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!
Managing Big Data with MySQL
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Managing Big Data with MySQL
Ce cours fait partie de Spécialisation Excel to MySQL: Analytic Techniques for Business
Instructeurs : Daniel Egger
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Compétences que vous acquerrez
- Catégorie : Data Analysis
- Catégorie : SQL
- Catégorie : MySQL
- Catégorie : Teradata
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5 devoirs
Enseigné en Anglais
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Ce cours fait partie de la Spécialisation Excel to MySQL: Analytic Techniques for Business
Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.
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Il y a 6 modules dans ce cours
The Coursera Specialization, "Managing Big Data with MySQL" is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to a real-world business process. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. To learn more about the specialization, please review the first lesson below, "Specialization Introduction: Excel to MySQL: Analytic Techniques for Business." In this fourth course of this specialization, "Managing Big Data with MySQL” you will learn how relational databases work and how they are used in business analysis. 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. To get started with this course, you can begin with, "Introduction to Managing Big Data with MySQL." Please take some time to not only watch the videos, but also read through the course overview as there is extremely important course information in the overview.
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3 vidéos5 lectures
In this module, you will learn how relational databases are organized, and practice making and interpreting Entity Relationship (ER) diagrams and relational schemas that describe the structure of data stored in a database. This week’s exercises are donated from a well-known Database Systems textbook, and will help you deepen and strengthen your understanding of how relational databases are organized. This deeper understanding will help you navigate complicated business databases, and allow you to write more efficient queries. At the conclusion of the week, you will test your understanding of database design principles by completing the Week 1 graded quiz. To get started, please begin with the video “Problems with Having a Lot of Data Used by a Lot of People.” As always, if you have any questions, post them to the Discussions. I hope you enjoy this week's materials!
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9 vidéos6 lectures1 devoir
In this module, you will start interacting with business databases. You will write SQL queries that query data from two real companies. One data set, donated from a local start-up in Durham, North Carolina called Dognition, is a MySQL database containing tables of over 1 million rows. The other data set we'll learn about was donated from a national US department store chain called Dillard’s, is a Teradata database containing tables with over a hundred million rows. Make sure to watch the instructional videos about how to use the database interfaces we have established for this course, and complete the MySQL exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the graded quiz. As always, if you have any questions, post them to the Discussions. Enjoy this week's materials!
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6 vidéos5 lectures2 devoirs4 laboratoires non notés
In this module, we are going to learn the SQL syntax that allows you to segment your data into separate categories and segment. We are also going to learn how to combine data stored in separate tables. Make sure to watch the videos about joins, and complete the MySQL exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the graded quiz. We strongly encourage you to use the course Discussions to help each other with questions.
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6 vidéos5 lectures1 devoir5 laboratoires non notés
In this module, you will practice integrating the SQL syntax you’ve learn so far into queries that address analysis questions typical of those you will complete as a business data analyst. Due to the extensive nature of the queries we will practice this week, we have put the graded quiz that tests your understanding of the SQL strategies you will practice in its own module at the end of this week. Make sure to complete the MySQL exercises, and we strongly encourage you to use the course Discussions to help each other with questions.
Inclus
2 vidéos5 lectures4 laboratoires non notés
This module contains the final graded quiz for the course. This quiz are intended to hone and build your understanding of the last important concepts in the course!
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1 vidéo1 devoir
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No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.