www.nubobeauty.com

Learn about the tools and techniques for analyzing text data in R and discover how to perform machine learning and predictions.

Get up and running with Tableau Desktop 2019. Learn how to apply the power of Tableau to visualize your data and make better, more data-driven decisions.

Discover how to implement transfer learning using PyTorch, the popular machine learning framework.

Explore the basics of deep learning using PyTorch. Learn about the components of an image recognition model using the Fashion MNIST dataset.

Explore the essential mathematical concepts—including single-variable calculus, multivariable calculus, and matrices—you need to work with machine learning and AI.

Learn how to do deep learning with images on Apache Spark, using the Databricks deep learning library and Python.

Learn the essential techniques for cleansing and processing text in Python. Discover how to convert text to a form that's ready for analytics and predictions.

Learn about the techniques for analyzing text data in Python and perform machine learning and predictions.

Learn how to develop data-driven web apps using the R language and Shiny.

Learn how to analyze and display data. Discover how to install or connect to Qlik Sense, import and summarize data, create and manipulate data visualizations, and create dashboards.

Learn how to develop and manage SQL Server databases with Azure Data Studio—the easy-to-use data management tool for Windows, Mac, and Linux.

Master the fundamentals of SQL Server 2019. Learn how to create new databases, tables, and queries; manage query performance; create and restore a backup of a database; and more.

Learn R on your lunch break. This weekly series reviews the language features, development tools, and libraries that will make you a more productive R programmer.

Explore the fundamentals of SAS as you learn how to conduct a descriptive analysis of a health survey dataset.

Learn about key themes in data visualization, data storytelling, and information design, and listen to interviews with leading designers and data visualization experts.

Learn how to decode the statistics that pop up on a daily basis—from political polls to football scores. Eddie Davila explores a different real-world topic each week.

Take a deeper dive into machine learning with Amazon Web Services (AWS). Learn how to approach common machine learning tasks using key techniques.

Take a deeper dive into Stata, the popular statistics software. Explore advanced and specialized topics, from panel data modeling to interaction effects in regression models.

Join former U.S. chief data scientist DJ Patil, as he tackles questions posed by LinkedIn members. Topics range from data security to the future of data science.

Learn how to use MATLAB 2018 for numerical analysis, data modeling, and data visualization.

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.

Learn how to extract, transform, and load data (and create ETL packages) with SQL Server Integration Services, one of the core add-on components to SQL Server.

Extend your basic knowledge of statistics by building analytics skills using Python and powerful third-party libraries.

Learn how to design machine learning solutions with Google Cloud Platform. Review services such as AutoML, CloudML Engine, and the GCP machine learning APIs.

Discover how to build, edit, and publish interactive reports using Reporting Services in SQL Server.

Learn how to install and configure MySQL on various platforms, including Mac, Windows, and Ubuntu Linux.

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.

Learn about the new and improved features in SQL Server 2019, including support for big data clusters and machine learning services.

Learn how to use machine learning to automate and improve your marketing campaigns, including customer engagement and account-based marketing.

Learn KNIME, a popular open-source platform for predictive analytics and machine learning. Discover how to use KNIME for merging and aggregation, modeling, data scoring, and more.

Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.

Learn how to run multiple comparison tests in Excel and R to pinpoint mean differences in multiple groups of data.

Learn about the General Data Protection Regulation (GDPR), a privacy-related regulation in the EU. Discover if you are impacted and how your organization can comply.

Learn how to model time series data and apply advanced analysis techniques using SQL.

Learn basic techniques for constructing and interpreting confidence intervals, as well as what they can tell you about your personal and business decisions.

Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.

Learn how to choose and install a version of R-base R, tidyverse R, R Open, or Bioconductor R-and install useful R packages.

Get up to speed with Elasticsearch. Learn about the architecture of Elasticsearch, the different deployment methods, how to query data, how to work with Kibana, and more.

Discover how to work with the pandas library and tools for data analysis and data structuring.