Certificate from Praxis - India's Top Analytics Business School (By India Today)
Data Scientist : The Hottest Job of the 21st Century
An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in organizations involved in Big Data Analytics.
Our Placement Division helps our students meet companies that practice Big Data Analytics. Our Placement Division has positioned students in some of the top companies like Siemens, American Megatrends, Dell and HCL.
This course involves several hours of Live Faculty session and recorded live session. It also has multiple guest lectures every month. Along with live classes, the course has industry catalyzers, opinion polls, observers and self-assessments.
During the course, the students pursue autonomous research on a question or problem of their choice, involve with the academic learning in the related disciplines, and - with the supervision of a faculty and industry mentor - produce a significant paper.
We connect you with industry leaders who play a major role in the Data and Analytics Domain. Connecting with such people can help you in job hunting, career networking and professional progress.
Learn through Case Studies
Case studies help you to emphasize detailed contextual examination of a restricted number of events or circumstances and their relations. It helps in obtaining in-depth info about an individual, group, or occurrence.
POST GRADUATE PROGRAM IN DATA SCIENCE
NO. OF FACULTY LIVE SESSIONS
NO. OF RECORDED LIVE SESSIONS
NO. OF GUEST LECTURES
Capstone project experience
Only 20 seats available for this batch.
Strictly through selection criteria
SIGN UP TO KNOW MORE
POST GRADUATE PROGRAM IN DATA SCIENCE
Big Data Characteristics, Big Data and Business, Big Data Case Studies, Data Relationships and Data Model, Data Grouping, Clustering Algorithms, UPGMA Clustering Algorithm, Single Link Clustering Algorithm, KPIs and Businesses, KPIs and Data Elements, Mapping for business outcomes, Basic and Advanced Query.
Understanding Basics of Python, Control Structures and for loop, Playing with while loop | break and continue, Strings and files, List Dictionary and Tuples.
Introduction to R , Common Data Structures in R , Conditional Operation and Loops, Looping in R using Apply Family Functions , Creating User Definrd Functions in R , Graphics with R , Advanced Graphics with R.
Introduction to Big data and Hadoop, Hadoop Architecture, Hadoop Deployment, Hive - Introduction, Metastore, Hive data types, Partitioning and Bucketing, Mapreduce Framework , Hbase Architecture - Run models & Configuration, Hbase Cluster Deployment, Data Model, HBase Shell, Data Loading Techniques.
Python: Data Structure, Twitter Analysis and Analytics, Text Analytics, Hadoop. Spark: Machine Learning with Spark Case Studies: Python + Spark Project: Spark.
R,Loops in R, Concept of data structure in R, Creating Boolean index in R, Understanding Loops, R graphics, data clustering (k-means,hirerachial), Decision tree (C4.5 and CART), Concepts of Association Rule Mining, Building association rules and interpretation.
Clustering concept (DBSCAN, EM Clustering), Measures of cluster validity, Classification techniques( KNN, Naïve Bayesian, ANN,Ensembles,Random Forest) Sequential Pattern mining, Case Studies.
Introduction to DBMS / RDBMS, Data Modelling - Entry Relationships Data Modelling - Normalization, Physical Data Model, Getting started with SQL lite, DDL (Creating Tables, Loading Data, Insert, Delete,Update) & DML, Data warehousing, Dimensional modeling.
Sqoop,Flume,Pig,Zookeeper, Oozie and Apache Spark.
Introduction to Statistics , Introduction to Statistics - II ,Measures of Central Tendency, Spread and Shape -I,Measures of Central Tendency, Spread and Shape - II ,Measures of Central Tendency, Spread and Shape - III ,Measuring Association.
BIG DATA 101
BIG DATA WITH SPARK & PYTHON
DATA MINING 1 / MACHINE LEARNING WITH R
RDBMS WITH SQL AND DWH
DATA MINING 2/ ADVANCED MACHINE LEARNING WITH R
*only basic contents have been listed here. Sign up to know full curriculum
Over 18 years of experience in Consulting & Software development
Former Partner at PwC, Director at IBM and tenured professor at IIT Kharagpur. He is currently the Program Director – Business Analytics at Praxis Business School
Dr. Prithwis Mukerjee (B.Tech IIT KGP, Ph.D University of Texas)
Prof. Charanpreet Singh (B.Tech – IIT Kanpur, MBA-Univ of Iowa, Chevening Scholar)
Corporate experience of 20 years with organizations such as British Oxygen, Tata Steel, PwC and Compaq-HP, is the Associate Dean of Praxis
Has been visiting faculty at IIM-L, IIM Raipur, IIM Udaipur, IIM Shillong
Prof. Srinivas Govindrajan (B.Com – Utkal, PGDM-IIM A)
-24 years of experience of which 19 years has been in academics with institutions like XLRI and XIMB, is the ICICI bank Chair Professor & founding Dean of Praxis.
-Has been visiting faculty at XLRI, XIMB, IIM-L. IIM Raipur and IIM Udaipur
Prof. Jaydeep Mukherjee (B.Tech IIT KGP, M.Tech, ISI Kolkata)
-20 years of experience in Consulting & Software
-Partner with PwC, Promoter of Cogentech Mgmt Consultants & Conacent Consulting
OUTCOME OF THE PROGRAM
We provide 100% placements from top tech and analytics companies for select candidates.
OUR PLACEMENT PARTNERS
1) Resume Review:
Students should send their updated resume for review.
2) Aptitude Test:
A short 40 mins online test.
A Skype Interview with a senior placement co-ordinator.
A unique user ID and password is given to the student by CMC from where one can access various openings across different industries for the listed city. Students can access this portal anytime. Do note the student has to schedule the interview on his own
The Career Management Centre (CMC) of 361 Degree minds made a valuable association with AAUM Analytics in the year 2017 to lend further support in assisting them to get more opportunities lined for their students coming from varied backgrounds. 361 Degree minds also offer services in resume designing for certain programs.
A letter of Intent is given to the student who is selected after a series of assessment levels. CMC of 361 Degree Minds takes the responsibility of placing every student on successful completion of the program while adhering to the attendance and assessments criteria. The Students are also required to pay the placement fees for the services rendered by the CMC for preparing and scheduling the interviews. If not placed, the students can claim a full refund.
“ I am happy with the way it is easy to follow and uncomplicated. It is the complete guide to learn and master in Big Data Technologies. They explain everything with great real-life examples which makes the class more interesting. Best of all its home study the best way to learn & cover all classes. I enjoy learning here.”
B.Tech CSE, Fresher
Assistant Software Engineer
"Everything explained from scratch even a non IT background person can easily grasp the lessons. Vast experienced faculty explaining with practical examples adds value to the knowledge shared"
361 DEGREE MINDS
PRAXIS BUSINESS SCHOOL
361 Degree Minds, Chennai