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دسته بندی دوره ها

Become an SQL Data Engineer/Data Analyst

سرفصل های دوره

Mastering Data: Unleashing the Power of SQL for Future Data Analysts and Engineers


1. Introduction to Data Analysis and Data Engineering
  • 1. Introduction.html
  • 2. Definition and Roles of a Data Analyst and Data Engineer.html
  • 3. Importance of SQL in Data Analysis and Data Engineering.html
  • 4. Introduction to Databases and SQL.html
  • 5. SQL Databases MS SQL, MySQL, PostgreSQL, Oracle SQL.html
  • 6. Basic Database Concepts.html

  • 2. Relational Databases Setup
  • 1. Note on database downloads.html
  • 2. SQL Server Editions
  • 3. Download MS SQL Server
  • 4. Install MS SQL Server
  • 5. Install SQL Server Management Studio - SSMS
  • 6. Connect SSMS to MS SQL Server
  • 7. Restore sample database to MS SQL Server
  • 8. MySQL Database Server Installation on Windows
  • 9. MySQL Database Server Installation on Mac
  • 10. Introduction to MySQL Workbench
  • 11. Installing MySQL Workbench on Mac
  • 12. Installing PostgreSQL on Windows
  • 13. Installing PostgreSQL on Mac
  • 14. Installing PgAdmin for PostgreSQL on Mac
  • 15. Connect PgAdmin to PostgreSQL Database Server
  • 16. Restore sample database to PostgreSQL Database Server
  • 17. Download Oracle Database Server
  • 18. Install Oracle Database Server
  • 19. What is SQLPlus
  • 20. Connect SQLPLus to Oracle
  • 21. Create a new database user in Oracle with SQLPlus
  • 22. Create a new table in Oracle with SQLPlus
  • 23. What is Oracle SQL Developer
  • 24. Download Oracle SQL Developer
  • 25. Connect SQL Developer to Oracle
  • 26. What are Schemas.html
  • 27. Download Sample Oracle Schemas
  • 28. Unlock sample hr schema account
  • 29. Connect sample schema account to Oracle
  • 30. Unlock sample schema tables

  • 3. SQL Fundamentals
  • 1. SQL Syntax.html
  • 2. SQL Data Types.html
  • 3. SQL Data Types Operations.html
  • 4. SQL Operators.html
  • 5. SQL Expressions.html

  • 4. SQL Syntax - Performing CRUD Operations
  • 1. What is CRUD.html
  • 2. Create a database in multiple systems
  • 3. Examples of CRUD in multiple systems.html
  • 4. What is T-SQL
  • 5. Creating a database object
  • 6. Creating a table object
  • 7. Perform a Create Operation ( Inserting Data)
  • 8. Perform a Read Operation
  • 9. Perform Update Operation
  • 10. Perform a Delete Operation

  • 5. Manipulating Data with SQL Functions
  • 1. Introduction.html
  • 2. STRING Functions.html
  • 3. CONCAT() Function
  • 4. CHARACTER LENGTH Function
  • 5. Examples of using String Functions.html
  • 6. Conversion Functions.html
  • 7. Examples of conversion functions.html
  • 8. Date Functions.html
  • 9. Examples of using Date Functions.html
  • 10. T-SQL CASE Expression
  • 11. T-SQL SUBSTRING Function
  • 12. T-SQL CONVERT Function
  • 13. T-SQL CAST Function

  • 6. SQL Joins and Subqueries
  • 1. SQL Joins.html
  • 2. LEFT JOIN
  • 3. INNER JOIN
  • 4. RIGHT JOIN
  • 5. SELF JOIN
  • 6. What is a Subquery
  • 7. Nested subqueries
  • 8. SQL Views
  • 9. Query Views
  • 10. SQL Indexes.html
  • 11. SQL Constraints.html

