COURSES OFFERED BY MCAL GLOBAL

The “Master Business Analysis Training” is our flagship business analyst course. We have trained 1000s of professionals on the business analysis processes, concepts, tools, techniques, best practices, business analyst certification, and software tools via this program.

In Python machine learning live online training course, you will learn to leverage Python to solve machine learning problems. You will learn about the most effective machine learning techniques, and their practical implementation through a hands-on approach.

The course will provide in-depth hands-on of various core concepts like Selenium Web drivers, Junit, TestNG, JavaScript Executors, Exception Handling, Logging, Reporting and various Frameworks techniques such as Data-driven, Hybrid, Page Object Model (POM).

Blockchain technology is in huge demand across the world and there are very few trained professionals available. So learning Blockchain technology right now can give you an immediate boost in your career. You can tap this opportunity with our comprehensive.

Who are our instructors and how are they selected?DevOps certification live online training is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class.

MCAL announces first of its kind “Internet of Thing” training and workshop in India. Our endeavor is to impart skills those are highly in demand and will become Industry’s new big thing in the coming years.

This Deep learning course will take you through the state of the art methods and techniques currently used by the industry stalwarts in data science applications. It’s holistic curriculum is well suited for the participants willing to make a career in the sphere of Deep learning.

Cassandra is emerging as one of the most powerful Big Data stores. it is often seen as a replacement for RDBMS but nothing can be farther than truth. Cassandra is a No-SQL database designed to store Terabytes of data in memory and provide less-than-50-milliseconds response to SQL like queries.

Data ingestion is an art and science in itself. Ingesting data effectively into a Hadoop cluster or any other data store, requires a good understanding of the source and sink with an ability to configure data pipelines.