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Autor Tópico: Master SQL and Databases in 30 Days: A Complete Guide  (Lida 4 vezes)

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Master SQL and Databases in 30 Days: A Complete Guide


Last updated 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 25m | Size: 2.63 GB

Learn SQL and Database Management from Scratch: Master Queries, Data Analysis, and Optimization in Just 30 Days


What you'll learn
Master SQL Fundamentals: Students will gain a comprehensive understanding of SQL syntax and commands for querying, manipulating, and managing data.
Create and Manage Databases: Learners will acquire the skills to design, create, and manage databases and tables, while establishing relationships between table
Perform Complex Queries and Data Analysis: Students will be able to execute advanced SQL queries to analyze and retrieve valuable insights from data.
Conduct Efficient Data Analysis Using SQL: Students will learn to apply SQL for data analysis including different techniques techniques for real-world business.
Students will understand how to optimize SQL queries, implement indexes, and improve database performance for large-scale data analysis tasks.
Requirements
No prior experience required: This course is designed for beginners with no previous knowledge of SQL or databases.
Access to a computer: A laptop or desktop computer with an internet connection is required to install MySQL and complete hands-on exercises.
Eagerness to learn: A willingness to practice and engage with the material to build SQL and database management skills.
Description
Unlock the power of data with our comprehensive 30-day course designed to take you from beginner to proficient in SQL and database management. In today's data-driven world, the ability to analyze and interpret data is a crucial skill across various industries. Whether you're an aspiring data analyst, developer, or business professional, this course will equip you with the essential skills needed to manipulate, analyze, and optimize data effectively.What You'll Learn:Over the course of 30 engaging days, you will embark on a journey through the following key topics:Learn SQL Fundamentals: Begin your journey by understanding the core principles of SQL (Structured Query Language) and how it serves as the backbone of relational databases. You'll learn to write basic commands that allow you to interact with databases seamlessly.Create and Manage Databases: Gain hands-on experience in designing, creating, and managing databases and tables. You will learn to establish relationships between tables, ensuring data integrity and optimizing storage for future queries.Execute Complex Queries: Dive into advanced SQL techniques that will enable you to perform complex queries. You'll learn how to utilize joins, subqueries, and aggregate functions to extract valuable insights from datasets, empowering you to make data-driven decisions.Analyze Data Effectively: Discover powerful data analysis techniques using SQL. We will cover window functions, common table expressions (CTEs), and pivot/unpivot operations, allowing you to analyze and interpret data trends and patterns more effectively.Optimize Performance: Learn how to optimize your SQL queries and manage database performance. You'll understand indexing strategies, query tuning, and best practices to ensure efficiency in handling large datasets, which is vital for maintaining responsive applications and systems.Course Structure:This course features a well-structured mix of theoretical knowledge and practical exercises. Each day is dedicated to a specific topic, including hands-on projects and real-world scenarios that reinforce your learning. By the end of the course, you will not only understand the theoretical aspects of SQL and databases but also possess the practical skills necessary to apply this knowledge in real-world situations.Who This Course Is For:Beginners looking to learn SQL: If you're new to SQL or databases and want to build foundational knowledge, this course will guide you step-by-step, ensuring you grasp the essentials.Aspiring data analysts: This course is perfect for anyone interested in data analysis. You will learn how to query, analyze, and extract insights from databases, which is essential for roles in data analytics.Developers and IT professionals: Those looking to enhance their database management skills or integrate SQL into their development toolkit will find immense value in this course. You'll gain practical skills that can be applied in various programming contexts.Business professionals: Managers, analysts, and decision-makers who want to leverage data in their roles will gain practical SQL skills to analyze business data, identify trends, and make informed decisions.No Prerequisites Required:No prior experience with SQL or databases is necessary to enroll in this course. We believe that anyone with basic computer skills and a willingness to learn can master these concepts. All you need is a computer with internet access, and you're ready to start your journey.Join us today and take the first step towards mastering SQL and databases in just 30 days! By the end of this course, you'll be confident in your ability to work with SQL and databases, setting you on the path to a successful career in data analysis or database management. Don't miss this opportunity to enhance your skills and advance your career in the data-driven landscape!
Who this course is for
Beginners looking to learn SQL: If you're new to SQL or databases and want to build foundational knowledge, this course will guide you step-by-step.
Aspiring data analysts: Anyone interested in data analysis will learn how to query, analyze, and extract insights from databases using SQL.
Developers and IT professionals: Those looking to enhance their database management skills or integrate SQL into their development toolkit will benefit from this course.
Business professionals: Managers, analysts, and decision-makers who want to leverage data in their roles will gain practical SQL skills to analyze business data.
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https://www.udemy.com/course/master-sql-and-databases-in-30-days/
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