This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?
Discover how to apply your understanding of R—the language of big data—in the SAS environment.SAS is a hugely popular data analytics platform with millions of users. R is the language of big data. In this course, enhance your programming skillset by learning how to apply your understanding of R in the SAS environment. Instructor Jordan Bakerman kicks off the course with an introduction to SAS and SAS Studio. He covers several essential concepts, including how to write a program in SAS Studio, use tasks and snippets, and call R from SAS. He also walks through importing and reporting data, and creating new variables, functions, and data tables.Note: You can visit the SAS site to obtain a copy of the software, and use the companys online data sets to do the course exercises.
Discover how to apply your understanding of R—the language of big data—in the SAS environment. To get the most from this course, make sure to watch part 1 of this series.SAS Programming for R Users explores how you can apply your understanding of Râthe language of big dataâin the SAS environment. In this course, Jordan Bakerman walks through essential SAS programming concepts. To begin, he discusses random number generation and plotting, including how to create standard R plots and enhance the plot. He then dives into a discussion of descriptive procedures, Output Delivery System (ODS), and macros, sharing how to create data tables with ODS, create macro programs with macro statements, and more. To get the most from this course, make sure to watch SAS Programming for R Users, Part 1.Note: You can visit the SAS site to obtain a copy of the software, and use the companys online data sets to do the course exercises.
Prepare to take the SAS 9.4 certification exam. Learn how to integrate the power of SQL programming with SAS, in this SAS Institute cert prep course.Want to get ahead in a crowded job market? Get certified with SAS. This course is part of a series by the SAS Institute, designed to prepare you for the SAS 9.4 certification. The following videos introduce you to methods to integrate the power of SQL programming with SAS. Instructor Stacey Syphus explains how SQL fits in the SAS pipeline and shows how to use SQL to filter and sort output and create and delete tables. Plus, learn how to join tables with SQL to easily combine your data.This course was created by SAS Institute. We are pleased to offer this training in our library.
In this introductory course, learn how to create your first WinForms or WPF application on .NET Core.
Enhance your programming skillset by learning how to apply your understanding of R— the language of big data—in the SAS environment at an advanced level.SAS is one of the most used data analytics platforms in the world. Enhance your programming skillset by learning how to apply your understanding of Râ the language of big dataâin the SAS environment at an advanced level. Instructor Jordan Bakerman covers several different advanced techniques for analyzing data via inferential procedures. Learn about linear regression with PROC REG, estimating linear combinations with the general linear model procedure, mixed models and the MIXED procedure, and more.Note: You can visit the SAS site to obtain a copy of the software, and use the companys online data sets to do the course exercises.
Learn how to apply your understanding of R—the language of big data—in the SAS environment at an advanced level.Advanced SAS Programming for R Users explores sophisticated techniques and concepts that can help you apply your understanding of Râthe language of big dataâin the SAS environment at an advanced level. In this course, Jordan Bakerman walks through several advanced SAS programming concepts. To begin, he covers the basics of the Interactive Matrix Language (IML), and discusses random number generation in IML, common IML modules, and how to pull a SAS dataset into an IML matrix. He then discusses how to call R from SAS, work with R from IML, and more. To get the most from this course, make sure to watch Advanced SAS Programming for R Users, Part 1. Note: You can visit the SAS site to obtain a copy of the software, and use the companys online data sets to do the course exercises.
This is the third part of the three part course (DADM-I, DADM-II, DADM-III) which covers "Operations Research and its tools with applications". In general Decision Analysis and Decision Making (DADM) covers three main areas which are: Multivariate Statistical Analysis with its applications, Other Decision Making Models like DEA, AHP, ANP, TOPSIS, etc., and Operations Research and its tools with applications. These three part DADM course will be more practical and application oriented rather than theoretical in nature.INTENDED AUDIENCE: Masters in Business Administration, Masters in Economics, Masters in Statistics/Mathematics, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, PhD in related fields as mentioned abovePREREQUISITES: Probability & Statistics Operations ResearchINDUSTRY SUPPORT: Manufacturing industry, chemical industry, steel industry, cement industry, etc.
Learn how to protect yourself from copyright infringement. Explore what needs to be copyrighted, how to register one, and how to properly respond to infringement.Many creative people are familiar with the frustrating experience of discovering that their work is being used online without their permission. But not all of the artists whose work is being copied and resold know how to properly manage the situation. In this course, Von Glitschka dives into the subject of copyrights, sharing key information that you need to know to protect your work. Von explains what a copyright is, what needs to be copyrighted, and how to register one. He also explores copyright infringement, explaining where it commonly happens and how to know if you're a victim. From there, he and his lawyer take you through the process of responding to infringement, and demystify some common misconceptions about copyright law.
Get a thorough grounding in the concepts and skills needed for data analytics, including statistics, financial forecasting, data mining, predictive analytics, and meta-analysis.Explore the expanding applications for data analytics skills.Master statistics, the core skill needed in analytics work.Build skills in financial forecasting and data mining.
Explore the practice of data analysis. Learn about the process of applying statistical and graphical techniques to data in order to discover useful information. Identify underlying principles, reasons, or facts by breaking down information or data into separate parts.Learn the process of applying statistical dataIdentify places where you can use Excel to analyze and manage your dataInform decisions using probability and distribution curves
This course teaches you how to run .NET on a Raspberry Pi microcontroller.
Learn how to transition your SQL Server experience to the clustered, document-focused NoSQL architecture of Couchbase.As data volumes increase, data management has evolved. One RDBMS no longer fits all. Learn how to transition your SQL Server experience to the clustered, document-focused enterprise NoSQL architecture of Couchbase. This course compares Couchbase and Microsoft SQL Server on many factors, including target workflows, data access methods, indexing, and querying. Instructor Leo Schuman also compares SQL Server tables to Couchbase documents, and shows how to create, read, update, upsert, and delete documents and the fields within them. The aim is to help developers to leverage Couchbase to support the agile, aggregation-oriented demands of modern enterprise development. By the end, youâll understand the fundamental architecture and data access methods in Couchbase, particularly N1QL (SQL for JSON).This course was created by Couchbase Learning Services. We are honored to host this training in our library.
Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.Learn the technical skills for data analyst career paths.Develop your competencies in high-demand analysis tools.Build communication, teamwork, and problem-solving skills.