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Certificate Course on Applied Data Analytics “A Practical Approach” by NIT Raipur [May 22 – June 21]: Register by May 10

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Apr 23, 2023
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Certificate Course on Applied Data Analytics "A Practical Approach" by NIT Raipur [May 22 - June 21]: Register by May 10

Applications are invited for Certificate Course on Applied Data Analytics "A Practical Approach" by NIT Raipur. The last date for application is May 10, 2023.

Course Provider: Organization

Course Provider Name: NIT Raipur

Course Provider URL: http://www.nitrr.ac.in/downloads/events/STTP/2023/CEC_COURSE_Details_Applied_DATA_ANALYTICS_03March23.pdf

Editor's Rating:
4.8

Applications are invited for Certificate Course on Applied Data Analytics “A Practical Approach” by NIT Raipur. The last date for application is May 10, 2023.

About NIT Raipur

National Institute of Technology Raipur (Formerly Government Engineering College Raipur), situated in the capital of a newly incepted state of Chhattisgarh, has proven to be “avant-grade’ in the field of science and technology over the past few decades in this region. With sweet memory of the foundation ceremony by our president Hon’ble Dr. Rajendra Prasad on 14th September 1956.

Course Objectives

The main objective of the course is to help the participants in developing a solid understanding of the Data Science and Analytics techniques like data pre-processing, predictive analysis, fundamentals data statistics, machine learning techniques, and data visualization, etc., with help of emerging data analytics tools like Python/R.
The mathematical foundation for analyzing the data will add more knowledge about the data and this will help decision support systems. This certificate course will help to enhance the knowledge of the participants in the field of Data Science and Analytics.
This course focuses on the delivery of lectures with the full practical approach, case studies, and hands-on practical sessions on a diversified range of topics related to Data Science and Analytics.

Course Outcomes

Upon successful completion of this Training Programme, the participant will be able to:

Perform analysis of data using the Python/R tool.
Perform model fitting using mathematical background.
Become familiar with the wide range of enabling technologies for data interpretation, and data visualization.
Become families with Data Summarization and Data Generalization techniques.
Identify appropriate methods for data analysis in various domains.
Formulate and design data analytic solutions.
Manage large-scale, complex data and obtain the interpretation.
Recognize and evaluate the opportunities, needs, and limitations of data.
Interpret data analytics and communicate the implications to stakeholders.
Attain data scientist and data engineer positions in a fast-growing field.
Accelerate progress into related Research and Development in Data Science and Big Data.

Course Modules

Module I: Introduction to R Programming.
Module II: Introduction to Python Programming & Introduction to the Science of Statistics.
Module III: Feature Engineering.
Module IV: Supervised and Unsupervised Learning.
Module IV: Data Visualization.

Registration Fee

Students of NIT Raipur: Rs. 750 + 18% GST.
Outside Students (other than NIT Raipur): Rs. 1000 + 18% GST.
Faculty/ Industry Personnel: Rs. 2500 + 18% GST.
The payment can be done either in the form of a Demand Draft (DD) in favor of “Director, NIT, Raipur” payable at Raipur or through online mode.
For online payment, the scanned copy of the application form along with the proof of payment should be sent to cec_assistant@nitrr.ac.in by the due date (10th May 2023).
For payment made through DD, the hard copy of the application along with the DD should be sent to the Chairman, Continuing Education CELL, NIT Raipur, Raipur, Pin:492010 by the due date (10th May 2023).

Account Details

Bank Name: State Bank of India.
Account Number: 38027633250.
Account Holder Name: Director NIT Raipur.
Branch Name and Address: NIT Branch, G. E. Road Raipur, Chhattisgarh 492010, India.
IFSC Code: SBIN0002852.
MICR Code: 492002004.
Swift Code: SBININBB646.
PAN Card Number: AAAJN0643G.
GSTIN Number: 22AAAJN0643G1ZN.