  • 7. Working with Data in SQL
  • 1. Data Cleaning in SQL.html
  • 2. SQL Data Cleaning Examples.html
  • 3. Importing and Exporting Data.html
  • 4. Backing Up and Restoring Databases.html
  • 5. Backup MySQL Databases
  • 6. Restore MySQL Databases
  • 7. Transaction Control COMMIT, ROLLBACK, SAVEPOINT.html

  • 8. Data Analysis and Descriptive Statistics in SQL
  • 1. Introduction to Descriptive Statistics in SQL.html
  • 2. Aggregate Functions.html
  • 3. COUNT() Aggregate Function
  • 4. SUM() Aggregate Function
  • 5. AVG () Aggregate Function
  • 6. MIN() Aggregate Function
  • 7. MAX() Aggregate Function
  • 8. Group By, Having, and Order By Clauses.html
  • 9. Advanced SQL techniques for data analysis PIVOT, UNPIVOT, CUBE, ROLLUP, etc..html

  • 9. Data Analysis using SQL window and Analytic functions
  • 1. Introduction to Windows Functions.html
  • 2. Introduction to Analytic Functions
  • 3. Introduction to Ranking Functions
  • 4. Basic Syntax for Analytic Functions
  • 5. Note.html
  • 6. RANK() Function
  • 7. DENSE RANK() Function
  • 8. ROW NUMBER() Function
  • 9. LAG() Function
  • 10. LEAD() Function
  • 11. FIRST VALUE() Function
  • 12. LAST VALUE() Function
  • 13. NTH VALUE() Function
  • 14. Using Multiple Ranking Functions

  • 10. SQL for Data Engineering
  • 1. Designing and Building Databases.html
  • 2. Data modeling.html
  • 3. Database Design Principles.html
  • 4. SQL Data Definition Language (DDL).html
  • 5. Designing Tables and Relationships.html
  • 6. Indexing for Performance.html
  • 7. Building a Database.html
  • 8. SQL for ETL (Extract, Transform, Load) Processes.html
  • 9. Normalization and denormalization.html
  • 10. Handling Large Datasets Partitioning, Sharding, Indexing Strategies.html
  • 11. Partitioning, Sharding, Indexing Strategies.html

  • 11. Working with NoSQL
  • 1. Introduction to NoSQL databases.html
  • 2. Difference between SQL and NoSQL.html
  • 3. SQL-like Queries in NoSQL (e.g., MongoDB Query Language).html

  • 12. Introduction to Big Data Technologies
  • 1. Introduction to Hadoop and Spark.html
  • 2. SQL with Big Data Hive and SparkSQL.html
  • 3. Real-time processing with Stream SQL.html

  • 13. Introduction to Data Visualization
  • 1. Basics of Data Visualization.html
  • 2. Tableau Public Desktop
  • 3.1 World Bank_CO2.xlsx
  • 3. Tableau Public Desktop Overview Part 1
  • 4. Tableau Public Desktop Overview Part 2
  • 5. Tableau Online
  • 6. Tableau Data Sources
  • 7. What is Power BI Desktop
  • 8. Install Power BI Desktop
  • 9. Explore Power BI Desktop Interface
  • 10. SQL with Data Visualization Tools Tableau, PowerBI.html

  • 14. SQL Best Practices Performance Optimization Triggers Stored Procedures
  • 1. SQL Best Practices and Performance Optimization.html
  • 2. SQL best practices and performance optimization examples with Oracle Database.html
  • 3. SQL Security Best Practices.html
  • 4. Introduction to triggers using PostgreSQL Database
  • 5. Creating your first trigger - part 1
  • 6. Creating your first trigger - part 2
  • 7. Creating your first trigger - part 3
  • 8. Managing triggers
  • 9. Stored Procedures.html

  • 15. Capstone Project
  • 1. Real-world data engineering and data analysis project using SQL.html
  • 2. Project Approach (High-level overview.).html
  • 3. Project Steps.html
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    تاریخ انتشار: 25 تیر 1402
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