Big Data for Beginners
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INR 5,900

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Program Summary

  • 1 credits
  • Duration 2 Months
  • 45 Hours of online sessions

Big Data for Beginners

If you could point one thing which kept the world going through pandemic, it would be the Internet. The world population today is not just hanging on the internet, but is building a virtual world of its own. With your profiles on social media, job portals and OTT platforms, individuals like us are living two lives. And, can you imagine what has that done? It has created ‘Big Data’, a multi-billion industry. How can you be part of that industry; Let’s find out:

Big Data - as self-explanatory the term may sound, the details are complex and a career in Big data is thriving. As per Gartner - ‘Big Data are high volume, high velocity, or high-variety information assets that require new forms of process to enable enhanced decision making, insight discovery and process optimization.’ Quoting to some of the data available online, until 2003, the entire world only had five billion gigabytes of data. In 2011, this data was generated over 2 days and in another two-years’ time, this amount of data was generated every 10 minutes, and in 2021, the data is uncountable.
This voluminous data generation is creating a consumer base for every business and even for the government letting the structured and unstructured data being analysed for their best use.

The need for a Big Data course for Beginners

Pandemic might have hit jobs to an all-time low. But according to Forbes, Data Scientists and Data Analysts are the fastest-growing job roles which are about to increase sharply by 28% by 2021. ‘The Economic Times’ reports that India has seen more than 400% rise in demand for data science professionals. This demand is in stark contrast with the supply of such professionals as supply grew only 19%. Picking up on this demand, more professionals are willing to step into this sector but the question in front of them is “Where do I start?”

As an answer to this, there has been specific online programs designed to help beginners learn Big data with ease.

Business houses today are running on the minds of Big Data Analysts, who are out and about professionals who had gained a certification in Big Data. Hence, learning a beginners’ course in Big data is like facing towards the rising sun, instantly uplifting your job profile among the cutting edge demands of the employers.

What do you learn in this course?

A simple scroll through your social media, you are viewing ads every few seconds, an advertisement customised for your choice, personality, past searches and more. All of this is being done with the use of Big data and any professional can understand more of this by going through a clear explanatory big data tutorial designed for beginners.

Enrolling in ‘Big Data for beginners’ course can correspond to some crucial learnings of Big Data 101, Mathematics Modelling, Coding in DB Environment and Making Data Sets. As a student you are sure to dig deeper than the surface with Real-Time internship, Placement support, Training Methodology, Capstone Projects, Industry connects and learning through case studies. The dynamics of this course is sure to cover all corners for you and in short big data certification for beginners is rightly the first step forward towards a long journey in this domain.

Career Options (Job roles) for beginners after learning big data course

For beginners, obtaining a Big Data certification opens up the gateway to your success in the Big data spectrum. After completion of the beginners’ course, one can upskill themselves further based on their career interest and choice in the widespread analytical umbrella, which comprises of Predictive Analytics, Prescriptive Analytics, Descriptive Analytics. The mainstream profiles for skilled and experienced professionals are commonly known as Big Data Engineer, Data Scientist, Big Data Analyst, Data Visualization Developer, Machine Learning Engineer, Business Intelligence engineer, Business analyst specialist, Machine learning scientist. These are the profiles which are most sought after in recent times.

Institutions/Companies where Big data professionals are in high demand

Owing to the business needs, Big Data professionals work for a diverse set of companies, almost any company using data requires a big data professional to work for them inorder to make crucial business decisions at the right time. Data analysts work on Wall Street investment banks, Hedge funds, and private equity firms. They also work in the healthcare industry, marketing, and retail. In general, data analysts are everywhere. Big tech companies such as Facebook and Google analyse big data to a dizzying degree. To do so, they employ many of the top data analysts for a variety of purposes including advertising and internal analysis along with a great deal of user analysis. The government sector also employs and relies heavily on information scientists for data collection, mining, and analysis. Insurance and health care companies also have deep data infrastructures that require information scientists as well.

The big world of Big Data today is looking for many such skilful professionals who can add value to every decision made by the organisation thereby increasing the competitive edge and bringing more profits into the business.

