Data Science Basics

By Brian Roehm

We explore the fundamentals of data science including key concepts, use cases, basic approaches, and tools.

1 hour
  • 11 Lessons
  • 1 Hands-On Lab

About the course

What is artificial intelligence, machine learning, and big data? How do they impact my life and society? Explore these topics with a beginner-friendly introduction to data science, covering use cases, and problems solving solutions.

  • Chapter 1 2 Lessons Introduction 6:51

    Introduction

    1:47

    What Is Data Science

    5:04
  • Chapter 2 8 Lessons Exploring the World of Data Science 47:51

    What Are the Tools I Need to Be a Data Scientist

    5:16

    Learn About Big Data, What It Is, and Why We Need to Know About It Part 1

    5:52

    Learn About Big Data, What It Is, and Why We Need to Know About It Part 2

    6:19

    Encountering Artificial Intelligence (AI) Part 1

    6:44

    Encountering Artificial Intelligence (AI) Part 2

    6:12

    Understand Machine Learning and Why It Might Just Take Over the World

    8:15

    Learn the Major Types of Machine Learning and Enough Terminology to Become Dangerous

    9:13

    An Introduction to Azure Machine Learning Designer

    0:00 Hands-On Lab
  • Chapter 3 1 Lesson Conclusion 1:44

    Wrapping It All Up; Where Do We Go From Here?

    1:44

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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