Overview What You Will Learn Curriculum Instructor

Course Overview

Understanding and working with databases is a critical skill in today's data-driven world. The SQL and Data Analysis course introduces you to core database concepts and equips you with practical SQL skills essential for managing and analyzing structured data. Whether you're a beginner or looking to strengthen your foundational knowledge, this course will help you master relational databases and their integration with data analysis tools, making you proficient in querying, updating, and visualizing data effectively.

This course begins with setting up the environment and covering basic database concepts such as types of databases, SQL commands, data types, constraints, and normalization. It then progresses to SQL fundamentals, creating, altering, and dropping tables, inserting and retrieving data, and using logical and comparison operators. Advanced topics include string and date functions, aggregate operations, grouping data, conditional expressions, subqueries, and joins. The final section introduces data analysis using Python, demonstrating how to connect to MySQL, work with CSV files, and visualize data using Anaconda.

By the end of the course, you'll confidently write SQL queries, manage relational databases, and perform basic data analysis using Python and MySQL integration.

What You Will Learn

  • Prepare the Database
  • Basic SQL syntax to extract meaningful data from databases
  • Advanced SQL syntax like Grouping
  • Subqueries and Aggregate Functions to extract new features from the Data and communicate better with the stakeholders.
  • Understand basic Database terminology to ace a SQL interview
  • Perform small SQL exercise after each section to practice SQL queries
  • Perform database connections using Python and SQL , the 2 most in demand programming languages for a data professional

Program Curriculum

  • Installation and Setup
  • $7 Million Cybersecurity Scholarship by EC-Council

  • What is a Database?
  • Types of Databases and Relational Database Concepts
  • SQL Commands
  • Data Types
  • Primary and Foreign Key Constraints
  • Introduction to Normalization
  • Chapter 2 Quiz

  • Introduction
  • Create a Table
  • Alter a Table
  • Drop a Table
  • Insert Statements
  • Select Data
  • Select Comparison Operator
  • Select Logical Operator
  • Update Delete
  • Chapter 3 Quiz

  • Introduction 
  • String Functions
  • Date, Month and Year Function
  • Aggregate Functions
  • Group Data Using Group by and Having Clauses
  • SQL Syntax: CASE () and Limit ()
  • Introducing Subqueries 
  • SQL Joins
  • Chapter 4 Quiz

  • Introduction
  • Introduction to Anaconda
  • Working with CSV File
  • Python and MYSQL Connection
  • Data Visualization
  • Chapter 5 Quiz

  • Epilogue
Load more modules

Instructor

Oindrila Sen

Oindrila Sen data enthusiast who has 10+ years of experience in analyzing, visualizing and working with Data. She is a Data Scientist who is currently working on a Customer Retention project for her client. She works in collecting, cleaning, extracting new features and Visualizing Text Data to get an insight. She also publishes her work on different platforms. She is passionate about Data and NLP since a text can tell you a whole new story.

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