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Big Data and Analytics Market: Worldwide revenues for big data and business analytics will grow to $203 B in 2020. [International Data Corporation (IDC)]
Big Data Talent Gap McKinsey, in 2011 had hypothesized and analyzed a potential gap in terms of the number of people with deep analytical skills “2018 there will be a shortage of 1.5M Data Experts”. IBM states that By 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000. [Forbes]
Offers High Paying Jobs: The median advertised salary for professionals with big data expertise is $124,000 a year for US market. [Forbes]
Most Desired Skills and Role: Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled. [Forbes]
Check Out Our Big Data Course
Foundational Curriculum for Big Data Analytics is aimed at upskilling those who have a basic understanding of programming and data sequences, to help them expand their knowledge and learn the fundamentals of Big Data Analytics technologies at a beginner level. This Curriculum has been divided into three modules, of which the first is an introductory module.
Enable students to explore the fundamentals of Big Data Analytics, to provide them with a base from where they can upskill themselves for specific Big Data Analytics job roles
Knowledge of the fundamentals of programming including data sequences such as stacks, queues, strings, arrays, linked lists, trees, maps and the concepts of Object-Oriented Programming
Key Learning Outcomes:
Learn Big Data before it gets too late
Aligned to Competency Standards developed by SSC NASSCOM in collaboration with Industry and approved by Government
The topics that would be covered in this section include the basic knowledge and skills that an individual must possess before being trained on the core concepts of Big Data Analytics.
At the end of the module, the student will be able to:
a. Evaluate the technological trends which have led to Big Data Analytics
b. Appreciate the potential of Big Data Analytics in transforming businesses and customer use cases
c. Explain business applications of Big Data including its use in analytics, marketing, retail, hospitality, consumer goods, etc.
a. Evolution of Big Data technologies
b. Characteristics of Big Data and the six Vs: Volume, Variety, Velocity, Veracity, Valence and Volume
c. Introduction to Data Science and how it helps in getting value out of Big Data
d. Big Data use cases such as fraud prevention, security intelligence, price optimization, recommendation engines, preventive maintenance and operational efficiency
e. Foundations for Big Data Systems and Programming including Distributed File Systems, scalable computing, cloud computing and cloud service models
Identify use cases within five various industries of your choice and elaborate on how Big Data analytics can be used to transform those use cases.
Theory: 5 hours
Joint Participation Certificate from NASSCOM FutureSkills & Digital Vidya
Big Data Career Path
The Data Engineer track would be your first preference if your current skill is: Oracle, SAP, DB2, MySQL Experienced, Data Engineer, Database Expert, SQL Expert, Testers/Quality Engineers with knowledge in SQL
You could definitely choose to shift your career from: Software Engineer, Programmer, Database Administrator, Project Manager as far as you have familiarity with RDBMS, SQL
The Application Engineer track would be your first preference if your current skill is: J2EE/Java Developer, Python Developer, Other full-stack developer, programmer