This page is dedicated for Savitribai Phule Pune University’s Fourth Year of Computer Engineering (2015 Course) subject “Data Analytics” and its practicals of Laboratory Practice – I
Prerequisite Courses: 310242-Database Management Systems
Companion Course: 410247-Laboratory Practice I
Course Objectives:
- To develop problem solving abilities using Mathematics
- To apply algorithmic strategies while solving problems
- To develop time and space efficient algorithms
- To study algorithmic examples in distributed, concurrent and parallel environments
Course Outcomes:
On completion of the course, student will be able to–
- To write case studies in Business Analytic and Intelligence using mathematical models.
- To present a survey on applications for Business Analytic and Intelligence.
- To write problem solutions for multi-core or distributed, concurrent/Parallel environments
Text Books:
David Dietrich, Barry Hiller, “Data Science & Big Data Analytics”,
Theory Presentations:
Unit-VI Advanced Analytics and Technologies
Practicals of Laboratory Practice – I
- Basic Data Analytics [ Dataset Python R-Program ]
- Naive Bayes Classification [ Dataset Dataset ]
- Wordcount on Hadoop [Dataset Library Java Python R-Program]
- Weather dataset analysis using Hadoop [Dataset Library Program ]
- Movies dataset analysis using Hadoop [Dataset Library Program ]
- Trip History Analysis [ Dataset Trial ]
- Bigmart Sales Analysis [ Dataset TestSet TrainSet ]
- Twitter Data Analysis
- Time Series Analysis