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
  • 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

Live Lecture

·      SQL functions                   

·      Operators & queries                      

·      Table creation                    

·      Data retrieval from tables              

·      Combining rows from tables using inner, outer, cross, and self joins                   

·      Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’           

·      Temporary table creation               

·      Set operator rules              

·      Table variables       

·      Practical Exercise

Live Lecture

·      Understanding SQL functions                  

·      Scalar functions                 

·      Aggregate functions                      

·      Functions that can be used on different datasets, such as numbers, characters, strings, and dates

·      Inline SQL functions                    

·      General functions              

·      Duplicate functions

·      Practical Exercise

Live Lecture

·      Understanding SQL subqueries, their rules          

·      Statements and operators with which subqueries can be used                 

·      Using the set clause to modify subqueries

·      Understanding different types of subqueries, such as where, select, insert, update, delete

·      Methods to create and view subqueries

·      Practical Exercise

Live Lecture

·      Learning SQL views                     

·      Methods of creating, using, altering, renaming, dropping, and modifying views            

·      Understanding stored procedures and their key benefits 

·      Working with stored procedures               

·      Studying user-defined functions              

·      Error handling

·      Practical Exercise

Live Lecture

·      User-defined functions                 

·      Types of UDFs, such as scalar                  

·      Inline table value               

·      Multi-statement table                    

·      Stored procedures and when to deploy them       

·      What is rank function?                  

·      Triggers, and when to execute triggers?   

·      Practical Exercise

Live Lecture

·      SQL Server Management Studio              

·      Using pivot in MS Excel and MS SQL Server     

·      Differentiating between Char, Varchar, and NVarchar    

·      XL path, indexes and their creation                      

·      Records grouping, advantages, searching, sorting, modifying data                     

·      Clustered indexes creation            

·      Use of indexes to cover queries                

·      Common table expressions            

·      Index guidelines

·      Practical Exercise

Live Lecture

·      Creating Transact-SQL queries                 

·      Querying multiple tables using joins                     

·      Implementing functions and aggregating data     

·      Modifying data                 

·      Determining the results of DDL statements on supplied tables and data            

·      Constructing DML statements using the output statement

·      Practical Exercise

Live Lecture

·      Querying data using subqueries and APPLY       

·      Querying data using table expressions                  

·      Grouping and pivoting data using queries

·      Querying temporal data and non-relational data

·      Constructing recursive table expressions to meet business requirements              

·      Using windowing functions to group                   

·      Rank the results of a query           

·      Practical Exercise

Live Lecture

·      Creating database programmability objects by using T-SQL       

·      Implementing error handling and transactions

·      Implementing transaction control in conjunction with error handling      

·      Implementing data types and NULL

·      Practical Exercise

Live Lecture

·      Designing and implementing relational database schema 

·      Designing and implementing indexes                   

·      Learning to compare between indexed and included columns                 

·      Implementing clustered index                   

·      Designing and deploying views                

·      Column store views           

·      Practical Exercise

Live Lecture

·      Explaining foreign key constraints            

·      Using T-SQL statements               

·      Usage of Data Manipulation Language (DML)

·      Designing the components of stored procedures

·      Implementing input and output parameters          

·      Applying error handling                

·      Executing control logic in stored procedures        

·      Designing trigger logic, DDL triggers

·      Practical Exercise

Live Lecture

·      Applying transactions                   

·      Using the transaction behavior to identify DML statements        

·      Learning about implicit and explicit transactions

·      Isolation levels management                     

·      Understanding concurrency and locking behavior

·      Using memory-optimized tables   

·      Practical Exercise

Live Lecture

·      Accuracy of statistics                    

·      Formulating statistics maintenance tasks  

·      Dynamic management objects management         

·      Identifying missing indexes                      

·      Examining and troubleshooting query plans         

·      Consolidating the overlapping indexes                 

·      The performance management of database instances

·      SQL server performance monitoring

·      Practical Exercise

Live Lecture

·      Correlated Subquery, Grouping Sets, Rollup, Cube

·      Implementing Correlated Subqueries                    

·      Using EXISTS with a Correlated subquery          

·      Using Union Query                       

·      Using Grouping Set Query                       

·      Using Rollup                     

·      Using CUBE to generate four grouping sets        

·      Perform a partial CUBE

·      Practical Exercise  

Fees

Offline Training @ Vadodara

  • Classroom Based Training
  • Practical Based Training
  • No Cost EMI Option
45000 40000

Online Training preferred

  • Live Virtual Classroom Training
  • 1:1 Doubt Resolution Sessions
  • Recorded Live Lectures*
  • Flexible Schedule
40000 35000

Corporate Training

  • Customized Learning
  • Onsite Based Corporate Training
  • Online Corporate Training
  • Certified Corporate Training

Certification

  • Upon the completion of the Classroom training, you will have an Offline exam that will help you prepare for the Professional certification exam and score top marks. The BIT Certification is awarded upon successfully completing an offline exam after reviewed by experts
  • Upon the completion of the training, you will have an online exam that will help you prepare for the Professional certification exam and score top marks. BIT Certification is awarded upon successfully completing an online exam after reviewed by experts.
  • This course is designed to clear the following Microsoft SQL Server Database Development 2016 certifications: Exam 70-761: Querying Data with Transact-SQL & Exam 70-762: Developing SQL Databases