Data Visualization with R

Last day of registration: January 19th, 2022

 

This product is currently out of stock and unavailable.

SKU: IIT Madras | Dates: 21, 28 & 29 January, 2023 Categories: ,

Description

Mode of workshop: Online

This workshop will cover topics like

Day 1 : Sat 21st January, 2023

Module 1 : Introduction
  • Concepts covered : It’s All About Data, Data Analytics, Data Mining, and Knowledge Discovery
  •  Live session : 2 hrs
Module 2 : Data and Relations-I
  • Concepts covered : The Iris Data Set, Data Scales, Set and Matrix Representations Relations
  •  Live session : 1 hr
Module 3 : Data and Relations-II
  • Concepts covered : Dissimilarity Measures, Similarity Measures, Sequence Relations, Sampling, and Quantization
  •  Live session : 2 hr
Learning Outcomes of the day : Identification of data, Choosing similarity and dissimilarity measures,
Sampling and quantization

Day 2 : Sat 28th January, 2023

Module 1 : Data Preprocessing
  • Concepts covered : Error Types, Error Handling, Filtering, Data Transformation, Data Integration
  •  Live session : 2 hrs
Module 2 : Data Visualization-I
  • Concepts covered : Diagrams
  •  Live session : 1 hr
Module 3 : Tutorial
  • Concepts covered : Tutorials on Implementation
  •  Live session : 2 hr
Learning Outcomes of the day : Getting data ready for processing, Exploring the data

Day 3 : Sat 29th January, 2023

Module 1 : Data Visualization-II
  • Concepts covered : Principal Component Analysis, Multidimensional Scaling, Sammon Mapping, Auto-encoder, Histograms
  •  Live session : 3 hrs
Module 2 : Data Visualization-II
  • Concepts covered : Spectral Analysis
  •  Live session : 1 hr
Module 3 : Tutorial
  • Concepts covered : Tutorials on Implementation
  •  Live session : 1 hr
Learning Outcomes of the day : Visualizing the data using various methods

 

Session dates: 21, 28 & 29 January, 2023

Time:  

21st January – Saturday – 10 am to 1 pm, 2 pm – 4 pm

28th January – Saturday 10 am to 1 pm, 2 pm – 4 pm

29th January – Sunday 10 am to 1 pm, 2 pm – 4 pm

Last date of Registration:  January 19th, 2022

Profile of the Instructor(s)

Prof. Neelesh S. Upadhye is an experienced Associate Professor with a demonstrated history of working in the higher education industry. Skilled in Mathematical Modeling, R, Stochastic Modeling, and Statistical Modeling. Strong education professional with a Doctor of Philosophy (Ph.D.) focused on Mathematical Statistics and Probability from IIT Bombay. Currently leading the Center for excellence in computational mathematics and data science at IIT Madras.

Prof. Jayant Jha is an Assistant Professor with experience working in the field of theoretical and applied statistics in academia and industry. Skilled in Statistical Modeling, R, Bayesian inference, and Machine learning. Strong education professional with a Doctor of Philosophy (Ph.D.) focused on Mathematical and Applied Statistics from Indian Statistical Institute, Kolkata.

Eligibility & Fees

Intended audience

  • Industry Professionals/Students with basic knowledge of calculus-based mathematics

Pre- requisites

Knowledge of Calculus

Fees  for the workshop:

Employed: ₹ 5900/- (5000 + 18% GST)
Students: ₹ 1180/- (1000 + 18% GST)
Faculty: ₹ 2360/- (2000 + 18% GST)

Certification

After attending all the sessions and completing the assignments and projects, we will provide you with a workshop completion certificate from NPTEL.

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