C Programming Language
0 EGP
C Programming Language
This course is designed to provide complete knowledge of C language . /it is designed for students who are interested in developing programming for any operating system, Language Compilers, Assemblers, Editors, Print Spoolers, Network Drivers, Modern Programs, Databases, Language Interpreters, Utilities, Students will be able to develop logics which will help them to create programs, applications in C Also, by learning the basic programming constructs they can easily switch over to any other language in future.
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C# Programming language
This course is designed to provide complete knowledge of C# language , C# is designed for students who are interested in developing web applications and Desktop applications, games and much more. / C# is designed for Common Language Infrastructure (CLI), which consists of the executable code and runtime environment that allows use of various high-level languages on different computer platforms and architectures. / C# is a lot similar to Java syntactically and is easy for the users who have knowledge of C, C++ or Java.
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C++ Programming language
This course is designed to provide a complete knowledge of C++ language, C++ Programming is intended for software engineers, systems analysts, program managers and user support personnel who wish to learn the C++ programming language.
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R Programming Language
This course is designed to provide a complete knowledge of R language, R is a programming language and free software, R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few, R allows integration with the procedures written in the C, C++, .Net, Python or FORTRAN languages for efficiency.
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AWS Certified Data Analytics – Specialty
In late 2019, AWS announced they would be renaming the AWS Big Data Specialty certification to the AWS Data Analytics – Specialty certification. There are some carryover topics with these changes, but many of the topics are brand new and more in-depth. This course is designed to teach you the new services and tools you can use in AWS to build data analytics applications, as well as build and manage the lifecycle of collecting, storing, processing, and visualizing your data. / This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data. / Who should take this course? / AWS Certified Data Analytics – Specialty is intended for individuals with experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions. Before you take this exam, we recommend you have: Five years of experience with common data analytics technologies / Two years of hands-on experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions / Ability to define AWS data analytics services and understand how they integrate with each other / Ability to explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization /
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AWS Certified Developer - Associate (DVA-C01)
This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Developer – Associate validates the ability to write and deploy cloud-based applications. / This course is for intermediate-level students and begins with an overview of the fundamentals of cloud computing. It then moves you through an in-depth curriculum on developing, deploying, and maintaining applications — especially serverless ones — on AWS. / Who should take this course? AWS Certified Developer – Associate is intended for anyone with one or more years of hands-on experience developing and maintaining an AWS-based application. Before you take this exam, we recommend you have: In-depth knowledge of at least one high-level programming language / Understanding of core AWS services, uses of the services, and basic AWS architecture best practices, including the AWS Shared Responsibility Model, application lifecycle management, and the use of containers in the development process / Proficiency in developing, deploying, and debugging cloud-based applications using AWS and writing code for serverless applications / Ability to identify key features of AWS services and use the AWS service APIs, AWS CLI, and SDKs to write applications / Ability to apply a basic understanding of cloud-native applications to write code / Ability to author, maintain, and debug code modules on AWS
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