- Level Foundation
- Duration 32 hours
- Course by Duke University
-
Offered by
About
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! By the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data " this means you! " will have a strong competitive advantage in this data-smitten business world.Modules
Specialization Introduction: Excel to MySQL: Analytic Techniques for Business
1
Videos
- About this Specialization
1
Readings
- Specialization Overview
Introduction to Managing Big Data with MySQL
2
Videos
- Welcome to Managing Big Data with MySQL
- What You Will Learn in This Course
4
Readings
- Important: Teradata Course Changes
- Course Overview
- IMPORTANT FOR EVERY LEARNER
- Special Thanks!
Lesson 1: Problems Databases Solve
2
Videos
- Problems with Having a Lot of Data Used by a Lot of People
- How Relational Databases Help Solve Those Problems
Lesson 2: Database Design Tools
4
Videos
- Database Design Tools That Will Help You Learn SQL Faster
- How Entity-Relationship Diagrams Work
- Database Structures Illustrated by Entity-Relationship Diagrams
- Relational Schemas
Lesson 3: Building Your Own Entity-Relationship Diagrams
1
Videos
- How to Make Entity-Relationship Diagrams using ERDPlus
2
Readings
- Entity-Relationship Written Exercises
- Entity-Relationship Written Exercises: Answer Key
Lesson 4: Building Your Own Relational Schemas
1
Videos
- How to Make Relational Schemas using ERDPlus
2
Readings
- Relational Schemas Written Exercises
- Relational Schemas Written Exercises: Answer Key
Lesson 5: Test Your Understanding
1
Assignment
- Week 1 Graded Quiz
1
Videos
- Wrapping up Week 1
2
Readings
- Dognition Relational Schema Practice Exercise
- Week One Quiz: Answers and Feedback
Lesson 1: Meet Your Business Data Set
2
Videos
- Introduction to Week 2
- Meet Your Dognition Data
1
Readings
- Dognition Database Information
Lesson 2: Using the Jupyter Interface for MySQL Queries
1
Labs
- Link to Your Jupyter Home Page
3
Videos
- Introduction to Query Syntax
- How to Use Jupyter Notebooks
- How to Use Your Jupyter Account
1
Readings
- How to Use Jupyter (Written Instructions)
Lesson 3: SQL Queries for Looking at Your Data
1
Assignment
- Week 3
1
Labs
- MySQL Exercise 1: Looking at Your Data
1
Readings
- MySQL Exercise 1: Answer Key
Lesson 4: Setting Criteria with WHERE
1
Labs
- MySQL Exercise 2: Selecting Data Subsets Using WHERE
1
Readings
- MySQL Exercise 2: Answer Key
Lesson 5: Formatting Results Using Aliases, DISTINCT, and ORDER BY
1
Labs
- MySQL Exercise 3: Formatting Selected Data
1
Readings
- MySQL Exercise 3: Answer Key
Lesson 6: Test Your Understanding
1
Assignment
- Week 2 Graded Quiz
1
Videos
- You Have Already Become a Different Level of Business Analyst
Lesson 1: Summarizing Your Data Using Aggregate Functions
1
Labs
- MySQL Exercise 4: Summarizing Your Data
2
Videos
- Welcome to Week 3
- Habits that Help You Avoid Mistakes
1
Readings
- MySQL Exercise 4: Answer Key
Lesson 2: Segmenting Your Data Using GROUP BY
2
Labs
- MySQL Exercise 5: Breaking Your Summaries into Groups
- MySQL Exercise 6: Common Pitfalls of GROUP BY
2
Readings
- MySQL Exercise 5: Answer Key
- There is NO Answer Key for MySQL Exercise 6
Lesson 3: Joining Tables
3
Videos
- What are Joins?
- Joins with Many to Many Relationships and Duplicates
- A Note about Our Join Examples
Lesson 4: Practicing Inner Joins
1
Labs
- MySQL Exercise 7: Inner Joins
1
Readings
- MySQL Exercise 7: Answer Key
Lesson 5: Practicing Outer Joins
1
Labs
- MySQL Exercise 8: Joining Tables with Outer Joins
1
Readings
- MySQL Exercise 8: Answer Key
Lesson 6: Test Your Understanding
1
Assignment
- Week 3 Graded Quiz
1
Videos
- No More Waiting to Retrieve Your Data
Lesson 1: Subqueries and Derived Tables
1
Labs
- MySQL Exercise 9: Subqueries and Derived Tables
1
Videos
- Welcome to Week 4
1
Readings
- MySQL Exercise 9: Answer Key
Lesson 2: Useful Logical Functions
1
Labs
- MySQL Exercise 10: Useful Logical Functions
1
Readings
- MySQL Exercise 10: Answer Key
Lesson 3: Working Through Your Dognition Analysis Plan
1
Labs
- MySQL Exercise 11: Queries that Test Relationships Between Test Completion and Dog Characteristics
1
Videos
- Start with an Analysis Plan
2
Readings
- Dognition Structured Pyramid Analysis Plan (SPAP)
- MySQL Exercise 11: Answer Key
Lesson 4: Working Through More of Your Dognition Analysis Plan
1
Labs
- MySQL Exercise 12: Queries that Test Relationships Between Test Completion and Testing Circumstances
1
Readings
- MySQL Exercise 12: Answer Key
Lesson 2: Test Your Understanding
1
Assignment
- Week 4 Graded Quiz
1
Videos
- Don't Be Afraid to Ask Questions!
Auto Summary
"Managing Big Data with MySQL" is a foundational course in Data Science & AI, offered by Coursera. Led by expert instructors, it focuses on using relational databases for business analysis, including entity-relationship diagrams and SQL queries. The course spans 1920 minutes and is available through Starter, Professional, and Paid subscriptions. Ideal for aspiring analysts, it equips learners with essential skills to independently access and analyze business data, offering a competitive edge in the data-driven business landscape.

Daniel Egger

Jana Schaich Borg