SQL Level 2: Advanced Data Querying and Management

18 Hours

Advanced

7 Modules

LE 4,999.00
LE 7,000.00
LE 4,999.00
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This advanced SQL course is designed for individuals who have a foundational understanding of SQL and are looking to expand their skills in data querying, extraction, and management. Focusing on the extensive use of DDL (Data Definition Language) and DML (Data Manipulation Language) statements, this course covers advanced SQL techniques to retrieve, manipulate, and manage data across multiple tables, supporting real-world data analysis and reporting tasks. The course begins with a quick recap of SQL basics, before diving into complex data filtering, sorting, and formatting using advanced SELECT statements. Students will master the art of joining tables, working with subqueries, and using aggregation and window functions for powerful analytical queries. A dedicated section on DML commands guides students in batch data insertion, updates, and conditional data manipulation using transactions and error handling. Schema management is explored through DDL commands, with lessons on table modification, indexing, and enforcing data integrity through constraints. Designed with practical applications in mind, the course culminates in a final project where students will create comprehensive queries, build reports, and apply insights for business scenarios such as sales analysis, customer insights, or inventory management. By the end of the course, students will be proficient in extracting and analyzing data from complex databases, empowering them with skills essential for roles in data analytics, business intelligence, and database management.
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151Days 8Hours 23Minutes 0Seconds
Vendor: Cloud Learning Academy
Categories: SQL,
Product Type: SQL Course
    • Course Outline
    • What you will learn
    • Audience profile
    This module covers the essentials of using PivotTables in Excel, including advanced features to enhance data analysis. Lessons Covered: Creating and enhancing PivotTables Adding and using slicers Formatting options for PivotTables Inserting and customizing Pivot Charts After completing this module, students will be able to analyze, edit, and format data using PivotTables and create visual representations with Pivot Charts.
    Learn techniques to audit worksheets for accurate data management and error detection. Lessons Covered: Tracing cell precedents and dependents Displaying and troubleshooting formulas Upon completion, students can audit formulas, trace cell impacts, remove arrows, and identify errors.
    This module dives into data management tools to streamline data formatting and validation. Lessons Covered: Text-to-column conversion Data validation Consolidation of multiple data ranges Goal Seek for targeted analysis After this module, students can structure data, apply validation rules, consolidate data, and use Goal Seek for specific analysis results.
    Learn collaboration techniques and data protection features for secure teamwork. Lessons Covered: Protecting workbooks, worksheets, and specific ranges Tracking and managing changes Students will be able to safeguard data with password protection, track changes, and manage version control.
    This module focuses on recording, running, and managing macros for task automation. Lessons Covered: Recording and running macros Adding macros to the Quick Access Toolbar Students will gain skills in recording, running, and customizing macros to automate repetitive tasks.
    Explore useful Excel tools, such as sparklines for data visualization and importing/exporting options. Lessons Covered: Adding and customizing sparklines Preparing workbooks for internationalization and accessibility Exporting data to Word By the end, students will be able to visualize data with sparklines and seamlessly transfer data between Excel and Word.
    This module introduces cloud-based features in Excel for seamless sharing and collaboration. Lessons Covered: Using Excel in the cloud Students will be equipped to use cloud services, enabling collaborative work and easy access to data remotely.
    Build and customize pivot tables and charts. Trace data dependencies and precedents with ease. Convert, validate, and consolidate data efficiently. Collaborate by protecting sheets and workbooks. Record, run, and manage macros for task automation. Seamlessly import and export data across platforms.
    Advanced Excel users looking to master topics in this course will gain expertise within the 2019 and above interface.

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