Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00
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Course Curriculum Course Introduction Introduction 00:04:00 Course Curriculum overview 00:04:00 Overview of Databases 00:08:00 SQL Environment Setup PostgreSQL Installation 00:13:00 Connecting to PostgreSQL using psql 00:04:00 Connecting to PostgreSQL using PgAdmin 00:07:00 Creating Database and Tables Basic of Database and Tables 00:06:00 Data Types 00:07:00 Primary Keys and Foreign Keys 00:04:00 Create Table in SQL Script 00:17:00 Insert 00:05:00 Update 00:05:00 Delete 00:03:00 Alter Table 00:05:00 Drop Table 00:02:00 Check Constraint 00:12:00 NOT NULL Constraint 00:04:00 UNIQUE Constraint 00:06:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:07:00 SELECT Statement 00:12:00 SELECT DISTINCT 00:10:00 Column AS Statement 00:07:00 COUNT 00:07:00 SELECT WHERE Clause - One 00:06:00 SELECT WHERE Clause - Two 00:11:00 ORDER 00:05:00 LIMIT 00:04:00 BETWEEN keyword usage on real time 00:08:00 IN Operator 00:06:00 LIKE and ILIKE 00:10:00 GROUP BY Statements Overview of GROUP BY 00:03:00 Aggregation Function 00:12:00 GROUP BY - One 00:05:00 GROUP BY - Two 00:06:00 HAVING on SQL Statement 00:04:00 JOINS Overview of JOINS 00:07:00 Introduction to JOINS 00:06:00 AS Statement table 00:05:00 INNER Joins 00:14:00 Full Outer Joins 00:04:00 Left Outer join 00:03:00 Right Outer Join 00:05:00 Union 00:05:00 Advanced SQL Commands Basic of Advanced SQL Commands 00:04:00 Timestamps 00:17:00 Extract from Timestamp 00:05:00 Mathematical Functions 00:06:00 String Functions 00:16:00 SubQuery 00:08:00 Databases and Tables Overview of Databases and Tables 00:02:00 Creating a Database backup 00:03:00 Restoring a Database from backup 00:04:00 Mock Exam Mock Exam - The Complete SQL from Scratch: Bootcamp 00:20:00 Final Exam Final Exam - The Complete SQL from Scratch: Bootcamp 00:20:00
Supporting Microsoft SQL server course description A concise hands on course enabling delegates to manage and administer a Microsoft SQL server database. What will you learn Install SQL server. Backup SQL server databases. Recover SQL server databases. Secure SQL server databases. Perform routine maintenance. Automate tasks. Supporting Microsoft SQL server course details Who will benefit: Anyone working with Microsoft SQL server Prerequisites: Supporting Windows server. Duration 3 days Supporting Microsoft SQL server course contents SQL server introduction Platform, Tools, services. Installation. Creating databases. Backups Back up types, transaction logging, restoring from a backup: Full database, individual files. Security Users, server roles, database roles. Permissions. Monitoring Routine database maintenance. Performance data. Jobs and alerts The SQL server agent, database mail, alerts, jobs.
Administering Microsoft SQL Server course description This course provides students with the knowledge and skills to maintain a Microsoft SQL Server database. The course focuses on how to use SQL Server 2016 product features and tools related to maintaining a database. Note: This course is designed for customers who are interested in learning SQL Server 2014 or SQL Server 2016. It covers the new features in SQL Server 2016, but also the important capabilities across the SQL Server data platform. What will you learn Describe core database administration tasks and tools. Configure SQL Server databases and storage. Import and export data. Monitor SQL Server. Trace SQL Server activity. Manage SQL Server security. Audit data access and encrypt data. Administering Microsoft SQL Server course details Who will benefit: Individuals who work with SQL Server databases. Individuals who develop applications that deliver content from SQL Server databases. Prerequisites: Introduction to data communications & networking. Duration 3 days Administering Microsoft SQL Server course contents Introduction to SQL Server administration Database administration, SQL Server platform, database management tools and techniques. Hands on SQL Server Management Studio, sqlcmd Windows PowerShell with SQL Server. Working with databases and storage Data storage with SQL Server, managing storage for system databases, managing storage for user databases, moving database files, configuring the buffer pool extension. Hands on Configuring tempdb storage, creating databases, attaching a database. Importing and exporting data Transferring data, importing and exporting table data, copying or moving a database. Hands on import and export wizard, bcp utility, BULK INSERT statement, OPENROWSET function. Monitoring SQL Server 2014 Monitoring SQL Server, dynamic management views and functions, performance monitor. Hands on Baseline metrics, monitoring a workload. Tracing SQL Server activity Tracing workload activity, using traces. Hands on Capturing a trace in SQL Server profiler, generating tuning recommendations. Managing SQL Server security SQL Server security, server-level security, database-level principals, database permissions. Hands on SQL Server security. Testing access.
Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.
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This course introduces you to SQL and Microsoft SQL Server in a practical way. You'll be able to learn the basics of SQL quickly and understand how to use SQL queries and statements with Microsoft SQL Server to extract data and analyze it for making productive marketing decisions.