SQL Essentials for Data Analytics
Objective
The objective of this course is to get familiar with the basic syntax and structure of SQL queries. Learn how SQL integrates with other tools and technologies. Understand key concepts such as databases, tables, rows, columns, and relationships. Learn Querying Data, Filtering and Sorting, insert, update, and delete operations, combining data and relationships schema design and implementing data integrity.
Target Audience
Students who have done Bachelor of Technology (CS/IT), Bachelor of Computer Applications (BCA), Bachelor of Science in Information and Technology (B.Sc IT), Master of Computer Applications (MCA), Master of Science in Computer Science (M.Sc CS), Master of Science in Information and Technology (M.Sc IT) and professionals seeking a future in IT Industry.
Duration of Course
8 weeks
Credit Weight
2 Credits
Certificate
The participants will be provided with a certificate upon successful completion of the course.
Career Advancement
SQL is one of the most sought-after skills in the data analytics field. Almost every organisation that relies on data uses SQL for data storage, querying, and management. Learning SQL can significantly improve your employability. SQL is used across industries like finance, healthcare, e-commerce, and marketing, making it a versatile and valuable skill in the job market. Students who opt for this course can make their careers as SQL developers, Software Engineers (back-end developers), framework developers in business intelligence and many more.
Module - 1 - Schema Definition and Management
- Over view of Schema Definition and Management
- Implementation of DDL Operations (Create,Alter, Drop, Rename, Truncate)
Module - 2 Data Query and Modification
- Over view of Data Query and Modification
- Implementation of DML Operations (Insert, Update, Delete, Select)
- Introduction of Constraints
- Practical approach to Constraints (Not Null, Unique Key, Primary Key, Foreign Key, Check, Adding and Dropping a Constraint)
Module - 3 Transaction Control Statements
- Overview of Transaction Control Statements
- Implementation of Transaction Control Statements (Commit, Rollback)
Module - 4 SQL Statements
- Incorporating column alias to columns
- Introduction and implementation of Operators (Concatenation , Arithmetic , Comparison Operator ,Logical)
- Sorting rows by ORDER BY Clause
Module - 5 Relational linking and Data Integration
- Basics of Data Integration
- Practical approach of Data Integration using Joins (Equijoins, Non-Equijoins, Left Outer Joins, Right Outer Joins, Full Outer Joins)
- Get verse with Views
- Index
Module - 6 Functions and Subquery used in Data Analytics
- Overview of Subquery
- Subquery in generating repots in Data analytics
- Group by and Having Clause
- Basic concepts of functions
- Functions Utilized in Data Analytics Reports
- Single Row Functions
- Character Functions
- Number Function
- Date Functions
- Conversion Functions
- Aggregate Functions
- Creating User define function in oracle
Module - 7 Practical Application of SQL for analytics
- Apply learned skill to a practical project using real world business data.
Learning Management System (LMS) Panel:
- Lifetime Access: Students can log in securely at any time.
Course Features
- Live Online Classes: Engage in real-time sessions with instructors
- Interactive Sessions: Participate in discussions and Q&A to enhance learning.
- Practical Sessions: Apply concepts through hands-on activities.
- Class Recordings: Access recordings of live classes for review at your convenience
- Self-Learning Videos: Benefit from pre-recorded videos to reinforce learning.
- Digital Course Materials: Receive a soft copy of all course content.
- Assignments: Complete practical assignments to apply your knowledge.
- Practice Assessments: Test your understanding with practice quizzes.
- Final Assessment: Evaluate your overall progress with a comprehensive exam.