Best way to learn SQL Database courses & Online Tutorials to Learn Database courses for beginners to advanced level.
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Database Courses is a systematic collection of data. Databases support storage and manipulation of data. Databases make data management easy. Let's discuss few examples. An online telephone directory would definitely use database to store data pertaining to people, phone numbers, other contact details, etc.
Your electricity service provider is obviously using a database to manage billing , client related issues, to handle fault data, etc. Let's also consider the facebook. It needs to store, manipulate and present data related to members, their friends, member activities, messages, advertisements and lot more.
Top Database Courses and Best way to learn Sql
- Learn Database Courses Design with MySQL
- Database Courses and SQL for Data Science
- Build MySQL Databases Courses Bootcamp (Beginner to Expert Course)
- SQL Crash Course for beginners - Learn SQL with MySQL
- The Complete Oracle SQL Certification Course
- MongoDB - The Complete Developer's Guide
- Advanced SQL : SQL Expert Certification Preparation Course
- Using Database with Python
- Database Management Essentials
- Building Database Applications in PHP
- Distributed Database Systems
- Database Courses
- Database Online Courses
- Database Courses
A Complete Course to Master Database Course Design using MySQL.
⭐ : 4.2 (3,827 ratings)
With this Database course, you will:
- To Learn Database design Process
- To Learn Database Normalization
- To Learn Database development using MySQL
- To Master SQL
- To Learn to use PHP with MySQL
Database Course design is one of the most important aspects of Web programming. Successful implementation of any system with Data Storage will always need proper database design. In order to create great database design you will not only have to master the Database technology but will have to master database design process and normalization. This course will teach you the nuances of proper database design. It will teach you all the hidden tips and tricks and will ensure that you learn all the major concepts of a proper database design. This course will also teach you SQL and you will be a SQL power user by the end of this course. You will start with basic introduction to data storage and will follow it up with storage engines and other tools. You will also learn about MySQL installation and database design process. Database design , normalization, structure mapping, keys and junction tables comes next. The next units will teach you SQL and Advance SQL and you will also learn to use PHP with MySQL. So this complete Database course and will surely help you become a Database Design Guru.
You can take Learn Database Course Design with MySQL Certificate Course on Udemy.
Learn Database Course and SQL for Data Science from IBM. Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working.
⭐ : 4.7 (5,395 ratings)
With this Database course, you will:
- Create and access a database instance on cloud
- Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
- Filter, sort, group results, use built-in functions, access multiple tables
- Access databases from Jupyter using Python and work with real world datasets
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real database course, real data science tools, and real-world datasets. You will create a database instance in the cloud.
Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate. In Week 1 you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database. By the end of this module you will: (1) earn how to use string patterns and ranges to search data, how to sort and group data in result sets, as well as (2) learn how to work with multiple tables in a relational database using join operations. After completing the lessons in this week, you will learn how to explain the basic concepts related to using Python to connect to databases and then create tables, load data, query data using SQL and analyze data using Python As a hands-on Data Science assignment, you will be working with multiple real world datasets for the city of Chicago. You will be asked questions that will help you understand the data just like a data scientist would. You will be assessed both on the correctness of your SQL queries and results.
You can take Database Course and SQL for Data Science Certificate Course on Coursera.
Become an In-demand SQL Master by creating complex database Course and building reports through real-world projects.
⭐ : 4.6 (25,946 ratings)
With this database course, you will:
- Create your own database course or interact with existing databases
- Write complex SQL queries across multiple tables
- Build a web app using NodeJS and MySQL
- Model real-world data and generate reports using SQL
- Answer company performance or sales questions using data
- Learn the ins and outs of SQL syntax
- Generate reports using sales and user data Analyze data using Aggregate Functions
- Run complex queries using MySQL logical operators and string functions
- Write all the common SQL joins
- Work with large datasets containing thousands of entries
- Build a web app using MySQL and NodeJS
- Design and implement complex database schemas
- Learn to navigate the treacherous world of storing dates and times
- Clone the database structure of a photo sharing social network
This course is a gentle but comprehensive introduction to MySQL, one of the most highly in-demand skills in the business sector today. Whether you work in sales or marketing, you run your own company, or you want to build your own apps, mastering MySQL is crucial to answering complex business problems and questions using insights from data. The Ultimate MySQL Bootcamp introduces you to a solid foundation in database in a way that’s both informative and engaging. This course is also chock full of exercises, challenges, projects, and opportunities for you to practice what you’re learning.
