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DATA SCIENCE
Course Customization Options To request a customized training for this course, please contact us to arrange.
DATA SCIENCE
Course Customization Options To request a customized training for this course, please contact us to arrange.
CLOUD COMPUTING
Systems Administrators and DevOp Engineers have always been charged to do more with less. Defining infrastructure in code and automating its deployment helps improve operational efficiency and lower administrative overhead. In this course, Terraform - Getting Started, you'll learn foundational knowledge of Hashicorp's Terraform software, a toolset for infrastructure automation.
Course Customization Options To request a customized training for this course, please contact us to arrange.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Machine learning is revolutionizing industries by enabling predictive analytics and automation. Our Machine Learning using Python with R course provides hands-on experience in building machine learning models, applying statistical techniques, and analyzing data. Participants will learn to implement regression algorithms, neural networks, and decision trees using Python and R. By the end of this course, you will be proficient in Machine Learning using Python with R, allowing you to extract valuable insights from data and drive business success.
DATA SCIENCE
Course Customization Options To request a customized training for this course, please contact us to arrange.
CYBER SECURITY
Nowadays the web applications are playing an important role in our IT world, that’s why securing the web applications and its environment in now more important than ever, the course helps students to understand the technologies that are being used under the different services and systems so that they are able to make informed decisions when choosing a cloud vendor. The course also covers the different types of cloud products, their working, their benefits and the migration process to the cloud. The Web Application security course enables the students to establish industry acceptable auditing standards with current best practices and policies specifically for the web applications and cloud environment. The students can learn, implement and penetration test the concepts taught in this course in real-world scenarios.
This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.