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Become an SQL Data Engineer/Data Analyst

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Become an SQL Data Engineer/Data Analyst, available at $49.99, has an average rating of 4.38, with 144 lectures, based on 8 reviews, and has 1062 subscribers.

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You will learn about Understand the roles and responsibilities of data analysts and data engineers. Identify and use different types of SQL databases including MS SQL, MySQL, PostgreSQL, and Oracle SQL. Write basic to complex SQL queries using various SQL syntax, operators, and functions. Understand and implement data cleaning, , backup, and restoration in SQL. Perform data analysis tasks using SQL, such as computing descriptive statistics and utilizing various functions and techniques for manipulating data. Understand the principles of data engineering using SQL, including designing databases, handling ETL processes, and managing large datasets. Implement SQL-like queries in NoSQL databases. Understand the basics of Big Data technologies and how SQL interfaces with these tools. Use SQL in conjunction with popular data visualization tools such as Tableau and PowerBI. Apply SQL best practices and performance optimization strategies in real-world situations. Gain a strong foundation in SQL, setting the stage for further learning and specialization in the fields of data analysis and data engineering. This course is ideal for individuals who are Aspiring Data Analysts and Data Engineers: Individuals aiming to start their career in the field of data analysis or data engineering will find this course particularly beneficial. It provides foundational and advanced knowledge of SQL, which is a crucial skill in these professions. or Current IT Professionals: IT professionals who are currently in different roles (like software development, system analysis, or project management) and wish to transition into data-oriented roles would find this course a strong stepping stone. or Data Science Enthusiasts: People interested in data science can use this course as a pathway to further learning. Understanding SQL and how databases work is often a key skillset for data scientists. or Business Analysts and Managers: Professionals who deal with data regularly and need to extract insights from databases will gain significantly from this course. Being able to write SQL queries and perform data analysis independently can be a great asset in decision-making roles. or Students Studying Computer Science or Related Fields: Students in undergraduate or graduate programs related to computer science, information systems, or data analysis could use this course to complement their academic knowledge and gain practical, industry-relevant skills. or Anyone Interested in Data: In today's world, data skills are highly valuable across various fields. Anyone with a curiosity about data and how it drives decision-making would benefit from understanding SQL and its applications. It is particularly useful for Aspiring Data Analysts and Data Engineers: Individuals aiming to start their career in the field of data analysis or data engineering will find this course particularly beneficial. It provides foundational and advanced knowledge of SQL, which is a crucial skill in these professions. or Current IT Professionals: IT professionals who are currently in different roles (like software development, system analysis, or project management) and wish to transition into data-oriented roles would find this course a strong stepping stone. or Data Science Enthusiasts: People interested in data science can use this course as a pathway to further learning. Understanding SQL and how databases work is often a key skillset for data scientists. or Business Analysts and Managers: Professionals who deal with data regularly and need to extract insights from databases will gain significantly from this course. Being able to write SQL queries and perform data analysis independently can be a great asset in decision-making roles. or Students Studying Computer Science or Related Fields: Students in undergraduate or graduate programs related to computer science, information systems, or data analysis could use this course to complement their academic knowledge and gain practical, industry-relevant skills. or Anyone Interested in Data: In today's world, data skills are highly valuable across various fields. Anyone with a curiosity about data and how it drives decision-making would benefit from understanding SQL and its applications.

Enroll now: Become an SQL Data Engineer/Data Analyst

Summary

Title: Become an SQL Data Engineer/Data Analyst

Price: $49.99

Average Rating: 4.38

Number of Lectures: 144

Number of Published Lectures: 144

Number of Curriculum Items: 144

Number of Published Curriculum Objects: 144

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the roles and responsibilities of data analysts and data engineers.
  • Identify and use different types of SQL databases including MS SQL, MySQL, PostgreSQL, and Oracle SQL.
  • Write basic to complex SQL queries using various SQL syntax, operators, and functions.
  • Understand and implement data cleaning, , backup, and restoration in SQL.
  • Perform data analysis tasks using SQL, such as computing descriptive statistics and utilizing various functions and techniques for manipulating data.
  • Understand the principles of data engineering using SQL, including designing databases, handling ETL processes, and managing large datasets.
  • Implement SQL-like queries in NoSQL databases.
  • Understand the basics of Big Data technologies and how SQL interfaces with these tools.
  • Use SQL in conjunction with popular data visualization tools such as Tableau and PowerBI.
  • Apply SQL best practices and performance optimization strategies in real-world situations.
  • Gain a strong foundation in SQL, setting the stage for further learning and specialization in the fields of data analysis and data engineering.

