data

Learn how to explore data

Learn how to identify patterns in data

Learn how to visualize data

Understand the definition of statistical modeling

Learn about different types of statistical models

Learn how to fit statistical models

Learn how to evaluate statistical models

Understand the definition of machine learning

Learn about different types of machine learning algorithms

Learn how to train machine learning models

Learn how to evaluate machine learning models

Understand the definition of deep learning

Learn how deep learning works

Learn about different types of deep learning models

Learn how to train deep learning models

Learn how to evaluate deep learning models

Understand the definition of natural language processing

Learn how natural language processing works

Learn about different tasks in natural language processing

Learn how to implement natural language processing

Understand the definition of computer vision

Learn how computer vision works

Learn about different tasks in computer vision

Learn how to implement computer vision

Understand the ethical considerations of AI

Learn how to avoid bias in AI

Apply the skills learned in the course to a real-world project

Who Should Attend

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.

Target Audiences

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.

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!

Course Curriculum

Chapter 1: Lesson 1: Introduction to Data Science and Artificial Intelligence

Lecture 1: Lesson 1: What is Data Science?

Chapter 2: Lesson 2: Data Collection and Preprocessing

Lecture 1: Lesson 2: Data Collection

Lecture 2: Assignment 1 Sample Answer

Chapter 3: Lesson 3: Exploratory Data Analysis

Lecture 1: Lesson 3: Exploring Data

Chapter 4: Lesson 4: Statistical Modeling

Lecture 1: Lesson 4: Statistical Modelling

Chapter 5: Lesson 5: Machine Learning

Lecture 1: Lesson 5: What is Machine Learning?

Chapter 6: Lesson 6: Deep Learning

Lecture 1: Lesson 6: What is Deep Learning?

Chapter 7: Lesson 7: Natural Language Processing (NLP)

Lecture 1: Lesson 7: What is Natural Language Processing?

Chapter 8: Lesson 8: Computer Vision

Lecture 1: Lesson 8: What is Computer Vision?

Chapter 9: Lesson 9: Ethics and Bias in AI

Lecture 1: Lesson 9: Ethical Considerations of AI

Chapter 10: Lesson 10: Project

Lecture 1: Lesson 10: AI Project Tutorial – How to Build a Chatbot

Instructors

Peter Winkler
Director of Southern Star Language School

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!