Description
Course info
Rating
(498)
Level
Beginner
Updated
Sep 15, 2017
Duration
1h 9m
Description

These skills are commanding significantly higher salaries as data science is revolutionizing the world around us. However, most developers and IT professionals have not yet learned this valuable set of skills. In this course, Data Science: The Big Picture, you'll be provided with a high-level understanding of what data science is, why it's important, and where these trends appear to be going. First, you'll discover key data science trends like data analytics. Next, you'll explore the Internet of Things and Big Data. Finally, you'll learn about machine learning. By the end of this course, you'll have a better understanding of data science and the tools, technologies, and trends driving the data science revolution.

About the author
About the author

Matthew is a data science consultant, author, and international public speaker. He has over 17 years of professional experience working with tech startups to Fortune 500 companies. He is a Microsoft MVP, ASPInsider, and open-source software contributor.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, I'm Matthew Renze with Pluralsight, and welcome to Data Science: The Big Picture. Data science is the practice of transforming raw data into actionable insight. In our data-driven economy this set of skills is in extremely high demand in commanding significant increases in salary as it's revolutionizing the world around us. However, most developer and IT professionals have not yet learned this valuable set of skills. In this course, we'll answer the following three questions, what is data science, why is it important, and where is this all going. To answer these questions we'll look at a series of trends that are diving the data science revolution, including data analytics, the internet of things, big data, and machine learning. Finally, we'll see how all of these trends are converging to create fully-autonomous, intelligent systems, which will likely revolutionize our economy and our world as we know it. By the end of this course you'll understand data science and the tools, technology, and trends driving the data science revolution. As an introductory course there are no prerequisites for this course; we'll be explaining everything you need to know along the way, so please join us today at Pluralsight and learn how to become part of the data science revolution with Data Science: The Big Picture.

Data Analytics
Hello again, and welcome to our next module on Data Science: The Big Picture. I'm Matthew Renze with Pluralsight, and in this module we'll learn about data analytics, the application of data science practices to the world of business. As an overview of this module, first we'll learn about data analysis, the predecessor to data analytics and the core of data science. Next we'll learn about data analytics, the application of data science practices to the world of business. Then we'll learn about data-driven decision making, the future trend of data science in the business world. Finally, we'll see a few examples of industries that have been significantly disrupted by the application of data science to their professions, so let's get started.

Internet of Things
Hello again, and welcome to our next module on Data Science: The Big Picture. I'm Matthew Renze with Pluralsight, and in this module we'll learn about the internet of things, the connection of devices and sensors to the internet creating a tremendous amount of data to be analyzed. As an overview of this module, first we'll learn about the internet of the past, we'll learn about the technological and economic constraints that govern the internet and the limited amounts of data that the internet was generating. Next, we'll learn about the internet of things, the interconnection of devices and sensors via the cloud that's now generating tremendous amounts of data. Then we'll look to the future to learn about the internet of everything. We'll see what types of data may be available to be analyzed in the very near future. Finally, we'll look at a few examples of devices that have recently been connected to the internet to see how the data they generate can create completely new value. So let's get started.

Big Data
Hello again, and welcome back to Data Science: The Big Picture. I'm Matthew Renze with Pluralsight, and in this module we'll learn about big data, data sets beyond the capabilities of conventional computing architecture and the technologies we use to extract insight from these data sets. As an overview of this module, first, we'll learn about the data of the past. Data sets that were relatively small, slowly processed, and had little diversity. Next we'll learn about big data, data sets beyond the limitations of conventional computing architecture and the technologies we used to extract insight from these data sets. Then we'll look to the future to see how the big data trend may likely return to being just data again. Finally, we'll see a few example of novel insights that have been extracted from large data sets using big data technologies. So let's get started.

Machine Learning
Hello again, and welcome to our next module on Data Science, The Big Picture. I'm Matthew Renze with Pluralsight, and in this module, we'll learn about machine learning, software able to learn how to solve problems without being explicitly programmed to do so. As an overview of this module, first, we'll learn about the artificial intelligence of the past, the first generation of intelligence software that was able to make rational decisions, but required being explicitly programmed to do so. Next, we'll learn about machine learning, the next generation of artificial intelligence, software able to solve tasks without being explicitly programmed to do so by detecting statistical patterns and data. Then we'll learn about deep learning, the future of artificial intelligence and machine learning which involves deeply stacked layers of machine learning able to solve more complex problems without explicit programming. Finally, we'll see three examples of tasks where deep learning algorithms now outperform their human counterparts. So let's get started.

Closing the Loop
Hello again, and welcome to our final module on Data Science, The Big Picture. I'm Matthew Renze with Pluralsight, and in this module, we'll learn about the future of data science and we'll wrap things up for this course. As an overview of this module, first, we'll close the loop to learn how all of these data science trends are converging to create fully autonomous intelligent systems. Next, we'll learn about how these autonomous systems will impact our economy and our society. Then we'll learn where to go for more information. And finally, we'll wrap things up for this module and for the course as a whole. So let's get started.