3538 Intelligence courses

Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

This course will help you prepare for the AI-900 Exam: Microsoft Azure AI Fundamentals. We will cover the complete exam syllabus as updated in April 2021 with sample questions.

Pivot tables are really very easy to create, but very powerful. By using Excel pivot tables, one can get very interesting and valuable business intelligence from your data in very little time. This short session aims to give you the techniques to use this valuable Excel tool creatively. It is enough time to learn a lot about Excel Pivot Tables, but there is very little time for other questions.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites Basic understanding of relational databases. Basic Windows knowledge. Module 1: Introduction to Transact-SQL What is Transact-SQL The SELECT statement The WHERE clause Sorting results Calculations CASE expressions Module 2: Joining tables with Transact-SQL The JOIN clause Inner joins Outer joins Self joins and cross joins Module 3: Filtering and sorting results Implement the ORDER BY clause Filter data with the WHERE clause Limit the number of rows returned by a query Implement NULL logic Module 4: SQL Server data types Understand data types Implement string data types Implement temporal data types Module 5: Inserting, updating and deleting data Insert new records Update existing records Delete data Module 6: Using SQL Server functions with Transact-SQL Understand function types in SQL Server Convert data using functions Implement logical functions Work with NULL data using functions Module 7: Aggregating data with Transact-SQL Implement aggregation in SQL Server Group records in SQL Server Filter aggregated data Module 8: Implement subqueries with Transact-SQL Implement scalar and multi-valued sub-queries Implement correlated subqueries Implement existence checks with subqueries Module 9: Create queries that use table expressions Create views Create table-valued functions Implement derived tables Implement common table expressions Module 10: Use UNION, INTERSECT, EXCEPT and APPLY on multiple sets of data Write queries with the UNION operator Write queries with the INTERSECT and EXCEPT operators Write queries with the APPLY operator Module 11: Implement window functions in queries Understand window functions Impement window functions Module 12: Use PIVOT and grouping sets in queries Implement PIVOT in queries Implement grouping sets in queries Module 13: Use stored procedures in queries Query data with stored procedures Interact with stored procedures using input and output parameters Write simple stored procedures Pass dynamic SQL to SQL Server Module 14: Implement programming features in Transact-SQL Understand T-SQL programming elements Implement loops and conditions in T-SQL queries Module 15: Add error handling to queries Understand SQL Server error handling Implemet structured exception handling Module 16: Use transactions in queries Understand database transactions Implement transactions in T-SQL

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