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Beginner's Guide to Data Science and AI
Rating: 4.5 out of 5(32 ratings)
1,260 students

Beginner's Guide to Data Science and AI

Explore the basics of data science and artificial intelligence now!
Created byMiuul Data Science & Deep Learning
Last updated 6/2024
English
English

What you'll 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

Course content

5 sections • 15 lectures • 1h 18m total length

  • Introduction to Data Science and Artificial Intelligence1:31

    Explore how data science and AI shape daily life in the AI era, and how data scientists turn data into actionable insights via a real-world case study.

  • Getting Ready for the Age of AI4:23

    Discover how data fuels the AI age, with data as the new oil and AI as the new electricity, shaping everyday apps through personalization and targeted marketing.

Requirements

  • No prior experience in programming or statistics is required.

Description

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

  • 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.

  • 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.

  • Fundamental Concepts: Delve into the core elements of data science, learning what data scientists do and how they extract meaningful insights from complex data.

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • 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!

Who this course is for:

  • 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

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