تعداد دورهها: 797
Join DJ Patil—the former US chief data scientist—as he tackles questions posed by LinkedIn members, diving into topics ranging from data security to the future of data science. Tune in every Wednesday for a fresh set of answers.
Learn how to format, compare, calculate, manage, and troubleshoot dates and times using R-based tools.
Martin John Hadley
Learn how to develop data-driven web apps using the R language and Shiny.
Discover how to build, edit, and publish interactive reports using Reporting Services in SQL Server.
Explore the fascinating—and often surprising—psychological and sociological implications of emerging technologies. Tune in each month for a new set of insights.
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.
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.
Learn the ins and outs of fantasy football. Outsmart your competitors by learning how to leverage the power of data science to draft and manage a formidable team.
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 key themes in data visualization, data storytelling, and information design, and listen to interviews with leading designers and data visualization experts.
Learn how to do deep learning with images on Apache Spark, using the Databricks deep learning library and Python.
Learn how to architect data science solutions at scale using the capabilities provided by Google Cloud Platform (GCP).
Sharing data science work can be messy. Learn how to use Docker—the popular tool for deploying and managing apps as containers—to more efficiently share machine learning models.
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 use OpenCV, the popular computer vision library, to run pretrained deep learning models.
Learn easy-to-use commands, features, and functions for managing and analyzing large amounts of data in Excel 2019 and Excel for Office 365.
Learn about the new and improved features in SQL Server 2019, including support for big data clusters and machine learning services.
Learn statistics. Dr. Joseph Schmuller uses Microsoft Excel to teach the fundamentals of descriptive and inferential statistics.
Learn more statistics fundamentals. Find out how to perform ANOVA, regression, and correlation testing and run simulations in Microsoft Excel.
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