Big Data Courses

With Big Data taking over the industry by storm, the demand for well-designed Big Data courses is on the rise. And why not? These courses are one of the best ways to equip oneself with all the Big Data skills!
Big Data programs not only introduce you to the fundamentals of Big Data, but they also teach you how to design efficient Big Data analytics solutions. You will learn how to work with Big Data frameworks like Hadoop, Spark, Azure, Storm, Samza, and Flink, to name a few. Apart from this, Big Data courses also teach you the basics of databases, data processing, and data analytics.


Learners of Big Data

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  • Overview
  • Certification
  • Programs
  • Benefits
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What is Big Data?
Data bears an intrinsic value, but it is of no use to us until the ‘value’ is discovered and realized. Today, the world generates an incomprehensible amount of data every second containing structured, semi-structured and unstructured data - together, this is termed as Big Data.
Big Data is so big that it is beyond the traditional processing methods. Thus, to unravel the innate value of Big Data, or rather the insights hidden within it, Big Data technologies have been developed. With the help of Big Data technologies, businesses can collect, clean & organize, process, analyze, and interpret massive amounts of raw data to facilitate smart and innovative decision-making. Insights gained from Big Data are also used to develop Machine Learning and Advanced Analytics applications.
The need and importance of Big Data have grown manifold not only in the business sector, but also in healthcare, finance, education, and even Governance. As a result, job opportunities in Big Data are growing at an unprecedented rate. Most Big Data jobs come with the promise of fast career growth and high-end salaries - the two primary attractions of the field. In fact, Big Data jobs pay much higher than the average market pay scale.
So, there’s no time like now to take advantage of this opportunity and gain the requisite skills for Big Data for business.
Applications of Big Data
Thanks to Big Data Analytics, businesses and organizations can now leverage large volumed of data to uncover useful insights. Unlike conventional BI tools, Big Data Analytics can offer instant solutions to various issues. Using the extracted information, organizations can identify new business opportunities, make smart business decisions, enhance work productivity, create data-driven products/services, and gain a competitive edge in the market. As productivity and efficiency increases, it boosts the ROI and also customer satisfaction quotient.
Applications of Big Data are gaining a strong foothold across various industries. For instance, Big data analytics has made it possible for healthcare providers to offer personalized medicine and remote monitoring. Also, by mapping healthcare data with geographical data sets, Big Data Analytics can help predict potential epidemic outbreaks. Another use case of Big Data is in Governance. Government wings use real-time Big Data Analytics for cyber-security and intelligence, crime prediction and prevention, tax compliance, weather forecasting, traffic optimization, and much more. In the banking sector, Big Data Analytics plays a pivotal role in detecting and preventing fraudulent transactions, money laundering, and misuse of credit/debit cards.
How to Become a Big Data Analyst?
To become a Big Data Analyst:
  • First, get a Bachelor’s degree in Information Technology/Computer Science/Statistics.
  • Acquire work experience as a Data Analyst.
  • Advance your educational background by obtaining a Master’s degree or a relevant Certification in Data Science/Data Analytics/Big Data Management.
Apart from degrees, you must possess the following skills to become a successful Big Data Analyst:
  • You should be proficient in coding in at least two programming languages like R, Python, Ruby, C++, Java, Scala, and Julia. Coding is the foundation for numerical and statistical analysis on massive datasets.
  • You should have a strong knowledge of Mathematical and Statistical concepts, including Linear Algebra, Multivariable Calculus, Probability Distribution, Hypothesis Testing, Bayesian Analysis, etc.
  • You should be able to work with different computational frameworks such as Excel, SQL, Hadoop, MapReduce, Spark, Storm, Cognos, SAS, MATLAB, Tableau, etc.
  • You should be comfortable with relational and non-relational database systems like MySQL, NoSQL, HDFS, Oracle, DB2, MongoDB, CouchDB, Cassandra, etc.
  • You should develop strong business acumen.
  • You must possess excellent communication skills.
Career Options in Big Data
Here’s a list of the top career options in Big Data:
1. Big Data Engineer
Big Data Engineers design, develop, test, evaluate, and maintain Big Data solutions for businesses/organizations.
2. Data Architect
Data Architects design and build and maintain complex database systems for businesses/organizations.
3. Data Scientist
Data Scientists are professionals who are well-versed in Mathematics, Statistics, and ML. They must uncover the hidden patterns in large datasets and interpret the data in ways that can benefit businesses.
4. Big Data Analyst
A Big Data Analyst’s job is much like that of a Data Scientist, as in, they also have to analyze data from disparate sources to identify new business opportunities, ways to enhance business operations, increase customer satisfaction factor, and so on.
5. Data Warehouse Manager
Data Warehouse Managers handle everything associated with the design, implementation, maintenance, and support of data warehouse systems and data repositories.
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Professional Certificate in Big Data