You can take Build MySQL Database Course Bootcamp (Beginner to Expert Course) Certificate Course on Udemy.
Master the SQL statements that every software developer or data analyst needs for designing and developing database course
⭐ : 4.8 (36 ratings)
With this database course, you will:
- Dozens of targeted exercises with full explanations and solutions from beginner level right up to advanced.
- Every SQL statement you need is covered thoroughly
- Straight to the point, no time wasted
- Every module contains information and activities that are relevant to real-life jobs or the kind of tasks you may get on interview
Big database course are everywhere these days. Facebook, Netflix, Uber, Airbnb use SQL-driven databases - to name just a few. So, to be a successful developer or data scientist you need to know SQL inside-out. But - SQL can seem complicated. Especially if you’re a beginner or more familiar with other programming languages. SQL isn’t complicated or at least it doesn’t need to be, so long as you learn it the right way. Problem is too many other courses out there jump around, skipping important concepts or simply teaching things badly. That’s why this course goes further than most. You’ll get in-depth knowledge and skills that are built-up sequentially to make sure you don’t have any gaps.
You can take SQL Crash Course for beginners - Learn SQL with MySQL Certificate Course on Udemy.
Don't just learn the SQL Language, Become Job-Ready and Launch Your Career as a Certified Oracle SQL Developer.
⭐ : 4.5 (11,810 ratings)
With this database course, you will:
- Become Job Ready to Start Contributing as Database Developer Day 1
- Pass the Oracle SQL Fundamentals Examinations
- Program in the SQL Language to solve a variety of Database Problems
- Be a SQL Ninja and understand how the Oracle Database Works
This database course will prepare you to be job-ready in just 1 month of study and practice. All exercises and solutions are in the lectures. In several lectures I ask students to pause the video and complete the assignment before resuming to watch my solution.
You can take The Complete Oracle SQL Certification database Course Certificate Course on Udemy.
Master MongoDB Development for Web & Mobile Apps. CRUD Operations, Indexes, Aggregation Framework - All about MongoDB.
⭐ : 4.6 (3,576 ratings)
With this database course, you will:
- Use MongoDB to its full potential in future projects
- Write efficient and well-performing queries to fetch data in the format you need it
- Use all features MongoDB offers you to work with data efficiently
MongoDB is one of the most important database course you can work with these days. It's extremely popular and MongoDB developers are in high demand. No matter if you're building web applications, mobile applications or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently and minimizing complexities whilst optimizing performance are crucial tasks. MongoDB makes working with data simple - it's built on a philosophy that prioritizes performance and efficiency. In this course, you'll learn all about MongoDB from scratch. No prior MongoDB or database experience is required.
You can take MongoDB - The Complete Developer's Guide Certificate Course on Udemy.
Complete Your SQL Knowledge From Intermediate to Advanced Level and Get Your SQL Expert Certificate in Oracle.
⭐ : 4.2 (1,026 ratings)
With this database course, you will:
- All the advanced subjects that you need for SQL Expert Certification
- Learn Advanced SQL Query with Hundreds of Examples!