Who Should Attend

  • Aspiring Data Analysts and Data Engineers: Individuals aiming to start their career in the field of data analysis or data engineering will find this course particularly beneficial. It provides foundational and advanced knowledge of SQL, which is a crucial skill in these professions.
  • Current IT Professionals: IT professionals who are currently in different roles (like software development, system analysis, or project management) and wish to transition into data-oriented roles would find this course a strong stepping stone.
  • Data Science Enthusiasts: People interested in data science can use this course as a pathway to further learning. Understanding SQL and how databases work is often a key skillset for data scientists.
  • Business Analysts and Managers: Professionals who deal with data regularly and need to extract insights from databases will gain significantly from this course. Being able to write SQL queries and perform data analysis independently can be a great asset in decision-making roles.
  • Students Studying Computer Science or Related Fields: Students in undergraduate or graduate programs related to computer science, information systems, or data analysis could use this course to complement their academic knowledge and gain practical, industry-relevant skills.
  • Anyone Interested in Data: In today's world, data skills are highly valuable across various fields. Anyone with a curiosity about data and how it drives decision-making would benefit from understanding SQL and its applications.

Target Audiences

  • Aspiring Data Analysts and Data Engineers: Individuals aiming to start their career in the field of data analysis or data engineering will find this course particularly beneficial. It provides foundational and advanced knowledge of SQL, which is a crucial skill in these professions.
  • Current IT Professionals: IT professionals who are currently in different roles (like software development, system analysis, or project management) and wish to transition into data-oriented roles would find this course a strong stepping stone.
  • Data Science Enthusiasts: People interested in data science can use this course as a pathway to further learning. Understanding SQL and how databases work is often a key skillset for data scientists.
  • Business Analysts and Managers: Professionals who deal with data regularly and need to extract insights from databases will gain significantly from this course. Being able to write SQL queries and perform data analysis independently can be a great asset in decision-making roles.
  • Students Studying Computer Science or Related Fields: Students in undergraduate or graduate programs related to computer science, information systems, or data analysis could use this course to complement their academic knowledge and gain practical, industry-relevant skills.
  • Anyone Interested in Data: In today's world, data skills are highly valuable across various fields. Anyone with a curiosity about data and how it drives decision-making would benefit from understanding SQL and its applications.

The SQL Data Engineer/Data Analyst course is a comprehensive learning experience that equips students with the skills to leverage SQL’s powerful features in real-world data engineering and data analysis scenarios. This course offers an in-depth exploration of SQL, extending from the basics to advanced concepts, and including essential topics like NoSQL, Big Data technologies, and data visualization.

This course begins by introducing students to the roles and responsibilities of data analysts and data engineers, emphasizing the significance of SQL in these professions. It familiarizes students with a variety of SQL databases such as MS SQL, MySQL, PostgreSQL, and Oracle SQL. Gradually, we delve into the fundamentals of SQL, including its syntax, data types, operators, and expressions, and the common SQL statements used to manipulate data in databases.

We then advance to more complex SQL concepts like functions, joins, subqueries, views, indexes, and constraints. Students will have an opportunity to master the art of writing sophisticated SQL queries, and manage databases effectively. This includes learning essential data cleaning techniques and understanding the import and export of data, as well as backup and restoration of databases.

The course also places a special focus on using SQL for data analysis. It covers topics like descriptive statistics, group by, having and order by clauses, window functions, and other advanced SQL techniques used in data analysis. Simultaneously, it sheds light on using SQL for data engineering tasks, such as designing databases, handling ETL processes, and managing large datasets.

Moreover, the curriculum explores SQL-like queries in NoSQL databases, helping students gain a broader understanding of the data ecosystem. It provides an introduction to Big Data technologies like Hadoop and Spark and shows how SQL interfaces with these tools. As visualization is crucial in data analysis, the course outlines how to use SQL with popular data visualization tools like Tableau and PowerBI.

Finally, students learn SQL best practices and performance optimization strategies, ensuring that they not only write functional SQL queries but also write efficient and secure ones.

The culmination of the course is a capstone project, which allows students to apply their acquired knowledge and skills to a real-world data problem, demonstrating their proficiency in using SQL for data engineering and data analysis.

This course is designed for anyone looking to upskill in the field of data analysis and data engineering. With a blend of theoretical lessons, practical exercises, and quizzes, students will gain hands-on experience and in-depth knowledge of SQL, enabling them to succeed in their professional careers.

