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Data in Database

Approx. 10 hours to complete

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Course Summary

Learn how to manage and analyze data in databases with this comprehensive course. You'll gain hands-on experience with SQL, data modeling, and database design.

Key Learning Points

Gain practical skills in managing and analyzing data in databases
Learn SQL, data modeling, and database design
Apply your new skills to real-world scenarios

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

- USA: $75,000 - $123,000
- India: ₹500,000 - ₹1,500,000
- Spain: €35,000 - €60,000
- USA: $75,000 - $123,000
- India: ₹500,000 - ₹1,500,000
- Spain: €35,000 - €60,000
- USA: $50,000 - $95,000
- India: ₹300,000 - ₹1,200,000
- Spain: €20,000 - €40,000
- USA: $75,000 - $123,000
- India: ₹500,000 - ₹1,500,000
- Spain: €35,000 - €60,000
- USA: $50,000 - $95,000
- India: ₹300,000 - ₹1,200,000
- Spain: €20,000 - €40,000
- USA: $65,000 - $120,000
- India: ₹400,000 - ₹1,200,000
- Spain: €30,000 - €50,000

Learning Outcomes

Understand the fundamentals of managing and analyzing data in databases
Gain practical experience with SQL, data modeling, and database design
Apply your new skills to real-world scenarios

Prerequisites or good to have knowledge before taking this course

Basic computer skills
Familiarity with spreadsheets

Course Difficulty Level

Intermediate

Course Format

Online self-paced
Video lectures
Interactive quizzes and exercises

Similar Courses

Data Science Essentials
Data Warehousing for Business Intelligence
Machine Learning

Related Education Paths

Notable People in This Field

Data Scientist
Data Architect
Database Analyst

Related Books

Description

Big Data analytics tools are increasingly critical for providing meaningful information for making better business decisions.

Big data technologies bring significant cost advantages when it comes to storing and managing large amounts of data. Understanding how to query a database to extract data will empower better analysis of large, complex datasets. Knowledge of Indexing mechanisms makes possible high-speed, selective retrieval of large amounts of information. Please note that enrollments for this course will close on January 31, 2021. If you are seeking certification, please be aware that you must pay the course fee by January 31, 2021.

Knowledge

Evaluate data models and data processing concepts
Apply relationship algebra to entity relationship models
Compare major indexing schemes in Database Systems
Analyze transaction properties and concurrency control concepts

Outline

Big Data and Data Processing
Introduction to Data and Data Processing
Database Management Systems
Data Models
Best Practices for Online Learning
Technology Tools
PostgresSQL Resources
Knowledge Check: Database Systems

Entity Relationship Model to Relational Model
Entity Relationship Model (ER)
Class Hierarchies and Aggregation within ER Models
Creating Relations in SQL
ER to Relational Model
Practice SQL Exercises

Relational Model and Relational Algebra
Relational Data Model
Relational Algebra: Query Language
Relational Algebra: Query Language: Union
Relational Algebra: Query Language: Difference
Relational Algebra: Query Language: Cartesian Product
Relational Algebra: Query Language: Selection
Relational Algebra: Query Language: Projection
Relational Algebra: Query Language: Intersection
Relational Algebra: Query Language: θ-Join
SQL Query Language: Part 1
SQL Query Language: Part 2
Knowledge Check: Introduction to Data and Data Processing
Knowledge Check 1: Relational Algebra
Knowledge Check 2: Relational Algebra

Data Storage and Indexing
Introduction to Data Storage
Alternative File Organization
Hash-Based Indexes
Index Classification
Principles of Transactions: ACID Properties
Lock-Based Concurrency Control
Database Recovery
Knowledge Check: ACID Properties
Knowledge Check: Transactions and Concurrency Control
Knowledge Check: Lock-Based Concurrency Control

Summary of User Reviews

The course 'Data in Database' on Coursera has received positive reviews from users. The course is highly recommended for beginners who want to learn about data management, SQL, and database design. One key aspect that many users found good was the practical approach of the course.

Pros from User Reviews

Easy to follow and understand for beginners.
The course covers a variety of topics related to data management, SQL, and database design.
The practical approach of the course helps users to learn and apply the concepts in real-world situations.
The course is well-structured and provides clear explanations of concepts.
The course comes with practice exercises and quizzes to help users reinforce their learning.

Cons from User Reviews

Some users found the course to be too basic and not challenging enough.
The course does not cover advanced topics related to data management, SQL, and database design.
Some users found the course to be too slow-paced and repetitive.
The course may not be suitable for users who already have some knowledge of data management, SQL, and database design.
Some users found the course material to be outdated and not relevant to current industry practices.

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