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Managing Big Data with MySQL

Managing Big Data with MySQL

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.

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  • 32 hours
  • English
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Database Management Essentials

Database Management Essentials

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 Data Warehousing for Business Intelligence specialization. In this 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.

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  • 123 hours
  • English
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  • AED 239.99 + VAT
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Introduction to Databases

Introduction to Databases

In this course, you will be introduced to databases and explore the modern ways in which they are used. Learn to distinguish between different types of database management systems then practice basic creation and data selection with the use of Structured Query Language (SQL) commands.

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  • 27 hours
  • English
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Introduction to Relational Databases (RDBMS)

Introduction to Relational Databases (RDBMS)

Are you ready to dive into the world of data engineering? In this beginner level course, you will gain a solid understanding of how data is stored, processed, and accessed in relational databases (RDBMSes). You will work with different types of databases that are appropriate for various data processing requirements. You will begin this course by being introduced to relational database concepts, as well as several industry standard relational databases, including IBM DB2, MySQL, and PostgreSQL.

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  • 19 hours
  • English
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Building Basic Relational Databases in SQL Server Management Studio

Building Basic Relational Databases in SQL Server Management Studio

In this one-hour based project you will apply the basics of working with relational databases within the SQL Server Management Studio (SSMS) environment.

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  • 3 hours
  • English
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Introduction to SQL and relational databases

Introduction to SQL and relational databases

Get to know relational databases and learn SQL, the standard language used in business software that will allow you to query them and extract the information you need.

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  • English
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Geographical Information Systems - Part 2

Geographical Information Systems - Part 2

This course is the second part of a course dedicated to the theoretical and practical bases of Geographic Information Systems (GIS). It offers an introduction to GIS that does not require prior computer skills. It gives the opportunity to quickly acquire the basics that allow you to create spatial databases and produce geographic maps. This is a practical course that relies on the use of free Open Source software (QGIS, Geoda). In the first part of the course (Geographical Information Systems - Part 1), you explored the basics of land digitization and geodata storage.

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  • 10 hours
  • English
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Java Data Access - SQL Primer

Java Data Access - SQL Primer

This course will introduce the student to the basic concepts of SQL for interaction with Relational Databases. It will illustrate basic SQL statements to create and query tables, leverage table relationships through joins and subqueries, insert and update table rows. It is, however, only intended to cover the basics needed in order for the student to progress onto the Java Database Connectivity (JDBC) and Jakarta Persistence (JPA) courses in the Data Access Specialization.

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  • 9 hours
  • English
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Retrieve Data using Single-Table SQL Queries

Retrieve Data using Single-Table SQL Queries

In this course you’ll learn how to effectively retrieve data from a relational database table using the SQL language. We all know that most computer systems rely on at least one database to store data. Your tax information is stored in the database used by the Internal Revenue Service. Your phone stores your contacts’ names, addresses, email addresses, and phone numbers in a database. If you shop online, you’re viewing photos, descriptions, and prices of products that are stored in a database.

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  • 2 hours
  • English
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IBM Data Analyst Capstone Project

IBM Data Analyst Capstone Project

By completing this final capstone project you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

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  • 21 hours
  • English
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IBM COBOL Data and File Management

IBM COBOL Data and File Management

Welcome to IBM COBOL – Data and File Management! By enrolling in this course, you are taking a big step in increasing your knowledge and hands on experience with IBM COBOL data and file management. In this course, you will learn the fundamental elements of COBOL code. You will learn the process of working with COBOL data. You will learn handling COBOL files. This course also relational databases in a mainframe, COBOL context. So let’s get started!

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  • 17 hours
  • English
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Exam Prep DP-300: Azure Database Administrator Associate

Exam Prep DP-300: Azure Database Administrator Associate

Database administration is one of the basic necessities of every enterprise. The growth of cloud and On-premises relational databases continues to create the need for professional database administrators. Therefore, an updated certification such as DP-300 could open up favorable options for employment of database administrators. The Azure database administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on SQL Server and SQL database services.

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  • 16 hours
  • English
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Developing Applications with SQL, Databases, and Django

Developing Applications with SQL, Databases, and Django

Working with databases is a key skill for developers, especially those in Back-End, Full Stack, and DevOps roles. This course will teach you the fundamentals of relational databases and how to access them from your appli…

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Introduction to Databases for Back-End Development

Introduction to Databases for Back-End Development

Back-end developers write applications that end-users use to interact with databases. Some common tasks that end-users carry out using these applications include storing, searching, extracting and manipulating data. Therefore, it’s essential that all back-end developers possess strong knowledge and experience with how databases work. In this course, you’ll receive an introduction to databases and explore the different ways in which they can be used to store and manage data. You’ll also learn to distinguish between different types of database management systems.

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  • 27 hours
  • English
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IBM Data Engineering

IBM Data Engineering

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months. Data engineering is building systems to gather data, process and organize raw data into usable information.

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  • English
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Data Engineering Foundations

Data Engineering Foundations

Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field.

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  • English
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Data Science with Databricks for Data Analysts

Data Science with Databricks for Data Analysts

This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among other…

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Create a Database with the Modeling Tool in MySQL Workbench

Create a Database with the Modeling Tool in MySQL Workbench

In this project you will use the Modeling and Design Tool in MySQL Workbench to design and create a multiple-table relational database. As a DBMS (database management system), MySQL is used by many organizations for managing a variety of types and sizes of databases. MySQL Workbench acts as an integrated development environment allowing users to work with relational databases using a visual user interface rather than the command line.

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  • 3 hours
  • English
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Applied Data Science with R

Applied Data Science with R

This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data

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Databases for Data Scientists

Databases for Data Scientists

Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you! We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development.

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Database systems

Database systems

This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems.

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  • English
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Data Science Fundamentals with Python and SQL

Data Science Fundamentals with Python and SQL

Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.

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Introduction to Data Science

Introduction to Data Science

Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field. This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions.

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Data Collection and Integration

Data Collection and Integration

The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and packages, such as Pandas, Beautiful Soup, and SQL, to effectively handle real-life datasets and address data integration challenges.

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  • 28 hours
  • English
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Microsoft Azure Data Fundamentals DP-900 Exam Prep

Microsoft Azure Data Fundamentals DP-900 Exam Prep

This Specialization is intended for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Through five courses, you will prepare to take the DP-900 exam. This program will prepare you to take up Data Engineer, Data Analyst, and Database Administrator roles. You will explore the roles, tasks, and responsibilities in the world of data.

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