|Course or Certification Name||Category||Location||Mode of learning|
|Database Management Essentials||Relational Databases||Online self study|
|MS SQL Server 2016 Database Administration Certification Training||MS Sql Server Administration||Online self study|
|Database Systems Concepts & Design by Georgia Tech||MS Sql Server Administration||Online self study|
|PG Diploma in Data Science (Full-time)||Data Science||Classroom|
|Big Data Engineer Course||Big Data||Offline self study|
|Microsoft Office 2010: Advanced Access||MS Office||Online self study|
|Online M.Sc - IT||MSc IT||Online self study|
|70-462 Administering Microsoft SQL Server 2012 Databases||MS Sql Server Administration||Online self study|
|SQL, NoSQL, Big Data and Hadoop||NO SQL Databases||Online self study|
|Oracle Database 11g: Security||MS Sql Server Administration||Online self study|
|PG Diploma in Data Science (Part-Time)||Data Science||Classroom|
|NoSQL||NO SQL Databases||Online self study|
|Relational Database Support for Data Warehouses||Relational Databases||Online self study|
|Diploma in .NET Technologies||Emerging Web Technologies||Classroom|
|NoSQL Course Training- MongoDB Developer||NO SQL Databases||Online self study|
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. 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. Weâ€™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.
This instructor-led official course by Microsoft, provides students the required knowledge for SQL Server 2016 databases administration and maintenance. SQL server is a well-known relational database management system by Microsoft. Built on top of the Structured Query Language (SQL), MS SQL Server supports business intelligence, transaction processing, and analytics applications. This course from SSDN Technologies, a partner to Microsoft, helps professionals to develop apps that are needed in content delivery from SQL Server databases.
This course presents an example of applying a database application development methodology to a major real-world project.
PG DIPLOMA IN DATA SCIENCE FROM MANIPAL UNIVERSITY. It is a fully-residential program based in Bangalore. | Course Benefits: | Become A Data-Scientist - Launch your career in data science by mastering Data Management, Statistics, Machine-Learning and Big-Data. | Tool Based Learning - Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm. | Assured Placement Assistance Assured placement assistance with leading organisations on successful completion of the course. | Industry collaborations - The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University. | Best of Faculty - The course is taught by the best minds in the Analytics domain with over 15+ years of industry & analytics domain experience.
This Big Data Engineer Masterâ€™s Program in collaboration with IBM provides training on the popular skills required for a successful career in data engineering. Master the Hadoop Big Data framework, leverage the functionality of Apache Spark with Python, simplify data lines with Apache Kafka and use the database management tool MongoDB to store data.
Microsoft Office Access 2010 is a database management system from Microsoft and offers several advanced options for importing and exporting data. Microsoft Office 2010: Advanced Access course is designed with the aim to provide training on various methods of importing, exporting, and linking to external data sources in Access 2010, such as other Access databases, SQL Server databases, Excel spreadsheets, Microsoft Word files, and XML files. This course also covers various topics like PivotTables and PivotCharts, managing data efficiently, SQL, Action queries, Macros, SharePoint,VBA and other related areas.
A rigorous two-year (4semesters) program designed to prepare graduates for varied career opportunities in Information Technology. | From database management system, software engineering, networking fundamentals, object oriented programming, and data structure using C language to routing protocols& concepts, emerging technologies, and network planning & design â€“ the course covers important concepts, practices, and trends in the subject area. | The course teaches various methodologies and life cycles involved in developing software applications and conducting scientific research. | The course provides high-quality academic and technical training in software, databases, and networking with deep focus on the mathematical and theoretical foundations of computing. | Given its scope, the program will benefit anybody (with a graduation degree) seeking to develop skills, improve competency, and build expertise in the subject.
This course is aligned with Microsoft Certified Solution Associate (MCSA): SQL Server 2012/2014, Microsoft Certified Solutions Expert (MCSE): Business Intelligence & Data Platform | SQL Server 2012 is a relational database management system (RDBMS) developed by Microsoft and is one of the most popular RDBMS in the industry.| This 70-462: Administering Microsoft SQL Server 2012 Databases course offers training and necessary skills to candidates to perform daily installation, maintenance, and configuration tasks | The course has been designed by best-in-the-industry experts and offer quality learning modules | Providing career advancement to candidates, the course covers a plethora of topics related to Microsoft SQL Server 2012 like security management, managing indexes, backing up, database monitoring and other related areas | A course-completion certification is awarded to the candidates
This course covers almost all classes of databases or data storage platform there are and when to consider using them. It is a great journey through databases that will be great for software developers, big data engineers,Â data analysts as well as decision makers. It is not an in-depth look into each of the databases but promises to get you up and running with your first project for each class.
Oracle Database is an object-relational database management system produced and marketed by Oracle Corporation. With the objective that every business should identify security threats and concerns and develop policies to protect itself, Oracle Database 11g: Security course aims at providing the candidates with detailed learning modules that will train them on standard security practices related to maintaining integrity of, protecting and controlling data. Database professionals can enhance their skills on how to configure Oracle Database 11g in a secure manner through this course. It also offers comprehensive training on a wide array of topics related to Oracle Database security like proxy authentication, database encryption, Oracle Label Security, Data Masking Pack, Firewalls, SQL*Plus Security, and other related areas. The prerequisite for this course is that learner should have working experience with Oracle Database 11g or have taken the Oracle Database 11g: Administration I and Oracle Database 11g: Administration Workshop II courses.
PG DIPLOMA IN DATA SCIENCE FROM MANIPAL UNIVERSITY. Face to Face classes in Bangalore during the weekends. | Course Benefits: | Become A Data Scientist - Launch your career in data science by mastering Data Management, Statistics, Machine Learning and Big Data. | Tool Based Learning - Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm. | If you are looking to switch careers, get a chance to work in a leading organization with assured placement assistance. | Industry collaborations - The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University. | Best of Faculty - The course is taught by the best minds in the Analytics domain with over 15+ years of industry & analytics domain experience.
Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.
.NET is a platform that allows a developer to make intelligent applications with interoperability across platforms, that too in a limited timeframe. The .NET platform also known as the .NET Framework enables innovation in enterprise application development and deployment. The course sharpens the ability on database connected technologies such as ADO.NET and trains in developing web as well as desktop applications using the .NET framework.
Over the past few years, the dominance of relational database is getting down. This is due to the arising of a new type of database known as NoSQL training database. NoSQL means Not Only SQL. It is a new way of thinking about a database. NoSQL is a non-relational database management systems which are quite different from traditional database management systems. It is a large distributed database system that helps in analysis of high volume and disparate data types. NoSQL training databases are sometimes referred to as cloud databases. NoSQL training has become the first alternative to relational databases because of its features like scalability, availability and fault tolerance. NoSQL has a flexible schema model | NoSQL training handles any type of unstructured, messy and unpredictable data. NoSQL does not require SQL to analyze the data.