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BDA Foundation Course

BDA Foundation Course - DIGITAL VIDYA

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Course Description

Why Study Big Data?

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]

Who Should Take Our Big Data Course?

  • University students enrolled in streams such as Engineering, Computer Science, Statistics, Sciences or Mathematics
  • Employed professionals who wish to explore their career options and interests with regards to Big Data Analytics
  • Enthusiasts curious about understanding the hype behind Big Data Analytics

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Check Out Our Big Data Course

What Will You Learn in this Online Big Data Course?

  • Algorithm Design using Mapreduce
  • Features of Popular Big Data Systems & Platforms
  • Relational & Semi-Structured Data Models, Data Formats & Data Streams
  • Fundamentals of Big Data Processing Systems, Analytics & Visualizations
  • Big Data System, Database & Programming along with Industry use-case
  • Introduction to key tools in the Spark toolkit including Spark MLlib & GraphX

What is this Big Data Course About?

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.

Overview

 
Scope and Objective

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

 
Pre-Requisites

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:

  • Evaluate trends in Big Data and discuss how Big Data is transforming businesses
  • Evaluate the different platforms used for processing Big Data
  • Evaluate the features of Databases
  • Write Map and Reduce codes for distributed Processing of Data
  • Understand key concepts behind Big Data Modelling and Management and gain practical skills needed for modelling Big Data Projects
  • Select appropriate data models that suit the requirements of data
  • Differentiate between a traditional Database Management System and a Big Data Management System
  • Retrieve data from Big Data Management Systems
  • Execute simple Big Data Integration and Processing Operations

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Learn Big Data before it gets too late

Big Data Course Curriculum

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.

1. Key Learning Outcomes

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.

 

2. Topics Covered

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

 

3. Practical Activity

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.

 

4. Approximate Duration (Indicative – for an online module)

Theory: 5 hours

 
 
 

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Joint Participation Certificate from NASSCOM FutureSkills & Digital Vidya

 

Big Data Career Path

Big Data – Data Engineer/ETL Engineer

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

Big Data – Application Engineer/ Developer

The Application Engineer track would be your first preference if your current skill is: J2EE/Java Developer, Python Developer, Other full-stack developer, programmer

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Institute Overview

DIGITAL VIDYA
Patna, Bihar, India
15 Current Posted Courses

About Digital Vidya   Digital Vidya is Asia’s leading professional training company focusing on imparting new-age skills to individuals & organizations. Since 2009, over 61,000+ professionals (including CXOs) from 16,... Read More

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