- Write, Read, Analyze Any Advanced SQL Codes Easily
- Learn Advanced SQL Functions in Oracle
- SQL Functions in Oracle Regular Expressions
- Introducing Database Course
- Creating and Using Indexes
- Creating and Using Views
- Creating and Using Synonyms
- Creating and Using Sequences
- Data Dictionary Views
- Using Advanced Subqueries
- Generating (Dynamic) SQL Scripts
- Advanced Data Manipulations
- Advanced Aggregation Techniques
- Windowing functions for working with ordered data sets
- Lifetime Support from the Authors
- Working Materials
Oracle has two Certification Exams for SQL; The first one (SQL Fundamentals) covers the basic subjects (All of these subjects are covered in my first course.) The second one (SQL Expert) covers more advanced subjects including the basic ones. (All the advanced subjects (and more) for this exam are covered in this course.) All the subjects are explained in detail, and exampled as many as I can do with Oracle's HR schema. You can check the subjects from Oracle's related pages.
You can take Advanced SQL : SQL Expert Certification Preparation Course Certificate Course on Udemy.
Learn Using Databases with Python from University of Michigan. This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database course design for storing data as part of a multi-step data gathering.
⭐ : 4.8 (13,148 ratings)
With this database course, you will:
- Outline the composition of the Arduino development board
- Explain the basics of Object Oriented Python
- Understand how data is stored across multiple tables in a database course
- Use the Create, Read, Update, and Delete operations to manage database course
- Utilize the Google Maps API to visualize data
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. This course covers Python 3. To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology. We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database. In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database. In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses. In this section, we put it all together, retrieve and process some data and then use the Google Maps API to visualize our data.
You can take Using Databases with Python Certificate Course on Coursera.
Learn Database Management Essentials from University of Colorado System. Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire.
⭐ : 4.6 (1,673 ratings)
In this database course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL. Module 1 provides the context for Database Management Essentials. When you’re done, you’ll understand the objectives for the course and know what topics and assignments to expect. Keeping these course objectives in mind will help you succeed throughout the course! You should read about the database software requirements in the last lesson of module 1. recommends that you try to install the DBMS software this week before assignments begin in week 2. We’ll launch into an exploration of databases and database technology and their impact on organizations in Module 2. We’ll investigate database characteristics, database technology features, including non-procedural access, two key processing environments, and an evolution of the database software industry. This short informational module will ensure that we all have the same background and context, which is critical for success in the later modules that emphasize details and hands-on skills. Now that you have the informational context for database features and environments, you’ll start building!
In this module, you’ll learn relational data model terminology, integrity rules, and the CREATE TABLE statement. You’ll apply what you’ve learned in practice and graded problems using a database management system (DBMS), either Oracle or MySQL, creating tables using the SQL CREATE TABLE statement and populating your tables using given SQL INSERT statements. This module is all about acquiring query formulation skills. Now that you know the relational data model and have basic skills with the CREATE TABLE statement, we can cover basic syntax of the SQL SELECT statement and the join operator for combining tables.
SELECT statement examples are presented for single table conditions, join operations, and grouping operations. You’ll practice writing simple SELECT statements using the tables that you created in the assignment for module 3. Now that you can identify and use the SELECT statement and the join operator, you’ll extend your problem solving skills in this module so you can gain confidence on more complex queries. You will work on retrieval problems with multiple tables and grouping.
In addition, you’ll learn to use the UNION operator in the SQL SELECT statement and write SQL modification statements. Module 6 represents another shift in your learning. In previous modules, you’ve created and populated tables and developed query formulation skills using the SQL SELECT statement. Now you’ll start to develop skills that allow you to create a database design to support business requirements. You’ll learn basic notation used in entity relationship diagrams (ERDs), a graphical notation for data modeling. You will create simple ERDs using basic diagram symbols and relationship variations to start developing your data modeling skills. Module 7 builds on your knowledge of database development using basic ERD symbols and relationship variations. We’ll be practicing precise usage of ERD notation and basic problem solving skills. You will learn about diagram rules and work problems to help you gain confidence using and creating ERDs. In Module 8, you’ll use your ERD notation skills and your ability to avoid diagram errors to develop ERDs that satisfy specific business data requirements. You will learn and practice powerful problem-solving skills as you analyze narrative statements and transformations to generate alternative ERDs. Now that you have practiced data modeling techniques, you’ll get to wrestle with narrative problem analyses and transformations for generating alternative database designs in Module 9.
