INR 59600
Premium Membership
Program Summary
30 credits
Duration 1 Year
212 Hours of online sessions
90 Hours of projects/Assignments
Post Graduate Program in Data Science and Machine Learning
This Post Graduate Program in Data Science and Machine Learning has a perfect blend of Technology, Data Science and Business cases and insights; it stands out to be among the best in the world. This uniquely blended Program is brought to you by Praxis, a Top-ranked Analytics B-School in India.
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Modules
Big Data 101
Big Data Characteristics
Big Data and Business
Data Relationships and Data Model
Data Grouping
Clustering Algorithms
Getting ready for Clustering Algorithms
Clustering Algorithms – UPGMA, single Link Clustering
KPIs, Businesses & Data Elements
Mapping for business outcomes
Basic Query
Advanced Query – Embedding
Mathematics Modelling
Introduction to key mathematical concepts
Application of eigenvalues and eigenvectors
Application of the graph Laplacian
Application of PCA and SVD
Coding in DB Environment
Making Data Sets
Statistics 101
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
R Programming
R Programming
Introduction to R – I
Introduction to R – II
Common Data Structures in R
Conditional Operation and Loops
Looping in R using Apply Family Functions
Creating User Defined Functions in R
Graphics with R
Advanced Graphics with R
Hadoop
Introduction to Big Data and Hadoop
Introduction to DBMS systems using MySQL
Big Data and Hadoop EcoSystem
HDFS
Unix & HDFS Hands-on
Map-Reduce basics
Map Reduce Advanced Topics and Hands on
Pig introduction and Hands on
Pig Scripting
Hive Introduction, Metastore, Limitations of Hive
Comparison with Traditional Database and HIVE scripting
Hive Data Types, Partitioning and Bucketing
Hive Tables (Managed and External)
Hive Continued
Scoop Introduction and Hands-on
Introduction to NoSql and HBASE
HBASE architecture and Hands-on
Access Methods
Big Data with Spark and Python
Python
Understanding Basics of Python
Control Structures and for loop
Playing with while loop | break and continue
Strings and files
List
Dictionary and Tuples
Data Mining 1 - Machine Learning with R & Python
Introduction to NumPy
Introduction to Pandas
Slicing Data
Exploratory Data Analysis
Exploratory Data Analysis (Continue)
Missing Value Imputation and Outlier Analysis
Linear Regression Motivation
Linear Regression optimization objective
Linear Regression in Python
Introduction to Regression Tree
Introduction to Classification Tree
Measures of Selecting the best Split
Cluster Analysis – Hierarchical Clustering & k-Means Clustering
Customer segmentation in Telecom Industry using Cluster Analysis
k-Means clustering
Association Rules mining
Market Basket Analysis
Data Mining 2 - Advanced Machine Learning with R & Python
Sources of Error (Irreducible error, bias and variance)
Formally defining the 3 Sources of Error
Linear Regression – Multicollinearity (VIF)
Qualitative Predictors – Use of Dummy Variables
Observing overfitting in Polynomial Regression
Regularized Regression (L2 – Regularization) – To avoid overfitting
Regularized Regression (L1 – Regularization) – Feature selection using regularization
Regularized Regression – How does regularized regression handles multicollinearity?
Decision Tree – Pruning
Bagging Models
Designing your own Bagged Model
Random Forest
Boosting (Ada Boost)
K Nearest Neighbour – Concept. kNN algorithm for k=1 and k>1
Writing a K Nearest Neighbour algorithm from scratch
Comparison of kNN with Linear Regression; Difference between kNN and kMeans.
