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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

With the speed of the progress maintained in the change being brought to the world in terms of electronic and digital aspects, more and more information regarding people keeps getting dumped on the company server. This data is amassed through a variety of means like databases, server logs, and even social media and each bit of it can prove to be useful for the organisation. Therefore, the requirement for data analytics is not just high, it is estimated to grow even further in the coming times.

Advance Diploma in Big Data Analytics prepares its participants for this need and ensures them a career of stability and growth. It will teach them how to figure out hidden correlations in the gathered data, dig out patterns that will allow the companies to gain the edge they need and give the candidates the ability to make better and more accurate decisions.

Simply put, the 4 V’s that make the greatest obstacles for the candidates; variety, volume, veracity, and velocity, will be the greatest strengths of the candidates as a result of this course, in the data analytics domain.

The Highlights

Government certification
NIELIT faculty
16 week-long
NIELIT certificate
Fee waiver for SC/ST students
Hostel facilities available

Programme Offerings

Project works
hands on learning
Lab facilities
placement assistance
Internship

Courses and Certificate Fees

Certificate Availability
no

The programme fee for a general category student is Rs. 40,000.

Eligibility Criteria

Education

Only those candidates are eligible to apply for the course who have a degree in B.Tech/ME/BE/B.Sc/M.Sc/DOEACC or PGDCA in either A or B level/3-year diploma degree in either Electronics, Computer Science or IT/BCA/MCA or a degree equivalent to any of these.

The candidates will also need a decent background in the programming field to be eligible to apply.

Certification Qualifying Details

The applicants must finish the course and complete all its contents and projects to gain the certificate at the end of the programme.

What you will learn

JavaMachine learningKnowledge of PythonKnowledge of Apache SparkKnowledge of Linux

Applicants will shine in their fields with the brilliant skill sets they would have developed through this course.

At the beginning of the course, applicants will master Linux programming step by step, by first learning its basic commands to finally going complete shell scripting.
Python, one of the most demanded programming skills in the digital field, will be taught in detail to the participants.
Concepts of Hadoop and Big Data and the ability to configure the data structure as well as administer the processes of the software will be an important part of the candidate’s syllabi.
Applicants will learn what the concepts of machine learning are, how its algorithms work, and how to build ML applications through it.
The structures of APIs and configuration of pyspark will be teaching the applicants to run cluster applications.
The knowledge of R programming is an essential tool for professionals in the field as it enables them to statistically organise data mines and packages.
Participants will also be taught how to build applications using Java so that it can later be used in Hadoop’s environment.

Who it is for

Big Data Analytics EngineerBig Data Engineer

The course refers to the following people as the ideal students of the programme.

Enthusiasts of the data mining world who want to gain the skills to leave an impression on the industry are well-suited candidates for the course.
Freshers who wish to start a new career in this expanding sector will be able to use this programme as a great point to amass all the required tools and insights.

Admission Details

Applicants wanting to pursue the course are asked to follow the below-mentioned steps to apply to the programme.

Step 1: Since the offline admission procedure has been discontinued, for now, the applicants are requested to visit the course’s official website: https://www.nielit.gov.in/calicut/course-calendar?coursecode=SW200

Step 2: When the participants have opened the course website on their systems, they will see a chart on the right-hand side of the page with a note saying ‘Apply Now’.

Step 3: Upon clicking the note, another page will open with the heading ‘Online Registration’.

Step 4: From the page, candidates will have to click on the link of Online registration.

Step 5: An online registration form will open and the candidates will have to register on the site.

Step 6: This step requires that after the candidates have submitted their registration form, they complete the registration process through the payment of the registration fee.

Step 7: After the candidates have made the payments, they will have to wait a little while before the selected list of candidates is published.

Step 8: The rest of the instructions will be given to the applicants if they get selected for the programme.

The Syllabus

Linux environment
Commands
Built-in tools for data analysis.
Java programming in Linux

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 -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
- Machine learning.

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

Evaluation process

Applicants do not need to give any special exams for this course. The percentage received by the candidates in their qualifying degree will decide their selection in the programme.

Instructors

NIELIT Calicut Frequently Asked Questions (FAQ's)

1: Who is the course instructor?

Prasoon Kumar KG, the principal technical officer at the reputed government institute of NIELIT will be instructing this course.

2: Which institution is offering this course?

The course has been offered by the National Institute of Electronics and Information Technology at Calicut. It is an independent body of the Ministry of Electronics and Information Technology of the Indian government.

3: What job roles will the candidates be eligible for after the course?

When the course has been completed, the applicants will be more than eligible for job opportunities like data administrator, data engineer, data analyst, and much more.

4: Which software will be covered in the course?

Much industry-demanded software like Python, Linux, Apache Hadoop, R, Java, Apache SPARK, and HTML will be covered in the course.

5: Has scholarship been provided to the candidates?

The course offers a special fee waive to the students of the SC/ST community. They will have to pay an amount of Rs. 4,000 which they will be refunded after the course completion.

6: Can candidates apply for fee refund?

Applicants will only be refunded the fee they have paid if they cancelled the course a long time prior to the admission date or if the course was postponed and the new date did not suit the candidate’s schedule.

7: How many seats are there in the course?

The total number of seats provided in the Advanced Diploma in Big Data Analytics course to the candidates is 40.

8: How will the candidates be selected?

The selection of the applicants in the programme will be entirely dependent on their marks or percentage in the applicants’ qualifying degrees.

9: How are the lab facilities offered to the candidates?

The lab has been equipped with Intel Xeon Dual Processor based servers and over 100 PCs with 1Gbps internet speed. Each of these systems will have a variety of software available with them.

10: Which course code is associated with this programme?

Candidates will be able to find this course on the course website under the course code SW200. It will be mentioned in the short term course list.