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Big Data Bundle

Becoming a Data scientist is the very good inspiration but do you know what problem are you going to solve. Your job will demand highly creative and thinking process that can make or break your career...

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  • English

Course Description

Becoming a Data scientist is the very good inspiration but do you know what problem are you going to solve. Your job will demand highly creative and thinking process that can make or break your career. As a professional data scientist, you will be bombarded with a huge data volume with veracity, velocity and variety. It is not enough to know statistical modelling , but equally important to underst...

Becoming a Data scientist is the very good inspiration but do you know what problem are you going to solve. Your job will demand highly creative and thinking process that can make or break your career. As a professional data scientist, you will be bombarded with a huge data volume with veracity, velocity and variety. It is not enough to know statistical modelling , but equally important to understand the business context. Business is driven by 3 cardinal principles that is Enhance revenue, Optimize cost and enhance customer experience. All these three put together raises the stakeholders’ value. The deluge of Big data can be applied in all these three areas. It is most necessary to understand the industry perspective of big data with use cases. In this big data science certification course bundle, you will learn about: 1- Basics of Big data, its evolution and technology introduction with some primitive use case. 2- Telecom industries use case as it has been crunching big volume of data since long time which other industries have adopted later. The use cases here are well applicable in other industries 3- IOT is the most promising domain and again it creates another data deluge. It’s use case will help you understand the applicability of big data certificate in sensor domain. 4- You will be bold enough to write telecom and IOT big data experience on LinkedIn or Resume. 5- You will be able to demonstrate your analytical capability with real life examples in any interview Your Instructor - Krishna Basudevan I am a digital transformation consultant in the area of Social, mobility, analytics, cloud and IoT. With 27 years of industry experience with large multinationals, I have been the enterprise architect with key focus on business and IT alignment. I have steered multi-million IT and telecom transformation projects in one of the top 5 global telecom company. I have put those experience in the courses with related technology to solve business problems. With that in mind, the course has been designed to understand the basics and apply them in business domain. As a technology enthusiast, I have seen programmers and analyst goes over board to create technology solution to a business problem. My courses will teach students, how to apply right technology in business situation and decision making. My courses will evolve around Big data analytics, telecom, cyber security, IOT from a business perspective. Courses Included with Purchase - 1. Big Data Analytics in Telecom 2. Understanding Big Data Analytics - Origination to Opportunities 3. Big data analytics in IOT Build job-ready skills by learning from the best - Get started in the in-demand field of data analytics with a Professional Data Science Certificate. Common job titles: Junior Data Analyst, Associate Data Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst, Healthcare Analyst

What you’ll learn
  • Basics of Big data, its evolution and technology introduction with some primitive use case.
  • Telecom industries use case as it has been crunching big volume of data since long time which other industries have adopted later. The use cases here are well applicable in other industries
  • IOT is the most promising domain and again it creates another data deluge. It’s use case will help you understand the applicability of big data in sensor domain.
  • You will be bold enough to write telecom and IOT big data experience on LinkedIn or Resume.
  • You will be able to demonstrate your analytical capability with real life examples in any interview

Covering Topics

1
Big Data Analytics in Telecom
2
Understanding Big Data Analytics - Origination to Opportunities
3
Big data analytics in IOT

Curriculum

      Big Data Transforming Telecommunication Industry  Journey of Big Data in Telecom :

Detail Course Structure (7:24)  Introduction to Telecommunication Industry (2:01)  Precap to Begin (1:36) The Data Diluge :: Internal Data  Network Generated Data (3:12)  Customer Data (1:24)  Supply Chain (0:59)  Distribution Chain Data (2:31)  Subscriber Usage Details (0:45)  Interconnection data (1:12) The Data Deluge :: External Data  Social Media Blast (2:00)  Contribution by News and Media (0:42)  Mobile Endpoint data (1:22) Thanks to Big Data :: Facts Uncovered  Facts uncovered (0:42)  Key KPIs (2:18)  Customer Life Cycle and Customer Lifetime Value (3:45)  What Big Data can do for a Brand ? (1:04)  Differentiating between chatter and real feedback (3:02) Real Time Analytics  Subscriber and Product Profile (1:28)  Associativity (1:00)  Model Creation, Refinement and Training (4:03)  Customer Profile Buildup (3:22) Big Data :: Use Case  Big Data to enhance Customer Experience Management (4:29)  Big Data approach toward the Telecom Industry (2:44)  Telco extracting value from Big Data (1:22) Big Data Analytics in Telecommunication  Future of Big Data (3:20)
      Understanding Big Data Analytics - Origination to Opportunities

