PROGRAMMING / CODING
The Google Apps Script training course give you a detailed knowledge on coding like Automating data calculation, Fetching and sending data from third party software like Trello & Salesforce, connecting different sheets, Documents and other tools, Setting a trigger based on an event. This course is ideal for someone who use google sheets and have no coding background.
PROGRAMMING / CODING
Duration 4 days – 28 hrs Overview The Introduction to Java with Spring Framework Training Course is designed for developers who have a basic understanding of Java and wish to learn how to build robust and scalable applications using the Spring Framework. This course covers the fundamental concepts of the Spring Framework, including...
PROGRAMMING / CODING
Duration: 5 days – 35 hrs. Overview This Introduction to Java Training course provides extensive experience with the Java language and its object-oriented features. This program will benefit professionals who wish to take the Oracle Certified Java Programmer certification and who want to pursue a career in Java or Android development. It introduces students to Java...
PROGRAMMING / CODING
Duration 4 days – 28 hrs Overview The Introduction to Node.js Training Course is designed for developers who want to learn how to build server-side applications using Node.js. This course covers the fundamental concepts of Node.js, including asynchronous programming, server creation, working with databases, and building RESTful APIs. By the end of the...
PROGRAMMING / CODING
Duration 5 days – 35 hrs Overview In this Python training course, students learn to program in Python. Python is a widely used, open-source programming language that is especially suited for a wide range of applications including web development, machine learning, and data science. This Python training course provides the foundations for you...
PROGRAMMING / CODING
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they've pushed Excel past its limits.

