By Mayank Chaturvedi

Data Minning, Relational Database, SQL, Advance SQL Course

·        Introduction to Data and Database Management

o  Data and its Significance, Types of Data: Structured, Semi-Structured, and Unstructured

o  Overview of Data Architecture, Data Management, Data Lifecycle

o   Data Governance and Stewardship

·        Relational Databases

o  Understanding Relational Databases

o  Normalization and Denormalization

o  Entity-Relationship Diagrams (ERD)

·        Big Data and Hadoop Ecosystem

o  Definition and Characteristics of Big Data Basics

o  Introduction to Hadoop Ecosystem

o  MapReduce Programming Model

·        Data Warehousing

o  Introduction to Data Warehousing, Data Marts vs. Data Warehouses

o  Dimensional Modeling, Extract, Transform, Load (ETL) Processes

·        Introduction to SQL

o  Overview of MySQL, Installation and Setup

o  Basics of SQL Syntax, Data Types

·        SQL Querying and Operations

o  Using Operators for Comparisons and Calculations, Aggregate Functions

o  Subqueries, Relationships between Tables

o  JOIN Operations (INNER, LEFT, RIGHT, FULL)

·        Advanced SQL Techniques

o  Common Table Expressions (CTEs) , Recursive SQL Queries

o  Lead and Lag Functions, Partition By

o  Advanced Functions like First_Value(), Last_Value(), Ntile()

·        Data Manipulation with SQL

o  OFFSET and FETCH Clauses for Result Pagination

o  Aggregation Using GROUP_CONCAT, STRING_AGG, LISTAGG Functions

o  Transforming Data with Unpivoting and Pivoting Techniques

o  Insert, Update, or Delete in a Single Statement

·        Stored Procedures in SQL

o  Introduction & Benefits of Stored Procedures

o  Creating, Executing, Modifying, Dropping Stored Procedures

o  Input–Output and Optional Parameters

o  System Defined & User Defined Stored Procedures

·        Introduction to Data Mining

o  Importance & Overview of Data Mining

o  Data Mining Process: Exploration, Preprocessing, Model Building, Evaluation

o  Association Rule Mining, Classification, Clustering, and Regression

·        Working with XML Data

o  Basics of XML Data Type in SQL

o  Handling XML Data: Parsing, Querying, and Manipulating XML in SQL

·        Interview Questions & Resume ready projects on SQL