Mentor Based
SQL & Power BI Program: From Foundations to Advanced Techniques
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Course Overview
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SQL & Power BI Program: From Foundations to Advanced Techniques
Professional Certification Program
π₯
FormatLive + Recorded
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Duration8 Weeks
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CertificationVerified
Program Syllabus
Module 1
About This Course
The SQL & Power BI Program: From Foundations to Advanced Techniques Program is an intensive program designed to equip participants with the expertise needed to harness the full potential of data. In this comprehensive program, you’ll master advanced SQL techniques, enabling you to seamlessly navigate and manipulate complex datasets. You’ll also dive into the world of Power BI, gaining the skills to create compelling visualizations and interactive dashboards that translate data into actionable insights. With a focus on data security, performance optimization, and real-world applications, this program will not only enhance your technical abilities but also empower you to drive data-driven decisions in your organization. Join us on this transformative journey towards becoming a data-driven powerhouse.
Module 2
Aim
The aim of the programs are Β to equip participants with a comprehensive and practical understanding of SQL, enabling them to proficiently interact with and manage relational databases, design and optimize data models, perform advanced data analysis, and integrate SQL data into Power BI for effective data visualization. These courses emphasize hands-on learning and real-world application, preparing individuals with industry-relevant skills to excel in data-related roles and make informed data-driven decisions.
Module 3
Program Objectives
- Master Advanced SQL Skills: Equip participants with the ability to write complex SQL queries, optimize database performance, and design efficient data models.
- Empower Power BI Proficiency: Develop expertise in Power BI for creating impactful data visualizations, reports, and interactive dashboards that facilitate data-driven decision-making.
- Enable Seamless Data Integration: Teach participants how to extract, transform, and load (ETL) data from various sources, ensuring seamless integration with Power BI.
- Enhance Data Security: Provide insights into implementing robust data security measures to protect sensitive information within databases and reports.
- Optimize Performance: Enable participants to fine-tune SQL queries and Power BI reports for enhanced performance and responsiveness.
- Promote Real-World Applications: Emphasize practical, real-world applications of SQL and Power BI for immediate, actionable insights.
- Foster Collaboration: Encourage collaboration and effective communication within teams for efficient data analysis and reporting.
- Drive Informed Decision-Making: Empower participants to transform data into actionable insights, aiding organizations in making more informed decisions.
- Prepare for Career Advancement: Equip individuals with the skills and knowledge necessary to advance in data-related roles and excel in the fields of data analytics, business intelligence, and data engineering.
- Encourage Lifelong Learning: Instill a commitment to ongoing learning and adaptation in the rapidly evolving fields of data analytics and business intelligence.
Module 4
Session 1: SQL Fundamentals and Database Introduction
- Introduction to SQL and Databases
- DBMS vs. RDBMS Understanding
- SQL Standards Overview
- SQL Sub-languages
- Oracle Versions Comparison (10g, 11g, 12c)
- Oracle 12c Installation
- SQL*Plus and Developer Tool Usage
- Datatypes in Oracle
- Operators in Oracle
- Schema Design and Objects Overview
Module 5
Session 2: Data Retrieval Techniques
- SELECT Statement for Data Retrieval
- Column and Table Aliases
- Data Filtering and Sorting within a Single Table
- Clauses in Oracle: WHERE, HAVING, FROM, GROUP BY, ORDER BY, USING, CONSTRAINT, FOR UPDATE
Module 6
Session 3: Working with DDL Commands
- CREATE Statement for Table Creation
- Creating Tables from Existing Tables
- Table Deletion with DROP Command
- Altering Table Columns
- Modifying Column Data Types
- Renaming Table Columns and Entire Tables
- Using TRUNCATE Command
- Difference Between DELETE and TRUNCATE
Module 7
Session 4: Working with DML Commands
- Copying Data between Tables
- Copying Table Structure
- Various Methods of Inserting Rows
- Updating Record Values with UPDATE Command
- Deleting Specific Records
- Utilizing MERGE and INSERT ALL Commands (Project Implementation: Project 1)
Module 8
Session 1: Integrity Constraints
- Declaring Column-Level Constraints
- Declaring Row-Level Constraints
- Adding Constraints to Existing Tables
- Types of Integrity Constraints: NOT NULL, UNIQUE Key, PRIMARY Key, Referential Integrity, Check Integrity
- Enabling and Disabling Constraints
- Retrieving Information About Constraints
Module 9
Session 2: Built-In Functions
- Understanding Single Row Functions
- Using Single Row Functions with Dummy Tables
- Types of Single Row Functions: String Functions, Date Functions, Mathematical Functions, Conversion Functions, Special Functions, Analytical Functions
- Working with Multi-Row Functions (Project Implementation: Project 2)
Module 10
Session 3: Data Aggregation
- Working with Aggregate Functions: COUNT(), SUM(), MAX(), MIN(), AVG()
- Utilizing GROUP BY Clause
