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SQL for Business Analytics

BIT’s SQL for Business Analytics Professional online training course will provide you with in-depth knowledge on Microsoft SQL Server. You will master how to design and develop enterprise class data warehouse and build reporting solution, SQL and do performance tuning in data warehouses.

  • 35000
  • 40000
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  • Course Includes
  • Live Class Practical Oriented Training
  • 70 + Hrs Instructor LED Training
  • 45 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option
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What you will learn

  • Describe key capabilities and components of SQL Server. Describe T-SQL, sets, and predicate logic.
  • Write SELECT statements with filtering and sorting. Describe how SQL Server uses data types.
  • Write queries that use built-in functions. Write queries that aggregate data.
  • Create and implement views and table-valued functions. Use set operators to combine query results.
  • Write queries that use window ranking, offset, and aggregate functions. Transform data by implementing pivot, unpivot,...
  • Design and Implement Tables. Describe advanced table designs
  • Ensure Data Integrity through Constraints. Describe indexes, including Optimized and Columnstore indexes
  • Design and Implement Views. Design and Implement Stored Procedures.
  • Design and Implement In-Memory Tables. Implement Managed Code in SQL Server.

Requirements

  • There are no prerequisites for taking up this training program.

Description

|| About SQL for Business Analytics Training 

BIT's SQL for Business Analytics Professional online training course lets you gain proficiency in MS SQL. Boost your business SQL skills. Whether you’re in marketing, finance, or product, knowing how to make data-driven decisions is the key to success. The more fluently you can retrieve and analyse your data, the quicker you’ll uncover actionable insights and grow your business. In this track, you’ll learn how to quickly explore and analyse data to help you make smarter business decisions. Through hands-on practice, you’ll learn everything from creating and joining tables to writing queries, subqueries, and aggregate functions, providing you with the skills you need to excel and overcome real-world business challenges. 

 

In this course, you’ll learn to use Structured Query Language (SQL) to extract and analyse data stored in databases. You’ll first learn to extract data, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, temp tables, and window functions. By the end of the course, you’ll be able to write efficient SQL queries to successfully handle a variety of data analysis tasks. This is a practical hands-on course covering SQL fundamentals, required for a business analyst and IT management professional.

 

Course Content

Live Lecture

·      Various types of databases                       

·      Introduction to Structured Query Language        

·      Distinction between client server and file server databases          

·      Understanding SQL Server Management Studio

·      SQL Table basics              

·      Data types and functions              

·      Transaction-SQL               

·      Authentication for Windows                    

·      Data control language                   

·      The identification of the keywords in T-SQL, such as Drop Table

·      Practical Exercise
Live Lecture

·      Entity-Relationship Model            

·      Entity and Entity Set                    

·      Attributes and types of Attributes            

·      Entity Sets             

·      Relationship Sets               

·      Degree of Relationship                 

·      Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many

·      Symbols used in E-R Notation

·      Practical Exercise
Live Lecture

·      Introduction to relational databases                      

·      Fundamental concepts of relational rows, tables, and columns                

·      Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys                       

·      Understanding group functions                

·      The unique key

·      Practical Exercise
Live Lecture

·      Join                        

·      Tables                    

·      Variables

·      Practical Exercise