Virtual Workshop

SQL & Power BI Program: From Foundations to Advanced Techniques

SQL, Power BI, Data Modeling, ETL, DAX, Data Security, Performance Tuning, Data Governance, Version Control, Advanced Analytics, Database, Query Optimization, Data Transformation, SQL Syntax, Database Design, Data Analysis, Practical Exercises, Database Security, Hands-on Learning, Career Enhancement.

star_full star_full star_full star_full star_full

MODE
Virtual (Google Meet)
TYPE
Mentor Based
LEVEL
Moderate
DURATION
1.5 Hours/Day
VIDEO LENGTH
1

About

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.

Aim

The aim of the programs are  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.

Courses 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.

Courses Structure

Day 1: SQL Fundamentals and Database Management 

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 

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 

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 

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)

Day 2: “Advanced SQL Topics and Data Aggregation” 

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 

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) 

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 

Day 3: “Advanced SQL Techniques, Subqueries, and Database Security”

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) 

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 

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)

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

Day 4: Assignment I

Day 5: Assignment II

Day 6 : SQL Advanced Topics and Database Expertise
Session 1: SQL Functions

  • Explanation of Scalar functions
  • Overview of Aggregate functions
  • Introduction to Date and Time functions

Session 2: SQL Procedures and Optimization

  • Creating and using Stored Procedures
  • Basic introduction to Triggers

Session 3: Database Design and Performance

  • Brief overview of Normalization and Denormalization
  • Discuss the importance of Indexing for performance
  • Introduce Constraints and Data Integrity

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

Day 7 : Advanced SQL Techniques and Database Administration

Session 5: Advanced SQL Techniques

  • Brief overview of Window functions
  • Introduction to Common Table Expressions (CTEs)
  • High-level understanding of Advanced joins and subqueries

Session 6: 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

Session 7: Database Administration

  • Briefly explain Backup and Recovery strategies
  • Mention User and Permissions management
  • Introduce Monitoring and Troubleshooting (very high-level)

Session 8: 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

Day 8 : Power BI Program Integrating Advanced SQL

Session 9: Power BI Data Modeling

  • Overview of Advanced data modeling techniques
  • Introduce working with complex data structures
  • Discuss Hierarchies and time intelligence

Session 10: Advanced DAX and Power Query

  • Introduction to Advanced DAX functions and formulas
  • Briefly cover Advanced Power Query transformations
  • Mention optimizing data loading

Session 11: 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

Session 12: Real-Time Power BI Use Cases

  • Briefly discuss Complex data scenarios
  • Mention Business intelligence projects

 

Participant’s Eligibility

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

Important Dates

Registration Ends

2023-10-25
Indian Standard Timing 11:00 AM

Courses Dates

2023-10-25 to 2023-11-01
Indian Standard Timing 12:00 Noon

Courses Outcomes

  1. 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.
  2. 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.
  3. 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.
  4. Enhanced Data Security: Knowledge of data security measures will enable individuals to protect sensitive information within databases and reports, ensuring compliance and privacy.
  5. Optimized Performance: Participants will learn to fine-tune SQL queries and Power BI reports, improving system performance and responsiveness.
  6. Real-Time Applications: The program will emphasize practical, real-world applications, empowering attendees to apply their skills immediately to solve data-related challenges.
  7. Effective Collaboration: By fostering teamwork and effective communication, participants will be better equipped to work collaboratively on data analysis and reporting projects.
  8. Informed Decision-Making: Participants will be able to transform data into actionable insights, aiding organizations in making more informed decisions and strategical choices.

Mentor Profile

zeeshan jpg
Name: Mr. MOHAMMED ZEESHAN FAROOQ
Designation: IT Professional Mentor
Affiliation: IT Trainer, Wipro

Mr. MOHAMMED ZEESHAN FAROOQ is an esteemed Professor in the Department of Information Technology (IT) at the prestigious Jawaharlal Nehru Technological University (JNTU). With over 15 years as a Trainer and Speaker, and two decades in IT and Oracle SQL and PLSQL Development, this professional is a seasoned expert. As a Research Scholar, they specialize in the dark web, holding a B.Tech and multiple Oracle SQL and PLSQL Development certifications. Their expertise includes Threat Intelligence, Web Application Vulnerability Testing, Automotive Oracle SQL and PLSQL Development, SOC Analysis, IoT Security, Dark Web Investigation, and more. They’ve delivered training globally to diverse sectors, earned certifications such as CISA and CEH, offer custom training programs, conduct takedowns for online abuse, and perform audits based on NIST 800-53, ISO 27001, and CoBIT standards.

Fee Structure

Student

INR. 999
USD. 50

Ph.D. Scholar / Researcher

INR. 1499
USD. 60

Academician / Faculty

INR. 1999
USD. 70

Industry Professional

INR. 2499
USD. 120

Batches

Spring
Summer

Autumn
Winter

Certificate

Still have any Query?