A Big Data Certification not only equips you with the fundamental knowledge about Big Data and its tools and technologies, but it also adds credibility to your resume. The best part - both students and experienced professionals can opt for certification courses for upskilling.

upGrad’s Big Data program has been designed in collaboration with BITS Pilani. Top-notch instructors teach the course in the field, along with some of the best industry leaders. In just few months, you will be industry-ready. The courses is divided into various modules, each of which comes with unique assignments and projects. During the first few weeks, you’ll study the fundamental concepts of Big Data, and then you’ll move on to studying about different Big Data engineering platforms, Big Data processing and Big Data Analytics. You’ll work with Big Data tools, including Hadoop, Hive, Hbase, Spark, Sqoop, Scala, Storm, and .

Apart from theoretical knowledge, you’ll get plenty of industry exposure - you will work on real-life sponsored Big Data projects and also have one-on-one interaction sessions with industry mentors. To help you track your progress, the dedicated team of instructors provide regular and personalized feedback on your case studies and assignments. You also get a chance to connect with BITS Pilani alumni.

upGrad also offers placement assistance and conducts mock interview sessions, resume creation, and programs like BaseCamp, where students can learn through participation and engagement with other students.

    Programs in Big Data (7 to 11 months)

    upGrad’s PG Program in Big Data Engineering is highly beneficial for young aspirants who want to make it big in the domain of Big Data. The best part of taking up this course has to the learning and guiding support you will receive. Besides acquiring all the essential skills for Big Data, you will receive guidance on how to build your Big Data portfolio and choose the right job profile.

    PG Certificate Program in Big Data & Analytics
    PG Certificate Program in Big Data & Analytics | 7 months
    Accelerate your career growth with a certification in Big Data & Analytics by ingesting, processing and analyzing data
    Program Level
    7 Months
    Hours of Learning
    No of Case Studies
    PG Program in Big Data Engineering
    PG Program in Big Data Engineering | 11 months
    Become a Big Data Engineer and learn how Facebook's newsfeed personalises suggestions and lots more
    Program Level
    11 Months
    Hours of Learning
    No of Case Studies
    The upGrad Advantage
    Strong hand-holding with dedicated support to help you master Big Data
    • Industry Mentors
      • Receive unparalleled guidance from industry mentors, teaching assistants and graders
      • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
      Student Success Mentors
      • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
      • Success Mentors are your single points of contact for all your non-academic queries
    • Q&A Forum
      • Timely doubt resolution by industry experts and peers
      • 100% Expert-verified responses to ensure quality learning
      Expert Feedback
      • Personalised expert feedback on assignments and projects
      • Regular live sessions by experts to clarify concept related doubts
    • upGrad BaseCamp
      • Fun-packed, informative and career-building workshops
      • Sessions by industry professionals and professors
      • Group activities with your peers and alumni
      Industry Networking
      • Live sessions by experts on various industry topics
      • One-on-one discussion and feedback sessions with industry mentors

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