Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Good data science requires experts that combine substantive knowledge with data analytical skills, which makes it a prime area for social scientists with an interest in quantitative methods.

Duration:  Three Months Online Course

Eligibility : Graduation in any stream

Course Highlights:

• Global Accreditation from IAO

• Flexible Course structure

• Lowest fees in industry

• Industry driven curriculum

• Video Lectures

• Placement Support under corporate tie-up Naukri.com

Course Special Benefits:
This course aims to provide an introduction to the data science approach to the quantitative analysis of data using the methods of statistical learning, an approach blending classical statistical methods with recent advances in computational and machine learning. We will cover the main analytical methods from this field with hands-on applications using example datasets, so that students gain experience with and confidence in using the methods we cover. 

 

Topics Covered:

1. Introduction to Big Data Analytics

2. Data Analytics Lifecycle

3. Review of Basic Data Analytic Methods Using R

4. Advanced Analytics-Technology and Tools: MapReduce and Hadoop

5. The Mother of Invention’s Triplets: Moore’s Law, the

6. Proliferation of Data, and Data Storage Technology

7. Hadoop

8. HBase and Other Big Data Databases

9. Machine Learning

10. Data Quality

11. Innovation Patterns and Big Data

12. Large-Scale Time-Series Forecasting

13. Using Big Data and Analytics to Unlock Generosity

14. The Use of Big Data in Healthcare

15. Big Data: Structured and Unstructured

16. Competitors, Intelligence, and Big Data

17. The Intrinsic Value of Data

18. Getting Ready to Use R and Hadoop

19. Writing Hadoop MapReduce Programs

20. Integrating R and Hadoop

21. Using Hadoop Streaming with R

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Study Material : Soft copies of study material will be provided.

Exam: Online exams will be conducted as per your schedule and choice
 

Course fees: 
Rs. 22,000 for India based student (Total course fees)

Fees can be paid by Credit card / debit card

Easy pay EMI options available from ICICI Bank, Axis Bank, Standard Chartered Bank, Kotak mahindra Bank, HSBC Bank, YES Bank, Indusind Bank andRBl Bank. EMI can be paid in 3 / 6 / 9 / 12 months duration at 13% per year interest. Click Here for EMI Options.

Admission procedure: Its very simple and easy. Download application form from download page. Once we receive all documents and fees your enrollment number and soft copies of study material will be sent to you within two days.  

For more detail please visit FAQ section or call us