Author
Released
3/24/2021Skill Level Advanced
Duration
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- [Shaun] Data science is a rapidly growing, incredibly interesting, and not to mention financially lucrative field. Many businesses, despite having access to a flood of data from a huge variety of sources, are finding themselves unable to make any sense of this data, and they're willing to pay good money to anyone who can help them do so. That's where data science comes in. In this course, I'll guide you through the basics of data science, and we'll also be doing things like manipulating and visualizing data and looking at in-depth, hands-on examples. Hi, I'm Shaun Wassell. I'm a senior software developer, and I've been working with data science throughout my career. Join me in my LinkedIn Learning course to learn data science with Java and see how to take your career to a whole new level. And of course, if you enjoy this content and want to get in contact with me, feel free to connect with me on LinkedIn. Let's get started.
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Introduction
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1. Data Science Basics
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What is data science anyway?4m 57s
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Data as a business asset2m 57s
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2. Representing Data in Java
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Data formatting in Java7m 13s
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More data formatting5m 43s
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Real-life data difficulties5m 30s
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3. Data Manipulation Techniques
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Mapping5m 55s
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Filtering5m 21s
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Collecting3m 21s
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Sorting4m 54s
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4. Loading Data in Java
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Reducing file size5m 20s
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Loading data from text files3m 29s
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Creating a person data class3m 56s
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Loading tab-separated files9m 20s
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Loading CSVs5m 21s
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Solution: Manipulating data3m 37s
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5. Data Visualization with JavaFX
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Setting up JavaFX5m 38s
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Displaying a scatterplot5m 22s
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Calculating average MPG4m 46s
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Displaying a bar chart4m 17s
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6. Modeling and Machine Learning
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7. K-Nearest Neighbors (KNN)
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K-nearest neighbor basics7m 35s
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Loading flower data6m 45s
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8. Naive Bayes
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Naive Bayes basics6m 30s
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Video: Data science: Making sense out of chaos