Hello and welcome to module two of data science fundamentals for data analysts. My name is Astrid and if we didn't meet before in the first course in the specialization, nice to meet you. I work on the curriculum team here in Databricks now, every time you see me, it means that you're getting ready to start a brand new module in this course, and I'll help you get familiar with some of the things that you'll be doing in that module. In the previous module, you learned all about this course. You also have the option of learning more about Databricks and Databricks Community Edition. And that's the free tool that you use to complete the hands on exercises in this course. So if you're not familiar with using database community edition, it's probably a good idea that you go back and review those materials now before moving forward. Next, we're going to start talking about data science. In this module, an introduction to data science, we have a single lesson with just one objective, and that is that by the end of this module you'll be able to explain how data science makes use of interdisciplinary skills to solve real world problems. Along the way, we'll explore the scientific method, the fundamental skills of data science and data science itself. You'll build a better understanding of what data science is and what skills are necessary to perform modern an effective data science. All of these concepts will be taught through a series of videos, knowledge checks and a a peer-reviewed activity at the end of the module. In just so you're aware, each of the videos will be focused on teaching you new concepts and the activities, that's where you'll be able to apply what you've learned. So when you are ready click on to the next video where my colleague is waiting for you.