Managing Big Data with MySQL

  • 4.7
Approx. 32 hours to complete

Course Summary

This course teaches students how to use MySQL for data analytics by going through real-world scenarios and providing hands-on experience. It covers topics such as data modeling, data visualization, and data analysis.

Key Learning Points

  • Learn how to use MySQL for data analytics in real-world scenarios
  • Gain hands-on experience in data modeling, visualization, and analysis
  • Practice using MySQL to solve complex business problems

Job Positions & Salaries of people who have taken this course might have

    • USA: $63,000 - $110,000
    • India: INR 4,00,000 - INR 12,00,000
    • Spain: €25,000 - €45,000
    • USA: $63,000 - $110,000
    • India: INR 4,00,000 - INR 12,00,000
    • Spain: €25,000 - €45,000

    • USA: $68,000 - $120,000
    • India: INR 5,00,000 - INR 15,00,000
    • Spain: €28,000 - €50,000
    • USA: $63,000 - $110,000
    • India: INR 4,00,000 - INR 12,00,000
    • Spain: €25,000 - €45,000

    • USA: $68,000 - $120,000
    • India: INR 5,00,000 - INR 15,00,000
    • Spain: €28,000 - €50,000

    • USA: $77,000 - $140,000
    • India: INR 6,00,000 - INR 18,00,000
    • Spain: €32,000 - €60,000

Related Topics for further study


Learning Outcomes

  • Understand how to use MySQL for data analytics
  • Gain hands-on experience in data modeling, visualization, and analysis
  • Learn how to solve complex business problems using MySQL

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of SQL
  • Familiarity with databases

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • SQL for Data Analysis
  • Python Data Analysis
  • Data Visualization with Tableau

Related Education Paths


Related Books

Description

This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts. You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!

Outline

  • About this Specialization and Course
  • About this Specialization
  • Welcome to Managing Big Data with MySQL
  • What You Will Learn in This Course
  • Specialization Overview
  • Course Overview
  • IMPORTANT FOR EVERY LEARNER
  • Special Thanks!
  • Understanding Relational Databases
  • Problems with Having a Lot of Data Used by a Lot of People
  • How Relational Databases Help Solve Those Problems
  • Database Design Tools That Will Help You Learn SQL Faster
  • How Entity-Relationship Diagrams Work
  • Database Structures Illustrated by Entity-Relationship Diagrams
  • Relational Schemas
  • How to Make Entity-Relationship Diagrams using ERDPlus
  • How to Make Relational Schemas using ERDPlus
  • Wrapping up Week 1
  • Entity-Relationship Written Exercises
  • Entity-Relationship Written Exercises: Answer Key
  • Relational Schemas Written Exercises
  • Relational Schemas Written Exercises: Answer Key
  • Dognition Relational Schema Practice Exercise
  • Dillard's Relational Schema Practice Questions
  • Week One Quiz: Answers and Feedback
  • Week 1 Graded Quiz
  • Queries to Extract Data from Single Tables
  • Introduction to Week 2
  • Meet Your Dognition Data
  • Meet Your Dillard's Data
  • Introduction to Query Syntax
  • How to Use Jupyter Notebooks
  • How to Use Your Jupyter Account
  • How to Use Teradata Viewpoint and SQL Scratchpad
  • You Have Already Become a Different Level of Business Analyst
  • Dognition Database Information
  • Dillard's Database Information
  • How to Use Jupyter (Written Instructions)
  • MySQL Exercise 1: Answer Key
  • MySQL Exercise 2: Answer Key
  • MySQL Exercise 3: Answer Key
  • How to Login to and Use Teradata Viewpoint (Written Instructions)
  • Week 2 Teradata Practice Exercises Guide
  • Introduction to Teradata
  • Read Before Starting Quiz 2
  • Week 2 Quiz: Answers and Feedback
  • Week 2 Graded Quiz using Teradata
  • Queries to Summarize Groups of Data from Multiple Tables
  • Welcome to Week 3
  • Habits that Help You Avoid Mistakes
  • What are Joins?
  • Joins with Many to Many Relationships and Duplicates
  • A Note about Our Join Examples
  • No More Waiting to Retrieve Your Data
  • MySQL Exercise 4: Answer Key
  • MySQL Exercise 5: Answer Key
  • There is NO Answer Key for MySQL Exercise 6
  • MySQL Exercise 7: Answer Key
  • MySQL Exercise 8: Answer Key
  • Week 3 Teradata Practice Exercises Guide
  • Week 3 Quiz: Answers and Feedback
  • Week 3 Graded Quiz using Teradata
  • Queries to Address More Detailed Business Questions
  • Welcome to Week 4
  • Start with an Analysis Plan
  • MySQL Exercise 9: Answer Key
  • MySQL Exercise 10: Answer Key
  • Dognition Structured Pyramid Analysis Plan (SPAP)
  • MySQL Exercise 11: Answer Key
  • MySQL Exercise 12: Answer Key
  • No Week Four Quiz
  • Strengthen and Test Your Understanding
  • Don't Be Afraid to Ask Questions!
  • Special Note about the Week 5 Graded Quiz - Please Read
  • Quiz 5: Answers and Feedback
  • Week 5 Graded Quiz using Teradata

Summary of User Reviews

This course on analytics with MySQL has garnered positive reviews from users. They found it to be informative and engaging, with practical exercises that helped them apply the concepts learned. One key aspect that many users thought was good was the instructor's clear explanations and examples that made complex topics easy to understand.

Key Aspect Users Liked About This Course

Instructor's clear explanations and examples

Pros from User Reviews

  • Informative and engaging content
  • Practical exercises for hands-on learning
  • Easy-to-understand explanations and examples
  • Relevant to real-world scenarios

Cons from User Reviews

  • Some users found the pace too slow
  • Not suitable for advanced users
  • Limited scope of topics covered
  • Technical issues with the learning platform
  • Lack of interaction with other students
English
Available now
Approx. 32 hours to complete
Daniel Egger, Jana Schaich Borg
Duke University
Coursera

Instructor

Daniel Egger

  • 4.7 Raiting
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