Sneak Peak
Program Highlights

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Big Data 101

Big Data Characteristics

  • Volume
  • Variety
  • Velocity
  • Veracity
  • Valence
  • Value

Big Data and Business

Data Relationships and Data Model

  • One-to-one relationship
  • One-to-many relationship
  • Many-to-many relationship
  • Flat model
  • Hierarchical model
  • Network model
  • Relational model
  • Star schema model
  • Data vault model

Data Grouping

Clustering Algorithms

  • partitioning
  • hierarchical
  • grid based
  • density based
  • model based

Getting ready for Clustering Algorithms

Clustering Algorithms – UPGMA, single Link Clustering

KPIs, Businesses & Data Elements

Mapping for business outcomes

  • Define the pain point
  • Define the goal
  • Identify the actors
  • Identify the impacts
  • Identify the deliverables
  • Creating your impact map

Basic Query

Advanced Query – Embedding

Mathematics Modelling

Introduction to key mathematical concepts

  • eigenvalues and eigenvectors

Application of eigenvalues and eigenvectors

  • investigate prototypical problems of ranking big data

Application of the graph Laplacian

  • investigate prototypical problems of clustering big data

Application of PCA and SVD

  • investigate prototypical problems of big data compression

Coding in DB Environment

Making Data Sets

R Programming

R Programming

Introduction to R – I

Introduction to R – II

Common Data Structures in R

Conditional Operation and Loops

Looping in R using Apply Family Functions

Creating User Defined Functions in R

Graphics with R

Advanced Graphics with R


Introduction to Big Data and Hadoop

Introduction to DBMS systems using MySQL

Big Data and Hadoop EcoSystem


Unix & HDFS Hands-on

Map-Reduce basics

Map Reduce Advanced Topics and Hands on

Pig introduction and Hands on

Pig Scripting

Hive Introduction, Metastore, Limitations of Hive

Comparison with Traditional Database and HIVE scripting

Hive Data Types, Partitioning and Bucketing

Hive Tables (Managed and External)

Hive Continued

Scoop Introduction and Hands-on

Introduction to NoSql and HBASE

HBASE architecture and Hands-on

Big Data with Spark and Python



Course Highlights

  • Big Data programs in chennai

    Real-time Internship

    An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in organizations involved in Big Data Analytics.

  • Big Data for Beginners

    Placement Support

    Our Placement Division helps our students meet companies that practice Big Data Analytics. Our Placement Division has positioned students in some of the top companies like Siemens, American Megatrends, Dell and HCL.

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    Training Methodology

    This course involves 117 hours of Live Faculty session and 78 hours recorded live session. It also has multiple guest lectures every month. Along with live classes, the course has industry catalyzers, opinion polls, observers and self-assessments.

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    Capstone Projects

    During the course, the students pursue autonomous research on a question or problem of their choice, involve with the academic learning in the related disciplines, and - with the supervision of a faculty and industry mentor - produce a significant paper.

  • Big Data Analytics Training for Engineers

    Industry Connect

    We connect you with industry leaders who play a major role in the Data and Analytics Domain. Connecting with such people can help you in job hunting, career networking and professional progress.

  • Big Data Analytics for Freshers Online

    Learn through Case Studies

    Case studies help you to emphasize detailed contextual examination of a restricted number of events or circumstances and their relations. It helps in obtaining in-depth info about an individual, group, or occurrence.

Key Features of the Program

  • Effective & Appealing Content

    We offer a unique combination of research-led futuristic pedagogy and globally benchmarked content. Our modules are backed by extensive research which has made our education system both appropriate and exciting for our learners.

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  • Highly Experienced Faculty for Big Data

    At 361 DM, we have a group of highly qualified faculty from IIT Kanpur and IIT Kharagpur. Our faculties have worked with PwC and IBM and have years of experience in pioneering several Big Data and Analytics projects globally.

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  • Internship

    An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in companies that look for Professionals skilled in Big Data Analytics.

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  • Placement Support

    Our Placement Support Entity helps our students meet companies that work with Big Data and Analytics. Our students have been placed in some of the top companies like Siemens, American Megatrends, Dell and HCL to provide meaningful placement support.

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  • New Age Learning Platform

    The i-meta platform of 361 DM, enabled with unique augmented and virtual reality-led classes allow mobile learning i.e., you can learn anytime and anywhere. You can also learn by downloading the 361DM App in your smartphone. Our platform facilitates group discussions, learning resources, performance records, post-class assessments, e-library, and opinion polls during classes.

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  • Dedicated Support Team

    We have a dedicated team to support you throughout the course – from the application to the certification! You can reach us whenever there is any need for assistance, just at the click of a button.

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  • Education Loan

    Good Education ensures good future. We ensure your financial needs are taken care of as you move ahead in getting educated to build an awesome career. You can always apply for an Education Loan to join select courses.


Outcome of the Program

Certificate Program in Big Data Technologies is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity.

Big Data Tutorial for Beginners

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