Data Science & Big Data Analytics

Data Science is hence an emerging stream that helps the organizations that are struggling extract meaningful information from the hordes of data and analyze

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Tips & Opportunities

  • Regular case studies, simulations, and assessments so that you learn by doing.
  • We facilitate access of content from anywhere and anytime so that you can learn on the go.
  • After mastering of the data management and predictive analytic techniques, the learners are exposed to state-of-the-art machine learning technologies.
  • The expansive learning path has been carefully designed to cover the entire spectrum of Data Science & Big Data Analytics.
  • We facilitate connections with the international community of professional while working on projects that incorporate real-world examples.
  • The learners are also exposed to valuable insights gained from the industry experts and experienced faculty.

Course Module

  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment - First steps with the Hadoop “ecosystem”


The Hadoop ecosystem


  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop - Getting data from Hadoop


  • Introduction to the SQL Language
  • From SQL to HiveQL Exercises 4 Querying big data with Hive
  • Introduction to HIVE e HIVEQL
  • Using Hive to query Hadoop files



  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools
    • □ Spark & SparkML
    • □ H2O
    • □ Azure ML Exercises 6 Big data & Machine Learning
  • Big Data & Machine Learning (continued)
  • Next steps in the big data world

Learning Approch

  • Designed with a focus on real world relevance
  • Real-world case studies
  • Hands-on Assignments
  • Individualized Instructor
  • Career Guidance

Certification (LP Certificate)

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Certification (KHDA)

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Expert Instructors & Teaching Methods


With 15 years of experience, our trainer has handled a lot of complex projects in top enterprises. He is an IITan, a Sun Certified Java Programmer and a certified Software architect. He is a well qualified Data Scientist with experience in Hive, Hadoop, HBase, Spark, Sqoop, Crunch, Zookeeper, Kite, R, SolR, Cassandra, Flume, Kafka, Map Reduce, Oozie. He is well versed with development of web services and application development using Java, Struts, Spring, Angular, CSS, SQL, HTML and Hibernate. Having successfully implemented project on Big Data Platform (Cloudera) and with experience of using new-age technologies such as Impala, Sqoop, Oozie, Pig, and Hive, training comes effortlessly to him. He has had a strong exposure to integration technologies like Apache Kafka, WMB, IBM MQ, JMS/REST and Websphere ESB. He also possesses experience in Waterfall, TDD, Iteration and all phases of SDLC including Agile (Scrum).



Learners Experience

Frequently Asked Questions

According to Harvard Business Review, in the 21st century, Data Scientists are the best job. The supply of data scientists and Big Data Analysts is short as compared to its huge demand. Hence, there is a wonderful opportunity for learners in this field. Due to the scarcity of trained professionals in Data Science & Big Data Analytics, most organizations are willing to shell out huge salaries. An online course in this stream will leverage your career to great heights.

In order to enrol for the Data Science & Big Data Analytics course, the candidates are expected to possess a sound knowledge of statistical concepts and data calculation. They should also be familiar with SQL. The candidates are also expected to be well versed in any one programming language at least like Java, Python, R and Perl.

LearnersPoint has been conducting Data Science & Big Data Analytics masters course for a long time now and we offer the right blend of theoretical and practical learning at a modest price. The course has been scientifically designed keeping in mind the real-world scenario and the futuristic needs of handling data. We use a specially designed progress tracker to monitor the training sessions so as to ensure a reinforced and highly effective learning experience.

No, the course does not guarantee a job. But it prepares you completely for application of job as a data scientist, data Analyst, analytical manager, Statistical Programming Specialist and Machine Learning Engineer. The course will empower you with confidence to tackle any job related to this field. It will maximise your potential of landing a successful and lucrative job.

The 24*7 support offered by us covers chats, calls and emails. You can connect with us anytime with our team for any query or assistance. Our dedicated team is at your service round the clock.

If you carry an analytical bend of mind and like finding out meaningful insights from data, then this course is perfect for you. Even if you have never handles or worked with data in the past, you can take this course as data science is becoming a necessity for all major organizations and industries. There is a huge demand for well qualified data professionals and the supply is not up to the mark. You can hope for a lucrative career in the data science field with this course under your belt.

Data Science & Big Data Analytics field is one of the hottest field in the Information technology industry today. Top rated companies such as LinkedIn, Microsoft, Accenture,Walmart, Visa, Amazon etc. all hire Data Scientists and Big Data Analysts. According to a report by U.S. Bureau of Labor Statistics, the data science field will create around 11.5 million jobs by the year 2026. On the Glassdoor’s Best Jobs in America list, the job of Data Scientists and Big Data Analysts has been on the top position since the last four years. As the data is only going to increase day by day and year after year, the demand for Data Scientists and Big Data Analysts will also rise. Hence, the future of Data Science & Big Data Analytics is promising indeed.

Yes, you should be familiar with at least one programming language, preferably Python. This is because Python has been widely adopted and also offers a vast set of libraries for scientific and numeric computation.

Banking & Financial services industry are the prime employers of Data Scientists and Big Data Analysts. Other industries that hire Data Scientists and Big Data Analysts are Energy & Utilities, Pharma & Healthcare, e-commerce, Media & Entertainment, Telecom, Automobile, Retail & CPG and Travel and Hospitality.

After you register yourself for this course and thereafter wish to withdraw from it any reason, then you will be entitled for refund if you notify us within two days from the date of registration before the commencement of training, in writing. Within four weeks from the date of withdrawal, the returns are processed.