Beginner's Guide to Data Science and AI
Beginner's Guide to Data Science and AI, available at Free, has an average rating of 4.33, with 15 lectures, based on 9 reviews, and has 482 subscribers.
You will learn about Understand core concepts and techniques in data science and AI Develop proficiency in using essential tools Apply knowledge to real-world problems Critical thinking and problem-solving skills This course is ideal for individuals who are Beginners interested in data science and AI or Professionals from non-technical fields seeking to understand data-driven decision making or Students looking for a practical introduction to data science and AI concepts It is particularly useful for Beginners interested in data science and AI or Professionals from non-technical fields seeking to understand data-driven decision making or Students looking for a practical introduction to data science and AI concepts.
Enroll now: Beginner's Guide to Data Science and AI
Summary
Title: Beginner's Guide to Data Science and AI
Price: Free
Average Rating: 4.33
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Understand core concepts and techniques in data science and AI
- Develop proficiency in using essential tools
- Apply knowledge to real-world problems
- Critical thinking and problem-solving skills
Who Should Attend
- Beginners interested in data science and AI
- Professionals from non-technical fields seeking to understand data-driven decision making
- Students looking for a practical introduction to data science and AI concepts
Target Audiences
- Beginners interested in data science and AI
- Professionals from non-technical fields seeking to understand data-driven decision making
- Students looking for a practical introduction to data science and AI concepts
Welcome to Miuul’s “Introduction to Data Science and Artificial Intelligence.” This course is designed for beginners and aims to demystify the core concepts in data science and AI. Whether you are looking to switch careers or simply gain a new skill, this course will lay the groundwork for your success.
What You’ll Learn
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Introduction to the Field: Start with a solid foundation in Data Science and Artificial Intelligence, setting the stage for understanding their roles in the modern technological landscape.
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Preparing for AI: Gain insights on how to adapt and thrive in the era of AI, learning about the shifts in skills and mindsets required to excel.
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Fundamental Concepts: Delve into the core elements of data science, learning what data scientists do and how they extract meaningful insights from complex data.
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AI Across Industries: Explore how AI is revolutionizing various sectors through real-world examples, from healthcare to finance, focusing on practical applications like image processing.
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CRISP-DM Methodology: Master the Cross-Industry Standard Process for Data Mining (CRISP-DM), including stages like business understanding, data understanding, data preparation, modeling, evaluation, and deployment.
Why Choose This Course
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Backed by Miuul: This course is created by Miuul, an innovative education and technology company with a focus on preparing individuals for the jobs of the future. Miuul not only educates but also provides consultancy services for data science projects, ensuring real-world relevance and updated curricula.
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Industry-Relevant Learning: With a design philosophy centered around creating effective learning experiences, Miuul enables students to quickly grasp high technologies through immersive and practical coursework.
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Proven Success: Join a thriving community of over 30,000 alumni who have transformed their careers through Miuul’s focused educational approaches. Learn from a curriculum tested and refined through engagement with over 100 corporate customers, ensuring you gain skills that are in demand.
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Career Advancement: Whether you’re seeking to start a new career in data science and AI or hoping to advance in your current field, this course offers the knowledge and skills you need to succeed in the rapidly evolving tech landscape.
Enroll now and take the first step toward becoming a data scientist!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Data Science and Artificial Intelligence
Lecture 2: Getting Ready for the Age of AI
Chapter 2: Basic Concepts
Lecture 1: Exploring Basic Concepts: Data Science and Data Scientist
Lecture 2: Extracting Useful Information from Data
Chapter 3: AI Applications
Lecture 1: Discovering AI Applications in Different Fields
Lecture 2: Image Processing Applications
Lecture 3: Surviving in the Age of AI
Lecture 4: Algorithms That Know You Better Than You
Chapter 4: CRISP-DM
Lecture 1: Business Understanding and Business Problem
Lecture 2: Understanding Data
Lecture 3: Data Preparation
Lecture 4: Modeling
Lecture 5: Evaluation
Lecture 6: Deployment
Chapter 5: Conclusion
Lecture 1: Recap
Instructors
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Miuul Data Science & Deep Learning
Data Science Team of Miuul.com
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 5 votes
- 5 stars: 3 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!
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