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Electronics & ICT Academy, Telangana State, India

Data Science using Spark R @ KL University, Vaddeswaram



Participants Information

Participants: 40
Speakers:06
Female participants:14
Male participants:26
Participants from SC/ST category:03
Research Scholars:05

Topics Covered

  • Overview of Data Science
  • Data Analytics Life Cycle
  • Predictive Analytics
  • Case studies on Predictive Analytics
  • Data Wrangling using SPARK R
  • Probability Analysis
  • Inference and Modeling
  • Linear and Logistic Regression using R
  • Use cases in Data Science
  • Data Science Case Studies
  • Parallel Probabilistic Graphical Models for Text Analytics
  • Parallel Latent Factor models for Recommender Systems
  • Satisfied/graphical models for Large-scale graph analytics (Community detection), speech processing and NLP
  • Data Science Fundamentals using SPARK R
  • SPARK R: Transformation features
  • SPARK R: Integration Features
  • SPARK R: Visualization Features

Highlights

List of Speakers

Prof. P. Radha Krishna, Professor, NIT Warangal


Prof. V. Ravindranath, Professor, JNTUK, Kakinada


Pavan Kumar, Citibank, Bangalore


Bhatt Dittakavi, CEO, Variance.ai, Hyderabad


Dr. T. Ramakrishnudu, Assistant Professor, NIT Warangal


S. Karthick, Assistant Professor, NIT AP


Feedback Summary

  • Good resource persons and Effective lecture sessions.


  • FDP is very helpful to learn Data Science.


  • Good Hospitality.

    • Suggestions from Participants

  • Required more hands on sessions on Regression.