POST GRADUATE PROGRAM IN DATA SCIENCE

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POST GRADUATE PROGRAM IN DATA SCIENCE

COURSE OVERVIEW –

Course Access Duration– 11 Months

Program Plan – Gives in-depth information about what is covered, schedule, different phases involved and Process

Key Take Away – Benefits of the course

Who should attend – Talks about the eligibility criteria, best-suited audience, etc.,

Potential Career Growth:- Post Graduate Program in Data Science, as an industry is set for exponential growth.

ABOUT COURSE

  • Here’s a Post Graduate Program in Data Science course that will give you an in-depth understanding of Business Analytics and Big Data using R, SAS, Hadoop, Python, and Spark.
    The course helps you understand data mining, exploration, visualization, and hypothesis testing.
  • This is the perfect course for Data Analysts and Big Data professionals.
  • There is a serious shortage of Data Scientists and this is a major concern for Top MNCs around the world. All this means the major corporations are ready to pay top dollar salaries for professionals with the right Data Science skills.

Eligibility & Course Access Duration

Eligibility  Course Access Duration 
Eligibility: Fresh Graduates and Experienced Working Professional. 11 Months

Fees Details

Fee Option Installment-I Installment-II (after 1 Month) Installment-III (after 1 Month) Total Fees
Lump sum Rs.40,000 Rs.40,000
Installment Rs.15,000 Rs.15,000 Rs.15,000 Rs.45,000
Payment Instruction
1. Fees need to be paid in lump sum / first Installment via Cheque or online payment in favor of "IIBM Institute of Business Management".2. Exam Fees and GST 18% applicable 

**Scroll left and right table for get details.

Course Details

Introduction to Data Management

Languages of Data Science
Learn tools and languages used for data analysis – R, Excel, SQL, Python & Tableau.These modules are also part of preparatory course
Introduction to Data Warehousing and OLAP
Equip yourself with the knowledge to extract and pre-process data before analysis
Data Preparation
Learn how to prepare data before you analyse them

Statistics and EDA

Data Visualization
Make your data alive with visuals using R and tools like Tableau
Descriptive Statistics
Summarize and describe data sets using a measures such as Central tendency and variability
Inferential Statistics
Learn probability, Central Limit Theorem and much more to draw inferences
Exploratory Data Analysis
Derive initial insights from the data using R and other visualization tools
Hypothesis Testing
Understand how to formulate & test hypotheses to solve various business problems

Introduction to Machine Learning I

Linear Regression
Learn to implement linear regression and predict continuous data values
Classification
Understand and implement algorithms like K-NN*, Naive Bayes and Logistic Regression
Clustering
Learn how to create segments based on similarities using K-Means and Hierarchical clustering

Machine Learning II

Time Series
Learn how to make predictions using time dependent/variant data
Decision Trees
Tree-based model that is simple and easy to use. Learn the fundamentals on how to implement them
Support Vector Machines
Learn to classify data points using support vectors
Neural networks*
Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI!
Association Rule Mining*
Ever wondered why beer is kept next to diaper in superstores? Find out in this module

Introduction to Big Data Analytics

Introduction to Big Data And Hadoop
Understand the basic concepts of Big Data and Hadoop as processing platforms for Big Data
Managing Big Data
Learn and Use Hadoop Ecosystem tools for data ingestion, extraction and management. Hadoop ecosystem tools namely Sqoop, Hive will be covered in this Module
Introduction to Spark
Understand and use Spark, a fast Big Data processing platform
Big Data Analysis
Learn how to analyze Big Data using SparkR, SparkSQL

Who Should Attend 

  • Degree/Diploma graduates
  • This course is designed for the professionals, who wish to make a career in business analytics and have some Knowledge of IT. There are no pre-requisites for this course.
  • Big Data Specialists, Business Analysts and Business Intelligence professionals
  • Statisticians looking to improve their Big Data statistics skills
  • Developers wanting to learn Machine Learning (ML) Techniques
  • Information Architects looking to learn Predictive Analytics
  • Those looking to take up the roles of Data Scientist and Machine Learning Expert

Potential Career Growth

  • Become one of the most in-demand Data Scientists in the world today
  • Learn how to analyze large amounts of data to bring out insights
  • Relevant examples and cases make the learning more effective and easier
  • Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course
  • Post Graduate in Data Science from  IIBM Institute. Getting these certification courses can increase your chances of getting hired in some of the best companies.

Alumni Speaks

image-21-70x70Name:-       N.C.RANGANATH

Company:- HDFC LIFE INSURANCE CO. LTD.,

Review:-  It has been my long cherished dream to pursue further education. I have been working in life insurance sector since 1992 and occupied various positions in managerial cadre both in public and private sector. Due to tight work schedule I could not find time to pursue any further courses. Recently I took a sabbatical to become a Fellow of Teach for India for a period of two years. At the same time I also came across IIBM Institute of Business Management and found this valuable online course. The course helped me in getting deeper insight into various areas such as personnel management, financial services and Sales Distribution management besides providing me an opportunity to secure certifications in Six Sigma, Corporate governance and Project Management. Now I feel more empowered with requisite knowledge to take up higher responsibilities not only in insurance industry but also in any industry per se. My Special thanks to IIBM Institute Team.