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Our Courses
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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Course by
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Self Paced
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3 hours
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English
Importing Data in the Tidyverse
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources.
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Course by
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Self Paced
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15 hours
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English
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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Course by
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Self Paced
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10 hours
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English
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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Course by
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Self Paced
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9 hours
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English
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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Course by
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Self Paced
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2 hours
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English
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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Course by
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Self Paced
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21 hours
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English
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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Course by
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Self Paced
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17 hours
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English
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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Course by
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Self Paced
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16 hours
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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27 hours
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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Self Paced
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English
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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Course by
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English
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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Course by
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28 hours
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English
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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Course by
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Self Paced
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English
BI Foundations with SQL, ETL and Data Warehousing
The job market for business intelligence (BI) analysts is expected to grow by23 percent from 2021 to 2031 (US Bureau of Labor Statistics). This IBM specialization gives you sought-after skills employers look for when recruiting for a BI analyst. BI analysts gather, clean, and analyze key business data to find patterns and insights that aid business decision-making. During this specialization, you’ll learn the basics of SQL, focusing on how to query relational databases using this popular and powerful language. You’ll use essential Linux commands to create basic shell scripts.
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Course by
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Self Paced
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English
Geographical Information Systems - Part 1
This course is organized into two parts presenting the theoretical and practical foundations of geographic information systems (GIS). - Together theses courses constitute an introduction to GIS and require no prior knowledge. - By following this introduction to GIS you will quickly acquire the basic knowledge required to create spatial databases and produce high-quality maps and cartographic representations. - This is a practical course and is based on free, open-source software, including QGIS. If you study or work in the fields of land management or the analysis of geographically distributed
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Course by
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Self Paced
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20 hours
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English
Database Structures and Management with MySQL
Develop a working knowledge of the MySQL database management system (DBMS). Gain DBMS skills such as data creation, querying and manipulation. You’ll gain further experience with SQL statements, clauses and data types.
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Course by
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Self Paced
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32 hours
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English
CRUD Operations using MongoDB NoSQL
Unlike relational databases, NoSQL databases such as MongoDB store data as collections of fields, rather than rows and columns.
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Course by
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Self Paced
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3 hours
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English