BIG DATA ANALYTICS

Learn how to manipulate data in meaningful ways and provide business insights to enable stakeholders make an informed decision.

Motivation

Big Data Analytics describes the process of uncovering information such as hidden patterns, market trends, customer preferences and correlations in large amounts or raw data to help organizations make data-informed decisions.

This program is designed through our thorough academic research and industry expertise of data science and machine learning practitioners. This course provides students with the ability to explore data insights and build state-of-the-art learning systems.

Motivation

Big Data Analytics describes the process of uncovering information such as hidden patterns, market trends, customer preferences and correlations in large amounts or raw data to help organizations make data-informed decisions.

This program is designed through our thorough academic research and industry expertise of data science and machine learning practitioners. This course provides students with the ability to explore data insights and build state-of-the-art learning systems.

OUR APPROACH

Our approach is to facilitate learning with applicable real-life projects. Our industry experts will meticulously guide you through both our e-learning & e-work experience, using today’s frameworks, learn-tools to aid academic journey.

LIVE ONLINE SESSION

VIDEO LECTURES​

REAL WORLD APLICATION PROJECTS​

QUIZZES AND ASSIGNMENTS​

LIVE ONLINE SESSION

VIDEO LECTURES​

REAL WORLD APLICATION PROJECTS​

QUIZZES AND ASSIGNMENTS​

LIVE ONLINE SESSION

VIDEO LECTURES​

REAL WORLD APLICATION PROJECTS​

QUIZZES AND ASSIGNMENTS​

Pre-requisites


Candidates are expected to have mathematical and statistics background.

Industry Certification


You will be awarded industry certificate upon successful completion.

Pre-requisites


Candidates are expected to have mathematical and statistics background.

Industry Certification


You will be awarded industry certificate upon successful completion.

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