Revision of basics of Linear Algebra
The Theory of dimension reduction
Practical – Compressing an image file [Practical using R Software]
Practical – Compressing an image file [Practical using R Software] (Continue)
RDBMS with SQL and DWH
Introduction to DBMS / RDBMS
Data Modelling
Physical Data Model
Getting Started with SQL Lite
DDL
DML
Introduction to Data Warehousing
Dimensional Modelling
Advanced SQL
Olap Cubes
Olap Cubes Practicals
Artificial Intelligence & Deep Learning - Industry Practices
About Praxis
Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India. Praxis Business School is motivated by the desire to generate business professionals who can partake in and add to the economic development of the country.
Mentors
Srinivasan Anandan
Nearly 20 years of Experience in Training IT Infrastructure Management, Server Administration, Network Security, Designing and implementing Networks.
Member of IEE, ACM
International Certifications : Microsoft Certified Professional, Microsoft Certified IT Professional, Microsoft Certified Trainer
Expert in troubleshooting and resolving operational issues of LAN/WAN Internet/Intranet remote access; enabling system backup and recovery while maintaining system security.
ExtensiveexperienceinCorporatetrainingwithITgiantslikeL&T,TCS,HCL Technologies, Wipro Technologies, Standard Chartered
Sahaya Baskal Assisi G
IT PROFESSIONAL – NETWORKING & CYBER SECURITY SPECIALIST
Over 9 years of experience in Network & Cyber Security Management, Real Time Analysis, Security Operations, Threat and Incident Management with a team size of 20+ engineers.
Expertise in maintenance of a multi-platform & multi-location computing environment entailing Incident, Change, Escalation, Availability & Continuity Management comprising of Switches, Routers, Firewalls, Proxies, SIEM etc.
Steered efforts in ensuring project quality control with adequate planning, execution and maintenance; successfully supported over 100 International customer’s Data Center and security operations.
Testimonials
It was a good online learning experience with great Video lesson and Video demonstrations. It really helped to test theoretical part through LAB. The best part of LAB is if we are wrong, it gives exact information about wrong/mistake part and steps to do it right way.
Hi Thanks for giving this opportunity for me, I have learnt lot of things through this course and lab, Quiz session was extremely superb even it helps me to understand and gave real time experience.
Course Highlights
Training Methodology
The concepts are explained with practical examples. We explain the concepts with business case scenarios on how it is and how it is supposed to be for the project to the successful. The candidates will be able to correlate with their work and are able to apply their learning in their workplace.
Industry Connect
We connect you with industry leaders who play a major role in the Cyber security 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.
Industry Integrated Content
We offer a unique combination of research-led futuristic pedagogy and globally benchmarked content. Our modules are backed by extensive research which has made our education system both appropriate and exciting for our learners.
Certificate from Digiterati
Digiterati was started in 1991 as India’s first IT Finishing School for Information Technology at Chennai. Digiterati is Chennai’s largest corporate training centre with a unique distinction of training more than 1500 graduates on a single day simultaneously for India’s top IT companies, like HCL TCS CTS Scope International Wipro Tech Mahindra Ford etc.
New Age Learning Platform
The i-meta platform of 361 DM, enabled with unique augmented and virtual reality-led classes allow mobile learning i.e., you can learn anytime and anywhere. You can also learn by downloading the 361DM App in your smartphone. Our platform facilitates group discussions, learning resources, performance records, post-class assessments, e-library, and opinion polls during classes.
Dedicated Support Team
We have a dedicated team to support you throughout the course – from the application to the certification! You can reach us whenever there is any need for assistance, just at the click of a button.
Demonstrable Skills
The learners can demonstrate specific skills hands-on in any job interview compared to their peers who may only know but can’t do. Only practical skills training program in the world.
Measurable Outcomes
The hirers will have access to a crisp report of before and after training listing various IT skills including step-by-step methodologies like reverse engineering and how to write virus codes that are used by hackers, system penetration testing techniques, advanced network packet analysis, securing web servers etc.
Benchmarked Skills
The TestOut international certification is recognized worldwide and it is benchmark for hiring Ethical hackers in companies like IBM.
Learning Outcome
Post Graduate Program in Data Science is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity.
