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Learn MySQL from scratch for Data Science and Analytics

Categories: Data Science
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About Course

Master the most in-demand SQL database for data science and boost your career prospects

In this comprehensive course, you will learn:

  • The basics of SQL syntax, including data types, operators, and functions.
  • How to use SQL to query, manipulate, and analyze data.
  • How to create and manage tables, databases, and views.
  • How to write complex SQL queries using subqueries, joins, and window functions.
  • How to import and export data between SQL databases and other file formats, such as CSV and Excel.
  • How to use Python to automate your SQL tasks and create powerful data science workflows.

This course is designed for beginners with no prior experience in SQL. However, if you have some programming experience, you will be able to learn the material more quickly.

You will learn from experienced data scientists and database administrators who will teach you the concepts and skills you need to succeed in the field.

By the end of this course, you will be able to:

  • Use SQL to query and analyze large datasets efficiently.
  • Build and maintain SQL databases for data science projects.
  • Use Python to automate your SQL tasks and create powerful data science workflows.

This course is perfect for:

  • Aspiring data scientists and business analysts
  • Developers who want to add SQL to their skill set
  • Database administrators who want to learn more about data science

Enroll today and start your journey to becoming a SQL Data Science Pro!

Bonuses:

  • HD video lectures
  • SQL query challenges and exercises
  • Beautiful real-world dynamic projects

Sign up today and look forward to:

  • Learning from experienced data scientists and database administrators
  • Gaining the skills you need to succeed in the rapidly growing field of data science
  • Building a portfolio of real-world data science projects
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What Will You Learn?

  • Use SQL to query a data for business reports
  • Get a job as a junior Data Analytics developer
  • Advanced SQL statements for complex queries
  • Use Workbench to prepare Database schema structure
  • Be comfortable putting SQL and MySQL on their resume
  • Learn to perform GROUP BY statements for Business Intelligence reports
  • Replicate real-world situations and query reports
  • Complete basic SELECT statements querying against a single table
  • Filter data using the WHERE clause to identify required data
  • Apply SQL for Data Science and Data Engineering
  • Using JOINS, return data from multiple tables in the same query
  • Complete Analysis statements that use aggregate functions
  • Import and Export .CSV, Excel to SQL Database
  • Performing Secure Backup and Restore Full SQL Database on your servers

Course Content

Getting Started

  • Introduction
    00:00
  • How to Get Course Requirements
    00:00
  • Getting Started on Windows, Linux or Mac
    00:00
  • How to Ask Great Questions
    00:00
  • FAQ’s
    00:00
  • Source Code File
    00:00

SQL Server Setting Up

SQL Database Basics

SQL DML (Data Manipulation Language)

SQL DDL (Data Definition Language)

SQL DCL (Data Control Language)

SQL Statement Basic

Filtering Data Rows

Aggregate Functions for Data Analysis

SQL Data Analytic Statements

SQL Group by Statement

JOINS

SQL Constraints

Views

Advanced SQL Functions

SQL Stored Procedures

Import & Export Data

Backup and Restore Database

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