- Working with HAVING Clause
- Distinguishing Between WHERE and HAVING Clauses
Module 11
Session 1: Understanding Joins
- Importance and Uses of Joins
- Types of Joins: Equi Join, Non-Equi Join, Self Join, Outer Join, Left and Right Outer Join, Full Outer Join, Cross Join (Project Implementation: Project 3)
Module 12
Session 2: Set Operators and Pseudo Columns
- Utilizing Set Operators within a Single Table
- Working with Set Operator Types: UNION, UNION ALL, INTERSECT, MINUS
- Exploring Pseudo Columns: ROWID, ROWNUM
Module 13
Session 3: Subqueries and Views
- Significance of Subqueries
- Different Types of Subqueries: Single-Row Subqueries, Multi-Row Subqueries, Nested Queries, Multi-Column Subqueries, Correlated Subqueries
- Using Inline Views and Scalar Queries (Project Implementation: Project 4)
Module 14
Session 4: Database Transactions and Security
- Working with Transaction Control Language (TCL)
- Managing Data Control Language (DCL) Commands
- Using COMMIT and ROLLBACK
- Leveraging SAVEPOINT and SET TRANSACTION
- Granting System Privileges to Users
- Invoking and Revoking Object Privileges
- Creating Users and Roles
Module 15
Session 1: SQL Functions
- Explanation of Scalar Functions
- Overview of Aggregate Functions
- Introduction to Date and Time Functions
Module 16
Session 2: SQL Procedures and Optimization
- Creating and Using Stored Procedures
- Basic Introduction to Triggers
Module 17
Session 3: Database Design and Performance
- Brief Overview of Normalization and Denormalization
- Discuss the Importance of Indexing for Performance
- Introduce Constraints and Data Integrity
Module 18
Session 4: Query Optimization
- High-Level Discussion of Query Optimization Techniques
- Quick Overview of Analyzing Query Execution Plans
- Mention the Importance of Profiling and Monitoring Database Performance
Module 19
Session 1: Advanced SQL Techniques
- Brief Overview of Window Functions
- Introduction to Common Table Expressions (CTEs)
- High-Level Understanding of Advanced Joins and Subqueries
Module 20
Session 2: SQL Reporting and Analysis
- Creating Complex Reports with SQL (Introduce Basic Concepts)
- Discuss the Role of SQL in Data Analysis
- Touch on Data Export and Integration
Module 21
Session 3: Database Administration
- Briefly Explain Backup and Recovery Strategies
- Mention User and Permissions Management
- Introduce Monitoring and Troubleshooting (Very High-Level)
Module 22
Session 4: High Availability and Security
- Quick Overview of High Availability Solutions (Replication, Clustering)
- Discuss Security Best Practices and Compliance at a High Level
- Mention Encryption and Data Protection
Module 23
Session 1: Power BI Data Modeling
- Overview of Advanced Data Modeling Techniques
- Introduce Working with Complex Data Structures
- Discuss Hierarchies and Time Intelligence
Module 24
Session 2: Advanced DAX and Power Query
- Introduction to Advanced DAX Functions and Formulas
- Briefly Cover Advanced Power Query Transformations
- Mention Optimizing Data Loading
Module 25
Session 3: Advanced Power BI Visualization and Reporting
- Discuss Advanced Visualizations and Custom Visuals (High-Level)
- Introduction to Drillthrough and Bookmarks
- Mention Storytelling and Reporting Best Practices
Module 26
Session 4: Real-Time Power BI Use Cases
- Briefly Discuss Complex Data Scenarios
- Mention Business Intelligence Projects
Module 27
Who Should Enrol?
Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Business Intelligence, Financial Analysis, Software Development, IT and Technology, Healthcare and Research, E-commerce and Retail
Module 28
Program Outcomes
- Advanced SQL Proficiency: Participants will gain a deep understanding of SQL, enabling them to write and optimize complex queries, manage databases effectively, and design efficient data models.
- Power BI Mastery: Attendees will become proficient in Power BI, capable of creating visually appealing and interactive reports and dashboards that facilitate data-driven decision-making.
- Seamless Data Integration: Participants will be able to extract, transform, and load data from various sources into Power BI, ensuring a smooth and efficient data integration process.
- Enhanced Data Security: Knowledge of data security measures will enable individuals to protect sensitive information within databases and reports, ensuring compliance and privacy.
- Optimized Performance: Participants will learn to fine-tune SQL queries and Power BI reports, improving system performance and responsiveness.
- Real-Time Applications: The program will emphasize practical, real-world applications, empowering attendees to apply their skills immediately to solve data-related challenges.
- Effective Collaboration: By fostering teamwork and effective communication, participants will be better equipped to work collaboratively on data analysis and reporting projects.
- Informed Decision-Making: Participants will be able to transform data into actionable insights, aiding organizations in making more informed decisions and strategical choices.
Module 30
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 31
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 32
Publication Opportunity
Get published in a prestigious open-access journal.
Module 33
Centre of Excellence
Become part of an elite research community.
Module 34
Networking & Learning
Connect with global researchers and mentors.
Module 35
Global Recognition
Worth βΉ20,000 / $1,000 in academic value.
Module 36
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