Big Data Post Graduate Program

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Big Data Master's Program

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Program Advisors

  • Aly El Gamal

    Aly El Gamal

    Assistant Professor, Purdue University

    Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.

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Our alumni work for top companies

  • Krishnakumar Srinivasan

    Krishnakumar Srinivasan

  • Martin Stufi

    Martin Stufi

  • Peter Dao

    Peter Dao

  • Tanvi Malhotra

    Tanvi Malhotra

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FAQs

  • What is Big Data?

    Big data refers to the massive volume of both structured and unstructured data that is generated by businesses on a daily basis. This data is analyzed to find trends, patterns, and associations that can be beneficial for the business (referred to as “business intelligence”).

  • What are the best beginner courses in Big Data for beginners?

    Some of the best big data courses for people wanting to venture into this lucrative field are: 

  • What are the best courses in Big Data for intermediates?

    The Apache Kafka course is a great next step for intermediates after completing big data training for beginners.

  • What are the best advanced-level courses in Big Data?

    The advanced level courses in big data include:

  • What is the state (and future prospects) of the Big Data job market?

    The big data applications market is expected to grow from $5.3 billion in 2018 to $19.4 billion by 2026.

  • What are the top job titles in the field of Big Data?

    The top five job titles in the field of big data are:

    • Data Engineer
    • Data Analyst
    • Data Architect
    • Database Developer
    • Data Security Administrator

  • What is the recommended career path for Big Data aspirants?

    The career path for a big data aspirant is:

    1. Operating system - You need to learn about the popular operating systems on which big data tools run
    2. Programming - Get an in-depth understanding of programming languages to process data easily and efficiently
    3. DBMS and SQL - Learn to write SQL queries which are needed to optimally manage data in databases
    4. ETL and warehousing tools - Study the ETL tools critical to the aggregation and analysis of unstructured data from different sources
    5. Hadoop and Spark frameworks - Process and analyze large volumes of data with a thorough knowledge of Hadoop and Spark
    6. Data mining and modelling - Understand how to analyze existing data and discover patterns for creating predictive data models

    Once you are done with the aforementioned steps, you can become a big data professional.

  • What is the average salary of a Big Data professional?

    A Big Data Specialist can earn around $107,801 annually in the United States.

  • Which are the top industries suitable for Big Data professionals?

    The top industries that are suitable for big data professionals are:

    • Medicine and healthcare
    • Banking
    • Information technology
    • Education
    • Retail
    • Ecommerce

  • What are the top companies hiring Big Data professionals?

    The top five companies hiring big data professionals are:

    • IBM
    • Microsoft
    • Facebook
    • Oracle
    • Amazon

  • Do you offer any university partnered program in Big Data?

    Yes, Simplilearn provides you a Post Graduate Program in Data Engineering in partnership with Purdue University.
     

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.