SW200 – Advanced Diploma in BigData Analytics

Course	:	Advanced Diploma in BigData Analytics
Code	:	SW200
Starting Date	:	17 March,2020
Last Date To Apply	:	05 March,20
Course Coordinator	:	Prasoon Kumar KG  Email:prasoon[at]calicut[dot]nielit[dot]in , Phone 0495 2287266(ext. 239).

Course Preamble

In today’s world there is data available in abundance from variety of sources like web server logs, social media, and large databases and  from diverse domains like Ecommerce, Medical, Scientific etc. Big data analytics is the process of examining these data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. Business people, Doctors,  Scientists etc. can use this to improve their services.
The main challenge to the analysis of big data comes because of the 4 V’s– volume, velocity, variety and veracity. For effective analytics, we need to deal with high volume of data of different variety which is being generated in high velocity. The data what is available from such  sources is highly unstructured which calls for analytics on the same.

Course Objective

The objective is to make the participants capable of identifying and applying appropriate techniques and tools to solve problems in managing huge quantity of data.

Course Outcome

After undergoing this course the participants will become data engineers who can perform analytics operations on data using various tools. They can develop, maintain and evaluate Big Data Solutions for organizations.

Course Structure

Sl. No	Course Modules	Weeks
1	Linux concepts, Java programming	2
2	R Programming	3
3	Python Programming	3
4	BigData concepts, Hadoop and MapReduce	5
5	Hive, Pig, Sqoop, Flume, HBase, SPARK, Machine Learning
6	Project	3

Course Contents

Linux and Java (2 weeks)
Linux environment, commands, built-in tools for data analysis.
Java programming in Linux

R (3 weeks)

Setting up R environment, Variables, Data Types - Vectors, Factors, Lists, Matrices, Arrays, Data Frames, Subsetting.  Control Structures, Functions, Debugging tools,. Reading data – Text, CSV, HTML, JSON, MySQL. Grouping functions-apply, lapply, sapply, mapply. Data visualization - barplot, pie, scatterplot, histogram, scatter matrix, ggplot. Statistical Analysis of data-Summary Statistics, Tabulation methods. Probability distributions in R- Normal distribution, Poisson distribution, Binomial distribution.  Correlation and Regression, Hypothesis Testing, Graph visualization using igraph, Developing GUI with Shiny, Machine Learning in R

Python (3 weeks)

Python -features, program execution, data structures, List, Dictionary, Tuples, If statements, looping and loop control statements, Functions and Modules, Generators, import statement, namespaces-packages, Class concepts, Exception handling, Regular Expressions, Database access, XML parsing, Python for data analytics – using numpy, matplotlib and pandas,scipy, sci-kit learn and machine learning.

BigData&Hadoop (5 weeks)

Hadoop Architecture and HDFS, Mapreduce Architecture with examples, YARN Architecture, nosql databases with examples,  transferring data with Sqoop, data ingestion into Hadoop with Flume, Familiarization of Spark, Mllib and machine learning, Oozie, HBase, Hive and HiveQL, Pig,  Distributed processing on a Cluster, Integrating R and Hadoop

Mini project (3 weeks)

 

Course Fees

General Candidates:  Course fee is 40,000 + GST at actuals

SC/ST Candidates: Tuition Fees/Examination fees are waived for SC/ST students admitted under SCSP/TSP. However they are required to remit an amount of 4720 as Advance caution/security deposit. This amount will be considered as caution/security deposit and will be refunded after successful completion of the course. If the student fails to complete the course successfully this amount along with any other caution/security deposits by the student will be forfeited.

 

Eligibility

ME/MTech/BE/BTech/MSc/BSc / 3 year Diploma in (IT/Computer Science/Electronics), MCA/BCA /Degree holders with PGDCA or DOEACC A or B level or equivalent to any of these with good computer programming knowledge.

Important Dates

Last date for submitting application:	05-March-2020
Selection intimation through website:	06-March-2020 (After 5.00 PM)
Counseling/Admission:	17-March-2020

More Details

For more details like How to Apply, Placement, Hostel, etc please see the Course Calendar

For more Information Contact the Course Coordinator, Prasoon Kumar KG , Email:prasoon[at]calicut[dot]nielit[dot]in , Phone 0495 2287266(ext. 239).