AI 101: A Beginner's Guide to Data Science and AI
AI 101: A Beginner's 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 Beginner's Guide to Data Science and AI
Summary
Title: AI 101: A Beginner's 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
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 0 votes
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!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024