Last Enrollment Date : 30th September'21

  • Career Support
  • Testimonials
  • Blog
  • Contact Us
  • Corporate
  • Big Data for Beginners
    Praxis Logo
    E 1

    INR 5,900

    Premium MembershipPremium Membership

    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

    Please fill the form. Get free personalized counselling from our Career experts.

    Modules

    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

    Hadoop

    Introduction to Big Data and Hadoop

    Introduction to DBMS systems using MySQL

    Big Data and Hadoop EcoSystem

    HDFS

    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

    About Praxis

    Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India. Praxis Business School is motivated by the desire to generate business professionals who can partake in and add to the economic development of the country.

    MBA International Business Online

    Mentors

    Testimonials

    Course Highlights

    Key Features of the Program

    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

    Get in touch with us

    Get In Touch

    Contact Us

    Chatbot
    chatbot

    Sasha is online

    chatbot

    Hi there! I am Sasha

    And you are?