At the end of this module, you’ll learn guidelines for documentation and detection of design errors that will serve you well as you design database course for business situations. Modules 6 to 9 covered conceptual data modeling, emphasizing precise usage of ERD notation, analysis of narrative problems, and generation of alternative designs. Modules 10 and 11 cover logical database design, the next step in the database development process. In Module 10, we’ll cover schema conversion, the first step in the logical database design phase. You will learn to convert an ERD into a table design that can be implemented on a relational DBMS. Module 11 covers normalization, the second part of the logical database design process. Normalization provides tools to remove unwanted redundancy in a table design. You’ll discover the motivation for normalization, constraints to reason about unwanted redundancy, and rules that detect excessive redundancy in a table design. You’ll practice integrating and applying normalization techniques in the final lesson of this course.
You can take Database Management Essentials Certificate Course on Coursera.
Learn Building Database Applications in PHP from University of Michigan. In this course, we'll look at the object oriented patterns available in PHP. You'll learn how to connect to a MySQL using the Portable Data Objects (PDO) library and issue.
⭐ : 4.9 (3,41 ratings)
You can take Building Database Applications in PHP Certificate Course on Coursera.
Learn Distributed Database Systems from Arizona State University. The increased capabilities of a collection of logically interrelated databases distributed over a computer network enable scalable data processing.
⭐ : 4.0 (34 ratings)
The increased capabilities of a collection of logically interrelated databases distributed over a computer network enable scalable data processing. This course addresses the components of these systems, covering the following main topics: distributed database architectures, distributed data storage and indexing, distributed and parallel query processing/optimization, and concurrency control in distributed Parallel Database Systems.
You can take Distributed Database Systems Certificate Course on Coursera.
12. Database Course Online
Learn how to use database like SQL servers, Microsoft Access, FileMaker Pro, and more. Understand fundamentals like the MySQL language, then learn to execute CRUD routines as well as triggers, functions, and stored procedures.
You can take Database Online Courses Certificate on LinkedIn Learning.
This section includes the complete set of tools and technologies for working with the most popular database systems. Here you will learn about Oracle PL/SQL, SQL Server, SQL Developer, SQL database administrator, installation of SQL server, clustering and more. The training courses include learning the architecture of database, database structures, schema objects and other aspects. You will master the aspects of scaling the database, moving it to the cloud, deploying queries, sub-queries, joins and more. The entire training is in line with the industry certifications.
You can take Database Certification Training Courses on Intellipaat.
14. Database Course
"Database Course" was one of Stanford's three inaugural massive open online courses in the fall of 2011. The course is now being offered as a set of smaller self-paced "mini-courses", which can be assembled in a variety of ways to learn about different aspects of database. All of the mini-courses are based around video lectures and/or video demos. Many of them include in-video quizzes to check understanding, in-depth standalone quizzes, and/or a variety of automatically-checked interactive programming exercises. Each mini-course also includes a discussion forum and pointers to readings and resources. Individual mini-courses can be accessed by selecting the title from the dropdown list above. The mini-courses are described briefly below, along with suggested pathways through them. Taught by Professor Jennifer Widom, the overall curriculum draws from Stanford's popular Databases course.
Database course are incredibly prevalent they underlie technology used by most people every day if not every hour. Database reside behind a huge fraction of websites; they're a crucial component of telecommunications systems, banking systems, video games, and just about any other software system or electronic device that maintains some amount of persistent information. In addition to persistence, database systems provide a number of other properties that make them exceptionally useful and convenient: reliability, efficiency, scalability, concurrency control, data abstractions, and high-level query languages. Databases are so ubiquitous and important that computer science graduates frequently cite their database class as the one most useful to them in their industry or graduate-school careers.
You can take Database Certificate Course on Stanford Online.
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