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Big Data Analytics

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Course Report - Big Data Analytics

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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Course Features

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Duration

100 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Instructor Paced

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Video Content

100 hours

Course Description

IBM's Big Data tools will help you learn how to manage Big Data and gain valuable insights. Learn how to manage and access data using technologies such as Hadoop and Spark, which are used by IBM BigInsights products.

Big Data refers to data that is too large to be handled with traditional techniques. Big Data presents new challenges in storing, retrieving and manipulating it. You will begin with a program that explains the basics of Big Data. Next, you'll explore Big Data using IBM's extensive collection of items and other open-source tools. These strategies and tools will allow you to manage Big Data and gain valuable insight by leveraging these strategies and tools.

Course Overview

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Live Class

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Virtual Labs

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Job Assistance

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Human Interaction

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International Faculty

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Post Course Interactions

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Industry Exposure,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

This Course is for those who are interested in becoming familiar with the concept of big data

What You Will Learn

Learn to handle Big Data and derive valuable insights with IBM's Big Data tools You are going to learn the right way to store, manage, access data

Learn to handle Big Data and derive valuable information with technologies like Hadoop and also Spark as applied by the IBM BigInsights products

Target Students

Professionals

Course Instructors

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Dr. Deepika Sharma

Training Head, Datatrained

Research Scientist with a PhD in computer science and 10+ years of hands-on experience.
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Asma Desai

Developer, IBM

Asma Desai just recently started with IBM. She has developed course content for introductory Java and graph theory. Prior to course development, she worked as a consultant using Big Data to fight fraud.
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Aaron Ritchie

Information Management, IBM

Aaron Ritchie has worked in the Information Management division of IBM for over 8 years and has held a variety of roles within the Center of Excellence and Education groups. Aaron has worked as an IT...
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Daniel Tran

Technical Curriculum Developer, IBM

Daniel Tran is an IBM Co-op Student working as a Technical Curriculum Developer in Toronto, Ontario. He develops courses to improve the education of customers who seek knowledge in the Big Data field.
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Corporate Sponsors

Course FAQs

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What if I don’t have a technical background or programming knowledge?

Do I need to leave my job for this program?

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What if I miss a live online class?

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