Writing Analytical Queries for Business Intelligence Training Course (55232-A)

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Course 55232-A: Writing Analytical Queries for Business Intelligence Course Overview

This course is about writing TSQL queries which is for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis - in other words, making meaning from the data rather than transaction-oriented data-tier application development.

The course will be starting with a brief discussion of levels of measurement and quantitative research methodology, and integrates these concepts into each TSQL topic presented. The goal of this course is to provide participants a consistent, direct, and purposeful learning path for RDBMS data retrieval for use in analytical tools such as SQL Server, Reporting Services, PowerBI, R, and Excel.

Audience

  • Information Workers and Data Science professionals who prefers to use database reporting and analysis tools like Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and is willing to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

Destination Training
(Dubai/London/Sydney
New York/Goa)

Flexi
(Video Recording of Live Online)

You will learn:

Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY
  • Turning Columns into Variables for Analysis
  • Column Expressions Data Types and Built-in Functions
  • Column aliases
  • Data type conversions
  • Built-in Scalar Functions
  • Table Aliases
  • The WHERE clause
  • ORDER BY
  • Lab 2- Write queries using:
  • Primary Keys Foreign Keys and Joins
  • Understanding Joins Part 1: CROSS JOIN and the Full Cartesian Product
  • Understanding Joins Part 2: The INNER JOIN
  • Understanding Joins Part 3: The OUTER JOINS
  • Understanding Joins Part 4: Joining more than two tables
  • Understanding Joins Part 5: Combining INNER and OUTER JOINs
  • Combining JOIN Operations with WHERE and ORDER BY
  • Lab 3- Write SELECT queries using:
  • Identifying required aggregation level and granularity
  • Aggregate Functions
  • GROUP BY
  • HAVING
  • Order of operations in SELECT queries
  • Lab 4- Write queries using:
  • Non-correlated and correlated subqueries
  • Derived tables
  • Common table expressions
  • Lab 5- Write queries using:
  • Views
  • Table-valued functions
  • Stored procedures
  • Creating objects for read-access users
  • Creating database accounts for analytical client tools
  • Lab 6
  • Connecting to SQL Server and Submitting Queries from Client Tools
  • Connecting and running SELECT queries from:
  • Excel
  • PowerBI
  • RStudio
  • Exporting datasets to files using
  • Results pane from SSMS
  • The bcp utility
  • The Import/Export Wizard
  • Lab 7
Live Online Training (Duration : 24 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Can’t Attend Live Online? Click to Buy Flexi For Only $119 (Video Recording of Live Online)
Course Prerequisites
  • Context knowledge of data analysis and business intelligence scenarios.
  • Basic knowledge of the Windows operating system and its core functionality, including file system navigation.
  • Basic understanding of the purpose of relational database management systems such as SQL Server.

Upon completion of this course, you will be able to accomplish

  • Knowing the methods to identify independent and dependent variables and measurement levels in their own analytical work scenarios.
  • Knowing to identify variables of interest in relational database tables.
  • Choose a data aggregation level and data set design appropriate for the intended analysis and tool.
  • Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others.
  • To create stored procedures, views, and functions to modularize data retrieval code.

 

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