Data Science & Analytics Programmes

This course offers you the opportunity to engage in big data and computational projects. Big data processing helps scientists, academics and market customers to make smarter and easier decisions by leveraging previously unusable or unavailable data.

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This course introduces the fundamentals of programming, specifically on how it can be used in Data Science.

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This course allows the participant to learn the best practises in the effective processing of records.

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This course will educate you about the principles and resources and technology of business intelligence systems.

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This course will let the participant to learn to use apply behavioral science and science media to marketing analytics.

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This course equips you with the skills needed to use data to explain business performance, evaluate business decisions, and solve problems in a structured manner.

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This course you will learn the necessary knowledge and skills to apply machine learning to data analysis and automation.

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In this course the participants will discover more ML algorithms and understand the logic behind these ML algorithms. The participants will also learn how to build state-of-the-art solutions by designing algorithms and carrying out experiments.

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This course will teach you to use a methodology in your research related to data science and analytics to make the process more organised and efficient.

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This course equips students with the knowledge to analyze and interpret the results of the datasets gathered.

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This course you will learn how to apply and interpret multivariate statistical methods to research and business data.

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This course will give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments.Analyzing Big Data with Microsoft R is designed to help R users learn to process, query, transform and summarize, and build models on large datasets using Microsoft R Server’s RevoScaleR package. This course takes a use-case-based approach by walking through a knowledge discovery and data mining example using MRS.

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Duration: 3 days

This course is a 5-day course is to give students the ability to analyze and present data by using Azure Machine Learning. In this course, participants will learn how to use the data science tools and machine learning tools in Microsoft Azure Platform to create a machine learning model and deploy it as an application or website.

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Duration: 5 days

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

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Duration: 3 days

This course teaches the fundamentals of Big Data, design and implementation of Big Data solutions.Rocheston Certified Big Data Analyst course is designed to teach the fundamentals of Big Data, design and implementation of Big Data solutions. The comprehensive modules give an in-depth understanding of key tools and systems for working with Spark, Hadoop and Azure, and implementation of NoSQL data storage and processing solutions. The program will teach you to process real-time data streams and implement real-time big data analytics solutions.

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Duration: 5 days