Become an SQL Data Engineer/Data Analyst

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

Created by: Bluelime Learning Solutions
Making Learning Simple

What Will I 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.

Target audience

• 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.