Strategic Guide to big data analytics  Course Overview (1:03) Big Data :: Introduction, its origination, explosion & use cases  Introduction to Big data (3:41)  Big Data Big Business (6:48)  Big Data :: Big Science :: Use Case (1:05)  Big Data Analytics for Business :: Use Case (1:08)  Big Data is helping us become proactive (2:57)  Quiz 1 Big data Origination and Explosion Big Data :: Characteristics  Characteristics of Big Data (8:14) Big Data :: Issues  Big Data :: Issues/Problems :: 1 (0:29)  Big Data :: Issues/Problems :: 2 (0:20)  Big Data :: Issues/Problems :: 3 (0:30)  Big Data :: Issues/Problems :: 4 (0:26)  Big Data :: Issues/Problems :: 5 (0:34)  Big Data :: Issues/Problems :: 6 (1:28)  Big Data :: Issues/Problems :: 7 (1:18)  Big Data :: Issues/Problems :: 8 (1:16) Challenges with Big Data  Challenges in Big Data :: 1 (1:12)  Challenges in Big Data :: 2 (0:59)  Challenges in Big Data :: 3 (0:33)  Challenges in Big Data :: 4 (3:42)  Test your progress -1 Big Data Analytics Platform  Big Data and Business Intelligence (4:16)  Big Data :: Analytics Platforms (1:25) Big Data :: Storage & Architecture Properties  Big Data :: Storage (3:20)  Big Data Storage :: Characteristics 1 (1:58)  Big Data Storage :: Characteristics 2 (1:39)  Big Data Storage :: Characteristics 3 (0:41)  Big Data Storage :: Characteristics 4 (1:06)  Big Data Storage :: Characteristics 5 (1:54)  Big Data Storage :: Characteristics 6 (0:49)  Big Data Storage :: Characteristics 7 (1:02)  Big Data Storage :: Characteristics 8 (1:01)  Big Data Storage :: Characteristics 9 (0:34)  Big Data Storage :: Characteristics 10 (0:51)  Quiz 2 : Test your Progress - Big data storage Big Date :: Big Benefit :: Big Industry  How Big Data is benefiting industries? (2:44)  Test your progress - 2  Quiz 3 : Test your knowledge Hadoop  Hadoop :: Introduction (2:48)  Hadoop :: Storage Basics (3:05)  Hadoop :: Challenges (1:35)  Getting More into Hadoop (1:09)  Hadoop :: Benefits (3:13)  Quiz 4: Digging into Hadoop Data Visualization :: Making Big Data more valuable  What is Data Visualization ? How Organizations are benefiting ? (5:41)  Advantage of Data Visualisation (3:17)  Visualisation :: Another "V" for Big Data ? (2:22)  Data Visualisation techniques (2:19)  Quiz 5 : Test your knowledge - Data Visualisation Web2.0, Social Media & Impact on Organization  What is Web 2.0 ? (2:17)  Social Networks and Web 2.0 (7:57) Analytical Models & Abstracting sense for Organization  Introduction to different analytical models (0:40)  Analytical Model 1 (2:08)  Analytical Model 2 (3:01)  Analytical Model 3 (1:45)  Analytical Model- Extracting sense for organization (3:46)  Quiz 6 : Test your knowledge on analytical Model Social profiling of customer and Augmenting business intelligence  Social profiling of a customer (6:13)  Use Cases for social profiling of customer (5:11) Sentiment Analysis and Driving Intelligence out of big data  Sentiment Analysis :: Overview (4:05)  Sentiment Analysis :: Tools (5:41)  Real time response to combined intelligence (5:41)  Real time response to combine intelligence (2:38) Big opportunity Big Security  Big Data Opportunities (4:45)  Big Data Drivers and Big Security (8:06)  Practice Quiz Test
      Big data analytics in IOT

Evolution of IoT - Introduction to IoT (10:41)  History and prediction for IoT (5:16)  IoT Eco System (9:14)  Advantage associated with IoT (4:00) Brief Introduction of Big Data  Introduction to Big data analytics (10:24) Industry Gain from IoT  Blending Big data analytics and IoT (6:30) Industry approach to Big data analytics in IoT  Big data analytics in IoT (8:43)  PreviewHow IoT feeds to Big data analytics (5:53)  Merger of industries (6:09) Barriers in adoption of Big data analytics in IoT  Challenges associated with IoT (5:15) The promising opportunities  The upcoming opportunities (9:39)

Frequently Asked Questions

The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.

How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.

We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.