- Home
- Hyderabad
- KL University Hyderabad Campus Events
- Faculty Development Programme on Business intelligence and Big Data analytics 2019
Faculty Development Programme on Business intelligence and Big Data analytics 2019, KL University Hyderabad Campus, Hyderabad, Telangana, 1st - 6th July 2019
View Event Website Brochure Link
- Event Type:
- Venue/Offline Mode
- Start Date :
- 1st July 2019
- End Date :
- 6th July 2019
- Location :
- Hyderabad, Telangana
- Organizer :
- KL University Hyderabad Campus
- Category :
- Faculty Development Program

About Event
This FDP aims at “Business Intelligence & Big Data Analytics” course provides practical foundation level training that enables immediate and effective participation in Business Intelligence and Big Data Analytics and other projects. It includes Big Data and the Data Analytics lifecycle to address business challenges that leverage big data. The course provides in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. The extensive labs throughout provide many opportunities for students to apply these methods and tools to real-world business challenges as a practicing Data Scientist. The course takes an "Open", or technology - neutral approach, and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle.
Events
Major Course Contents: Introduction to BI and Big Data analytics R studio and R for Data Science Visualization and Exploratory Data analysis using R Statistical Methods for Decision Making Analytics Techniques, Optimization Techniques Data Mining & Introduction to Supervised and Unsupervised learning Decision Trees, Random Forest, Neural Networks Predictive Modeling, Multiple Linear Regression for Predictive Analytics Linear, Logistic Regression, LDA Time Series Forecasting, ARMA, ARIMA models Machine Learning Handling Unstructured Data, Machine learning Algorithms Bias Variance trade-off Model Validation, Data Visualization Introduction to MapReduce and Hadoop
Event Guests
Dr. R. B. V. SUBRAMANYAM Dept. of CSE, Electronics & ICT Academy NATIONAL INSTITUTE OF TECHNOLOGY
Departments:
CSE IT MCARelated Links:
Faculty Development Programme on Business intelligence and Big Data analytics 2019 KL University Hyderabad Campus Hyderabad Telangana July 2019 Workshops Workshops in Hyderabad Workshops in TelanganaFeatured Events
-
One Week Internship on Python Programming (online Mode) 2025
15th Sep 2025
-
Digital Twin Technology and its Role in industrial automation Workshop 2025
20th Sep 2025
-
Data Science Workshop 2025
20th Sep 2025
-
Web Development Workshop 2025
20th Sep 2025
-
AI in Health Care Workshop 2025
20th Sep 2025
-
Five Days National Level FDP on Research Paper Writing and Publishing with AI Tools (Design,Analyze and Publish: The Researcher's Toolkit 2025
20th Sep 2025
-
Online Workshop on Advanced Seismic Design For Resilient Structures 2025
20th Sep 2025
-
Power Bi with Software Management Workshop 2025
21st Sep 2025
-
Computer Vision Workshop 2025
21st Sep 2025
-
AI Tools Workshop 2025
21st Sep 2025
-
Python for Data Science Workshop 2025
21st Sep 2025
-
International Conference on Innovation in Engineering and Sciences ICIES 2025
27th Sep 2025
-
Ethical Hacking Workshop 2025
27th Sep 2025
-
IoT using Raspberry Pi and Python 2025
27th Sep 2025
-
Advanced Excel Workshop 2025
27th Sep 2025
-
IoT and Embedded Workshop 2025
27th Sep 2025
-
Cyber Security Workshop 2025
28th Sep 2025
-
AI in Health Care Workshop 2025
28th Sep 2025
-
Autonomous Vehicle using Python Workshop 2025
28th Sep 2025
-
IoT with Robotics Workshop 2025
28th Sep 2025
-
International One Day Workshop on Artifical Intelligence 2k25
28th Sep 2025
-
International One day - Embedded System Workshop 2K25
28th Sep 2025
-
The 3rd International Conference on Innovations in Electrical, Electronics and Communication Engineering (ICIEECE-2025)
25th Oct 2025
-
International Conference on Interdisciplinary Technologies in Research and Artificial Intelligence ICITRAI 2025
27th Nov 2025