SQL Mastery for Developers Basics to Advanced Applications

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Free Download SQL Mastery for Developers Basics to Advanced Applications
Published 7/2024
Created by RPATech - Automating Intelligence,Asmita Pathak
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 0m ) | Size: 693 MB

Forge ahead in SQL mastery, seamlessly blending theory and practice, minus the DB admin detour!
What you'll learn:
Gain a solid understanding of SQL basics, querying databases using SELECT, filtering, sorting data, functions, operators.
Learn advanced SQL querying techniques such as subqueries, joins, unions, and nested queries to manipulate and retrieve data.
Understand database design principles and optimization techniques, including indexing and normalization.
Apply SQL skills in real-world scenarios, including data analysis, reporting, and integration with programming languages like Python.
Leverage SQL skills in practical applications and integration with JavaScript to elevate your development projects.
Grasp the principles of database design, encompassing techniques like denormalization.
Requirements:
Basic Programming Knowledge: Learners should have a basic understanding of programming concepts, preferably in languages such as Python or JavaScript.
Familiarity with Data Concepts: A basic understanding of data concepts such as tables, rows, columns, and relationships will be helpful.
Access to a Stable Internet Connectivity: Learners should have access to a computer with Internet connectivity to access course materials and complete exercises.
SQL Database Software: It would be beneficial to have access to SQL database software for hands-on practice. Free options like MySQL or SQLite can be used.
Description:
Welcome to the "SQL Mastery for Developers: Basics to Advanced Applications" course! This engaging program is specifically designed for developers proficient in Python or JavaScript who are eager to enhance their SQL skills without delving deeply into database management complexities.Our experienced instructors will guide you through essential SQL concepts, beginning with foundational topics such as querying, filtering, and aggregating data. As you progress, you'll explore more advanced applications, including joins, subqueries, and database normalization, ensuring a well-rounded understanding of SQL.Each lesson is thoughtfully crafted to be interactive, blending theoretical knowledge with hands-on exercises that allow you to apply what you've learned immediately. You'll have the opportunity to work on real-world projects, reinforcing your learning while tackling common challenges that arise in development.Moreover, you'll gain valuable insights into best practices for writing efficient SQL queries, optimizing database performance, and ensuring data integrity and security. This knowledge will not only enhance your technical skills but also empower you to make informed decisions when designing and interacting with databases.By the end of this course, you will have a solid grasp of SQL, enabling you to confidently integrate database interactions into your applications. Whether you're building dynamic web apps, developing data-driven services, or creating robust backend solutions, this course will equip you with the SQL expertise needed to excel in your development career. Join us now to unlock the full potential of your programming skills and elevate your projects to new heights!
Who this course is for:
This course is designed for developers with a background in programming languages such as Python or JavaScript who want to enhance their SQL skills from beginner to advanced levels.
Professionals aiming to improve their skills in querying databases and deriving actionable insights from data.
Individuals responsible for managing database systems who want to deepen their understanding of database management and optimization.
Professionals focusing on data manipulation and transformation who require advanced SQL skills.
Individuals who need to understand data structures and improve data querying capabilities for reporting and decision-making.
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