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Learn MySQL Basics for Data Science

Master MySQL for data science & mining. Learn database fundamentals, SQL queries, and data manipulation techniques. Perfect for data analysts and scientists.

3.2(39)
574students
1h 29m
Certificate
Goh Ming Hui
Goh Ming HuiOffer affordable data science courses.

Course Content

Learn MySQL Basics for Data Science is a beginner-level Udemy course taught by Goh Ming Hui. It runs 1h 29m, is taught in English, and includes a certificate of completion. Learners rate it 3.2 out of 5 from 39 reviews, with 574 students enrolled. It is a paid course, first published December 2018.

Why Choose a Career in Data Analysis and Data Science?

Discover the compelling reasons to embark on a career in data analysis and data science. According to SAS, here are five key drivers:

  • Develop In-Demand Problem-Solving Skills: Sharpen your analytical thinking and learn to approach challenges effectively – a highly valuable asset in both professional and personal life.
  • High Job Demand: Data analysts and data scientists are in high demand. With a growing skills gap as businesses increasingly leverage data, this demand is only set to increase.
  • Data is Ubiquitous: Data is everywhere! Every organization generates data and seeks actionable insights. Capitalize on this exciting time and launch your career in data analytics.
  • Increasing Importance: The explosion of available data presents unprecedented opportunities to uncover valuable insights for informed decision-making. This rising value translates to better job prospects for data analysts.
  • Versatile Skillset: Data analysis encompasses a wide range of disciplines, including computer science, business, and mathematics. Develop crucial communication skills to effectively convey complex information to diverse audiences. Explore emerging fields like the Internet of Things (IoT) and Smart Cities, where data science intersects with engineering.

MySQL for Data Science: A Practical Introduction

This concise course provides a foundational understanding of MySQL for data science. You'll master essential SQL commands:

  • SELECT, INSERT, UPDATE, DELETE
  • ORDER BY, GROUP BY
  • SQL operators and conditions (AND, OR, NOT)
  • Data warehousing concepts
  • Star Schema design
  • Utilizing MySQL Workbench to create Star Schemas
  • Data mining processes
  • OLAP Rollup

Prerequisites & Further Learning:

This course is part of a series designed to build strong programming fundamentals. Consider these related courses to enhance your skills:

  • [Create Your Calculator: Learn R Programming Basics Fast](link to course)
  • [Create Your Calculator: Learn Python Programming Basics Fast](link to course)
  • [Create Your Calculator: Learn C Programming Basics Fast](link to course)
  • [Create Your Calculator: Learn C# Programming Basics Fast](link to course)
  • [Create Your Calculator: Learn Java Programming Basics Fast](link to course)
  • [Create Your WebBrowser: Learn C# Fundamentals Practically](link to course)

Successful completion of these six courses, along with a 50-question exam, earns you the SVBook Advanced Certificate in Software Development.

Course Topics:

  • MySQL Installation: Learn to install and configure MySQL.
  • Database Creation: Create databases and tables from Entity-Relationship Diagrams (ERDs) using MySQL Workbench.
  • SQL Fundamentals:
    • SELECT Statement
    • SELECT DISTINCT
    • SELECT using Operators and Conditions (AND, OR, NOT)
    • ORDER BY
    • INSERT Statement
    • Checking for Null Values
    • UPDATE Statements
    • DELETE Statements
    • MIN, MAX, COUNT, SUM, AVG
    • LIKE
    • GROUP BY
  • Joining Tables:
    • Join Two Tables
    • Join Two Tables (Advanced)
    • Get Frequency Table with Join and Group By
    • Join and Group By (Advanced)
    • Join 3 Tables
    • Join 3 Tables (Advanced)
  • Data Warehousing:
    • Data Warehouse Basics
    • Star Schema Basics
    • ROLAP Rollup Operation
  • Data Mining Process
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