Become an SQL Data Engineer/Data Analyst
https://DevCourseWeb.com
Published 6/2023
Created by Bluelime Learning Solutions
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 144 Lectures ( 8h 27m ) | Size: 2.13 GB
Mastering Data: Unleashing the Power of SQL for Future Data Analysts and Engineers
What you'll 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.
Requirements
Basic Computer Literacy: Students should be comfortable using a computer, including file management and installing software.
Fundamental Math Skills: Familiarity with basic high school level mathematics is helpful, especially in areas such as statistics, since this course involves understanding and performing data analyses.
Basic Programming Knowledge: While not a strict prerequisite, having a general understanding of programming concepts like variables, loops, and functions can make learning SQL more accessible.
Understanding of Database Concepts: A basic understanding of databases, tables, and relationships is helpful but not required. The course will cover these topics in the early modules.
Software Requirements: Students will need to have a computer with internet access. Certain modules may require the installation of free database software (guidance will be provided during the course).
Motivation and Willingness to Learn: Above all, students should have an eagerness to learn new concepts and the commitment to practice and apply those skills through exercises and a capstone project.
Please note that this course is designed to accommodate students with varying levels of previous experience, and it covers all necessary foundational topics. Hence, anyone with a keen interest in data engineering and data analysis can benefit from the course, regardless of their background.
