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Showing 141-160 of 264 items.

Learning Microsoft SQL Server 2019

Get a quick introduction to SQL Server 2019. This course was designed to help brand-new users quickly get up and running with this professional-grade database management system.

Learning Oracle Database 12c

In this course, database administrators can learn how to configure Oracle Database 12c, and business intelligence developers can learn how to effectively write applications using it.

Learning Public Data Sets

Learn how to find free, public sources of data on a variety of business, education, and health issues and download the data for your own analysis.

Learning R

Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.

Learning SQL Server 2017

Get started with SQL Server 2017. Explore the most important features of SQL Server, and learn how the server operates, how to create tables and manipulate data, and more.

Learning TensorFlow with JavaScript

Get introduced to TensorFlow and machine learning. Learn how you can leverage your JavaScript skills to create a machine learning project.

Learning the R Tidyverse

Learn to integrate the tidyverse into your R workflow and get new tools for importing, filtering, visualizing, and modeling research and statistical data.

Learning Transact-SQL

Learn how to utilize Transact-SQL to address real business requirements and gain a solid understanding of your SQL Server database.

Learning XAI: Explainable Artificial Intelligence

Learn how explainable artificial intelligence (XAI) works and how it will impact data science-related projects and businesses.

Lessons from Data Scientists

Get advice and real-world lessons from practicing data scientists: from how to get a job to mastering your skills to growing in your role.

LinkedIn Learning Highlights: Data Science and Analytics

Sample highlights from LinkedIn Learning courses covering a wide range of data science and AI/machine learning topics, from data ethics to working with Python, R, SQL, and more.

Logistic Regression in R and Excel

Learn how to perform logistic regression using R and Excel. This course shows how to process, analyze, and finalize forecasts and outcomes.

Machine Learning & AI Foundations: Clustering and Association

Learn how to use cluster analysis, association rules, and anomaly detection algorithms for unsupervised learning.

Machine Learning & AI Foundations: Decision Trees

Establish a strong foundation in ML by exploring the IBM SPSS Modeler and learning about CHAID and C&RT. This course is designed to help expand your data science skills.

Machine Learning & AI Foundations: Linear Regression

Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.

Machine Learning & AI Foundations: Recommendations

This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations—like recommending new products.

Machine Learning & AI Foundations: Value Estimations

Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.

Machine Learning & AI: Advanced Decision Trees

Work toward a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST and C5.0 algorithms and a few advanced topics.

Machine Learning and AI Foundations: Classification Modeling

Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.

Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale

Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.