Course Curriculum

Chapter 1: Introduction to Data Analysis and Data Engineering

Lecture 1: Introduction

Lecture 2: Definition and Roles of a Data Analyst and Data Engineer

Lecture 3: Importance of SQL in Data Analysis and Data Engineering

Lecture 4: Introduction to Databases and SQL

Lecture 5: SQL Databases: MS SQL, MySQL, PostgreSQL, Oracle SQL

Lecture 6: Basic Database Concepts

Chapter 2: Relational Databases Setup

Lecture 1: Note on database downloads

Lecture 2: SQL Server Editions

Lecture 3: Download MS SQL Server

Lecture 4: Install MS SQL Server

Lecture 5: Install SQL Server Management Studio – SSMS

Lecture 6: Connect SSMS to MS SQL Server

Lecture 7: Restore sample database to MS SQL Server

Lecture 8: MySQL Database Server Installation on Windows

Lecture 9: MySQL Database Server Installation on Mac

Lecture 10: Introduction to MySQL Workbench

Lecture 11: Installing MySQL Workbench on Mac

Lecture 12: Installing PostgreSQL on Windows

Lecture 13: Installing PostgreSQL on Mac

Lecture 14: Installing PgAdmin for PostgreSQL on Mac

Lecture 15: Connect PgAdmin to PostgreSQL Database Server

Lecture 16: Restore sample database to PostgreSQL Database Server

Lecture 17: Download Oracle Database Server

Lecture 18: Install Oracle Database Server

Lecture 19: What is SQLPlus

Lecture 20: Connect SQLPLus to Oracle

Lecture 21: Create a new database user in Oracle with SQLPlus

Lecture 22: Create a new table in Oracle with SQLPlus

Lecture 23: What is Oracle SQL Developer

Lecture 24: Download Oracle SQL Developer

Lecture 25: Connect SQL Developer to Oracle

Lecture 26: What are Schemas

Lecture 27: Download Sample Oracle Schemas

Lecture 28: Unlock sample hr schema account

Lecture 29: Connect sample schema account to Oracle

Lecture 30: Unlock sample schema tables

Chapter 3: SQL Fundamentals

Lecture 1: SQL Syntax

Lecture 2: SQL Data Types

Lecture 3: SQL Data Types Operations

Lecture 4: SQL Operators

Lecture 5: SQL Expressions

Chapter 4: SQL Syntax – Performing CRUD Operations

Lecture 1: What is CRUD

Lecture 2: Create a database in multiple systems

Lecture 3: Examples of CRUD in multiple systems

Lecture 4: What is T-SQL

Lecture 5: Creating a database object

Lecture 6: Creating a table object

Lecture 7: Perform a Create Operation ( Inserting Data)

Lecture 8: Perform a Read Operation

Lecture 9: Perform Update Operation

Lecture 10: Perform a Delete Operation

Chapter 5: Manipulating Data with SQL Functions

Lecture 1: Introduction

Lecture 2: STRING Functions

Lecture 3: CONCAT() Function

Lecture 4: CHARACTER LENGTH Function

Lecture 5: Examples of using String Functions

Lecture 6: Conversion Functions

Lecture 7: Examples of conversion functions

Lecture 8: Date Functions

Lecture 9: Examples of using Date Functions

Lecture 10: T-SQL CASE Expression

Lecture 11: T-SQL SUBSTRING Function

Lecture 12: T-SQL CONVERT Function

Lecture 13: T-SQL CAST Function

Chapter 6: SQL Joins and Subqueries

Lecture 1: SQL Joins

Lecture 2: LEFT JOIN

Lecture 3: INNER JOIN

Lecture 4: RIGHT JOIN

Lecture 5: SELF JOIN

Lecture 6: What is a Subquery

Lecture 7: Nested subqueries

Lecture 8: SQL Views

Lecture 9: Query Views

Lecture 10: SQL Indexes

Lecture 11: SQL Constraints

Chapter 7: Working with Data in SQL

Lecture 1: Data Cleaning in SQL

Lecture 2: SQL Data Cleaning Examples

Lecture 3: Importing and Exporting Data

Lecture 4: Backing Up and Restoring Databases

Lecture 5: Backup MySQL Databases

Lecture 6: Restore MySQL Databases

Lecture 7: Transaction Control: COMMIT, ROLLBACK, SAVEPOINT

Chapter 8: Data Analysis and Descriptive Statistics in SQL

Lecture 1: Introduction to Descriptive Statistics in SQL

Lecture 2: Aggregate Functions

Lecture 3: COUNT() Aggregate Function

Lecture 4: SUM() Aggregate Function

Lecture 5: AVG () Aggregate Function

Lecture 6: MIN() Aggregate Function

Lecture 7: MAX() Aggregate Function

Lecture 8: Group By, Having, and Order By Clauses

Lecture 9: Advanced SQL techniques for data analysis: PIVOT, UNPIVOT, CUBE, ROLLUP, etc.

Chapter 9: Data Analysis using: SQL window and Analytic functions

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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