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Due to Covid19 Outbreak, Campus Visits are not mandatory until further notice.

Course description

Who Should attend & Course Pedagogy

  • Executives from any domain who are keen on learning Big Data and Data Science for professional development.
  • Software developers/ IT Professionals who are willing to move into analytics.
  • Professors from Institutes who are willing to upgrade their skills into analytics.

Eligibility

  • Graduation or equivalent degree from any recognized University or Institute
  • Minimum 3 years of Working Experience

Course Pedagogy

The program consists of 100 hours of online and offline sessions delivered by IMT faculty panel and senior professionals from the field of analytics. This ensures that the program culminates academic input infused with IMT excellence and Industry’s Business relevance, there by providing the participants with a remarkable learning experience.

The Capstone project

The Capstone Project gives you the opportunity to apply what you’ve learned about how to make data-driven decisions to a real business challenge. The project shall be mentored and evaluated by faculty fromIMT. The project will be presented to the faculty board during campus visit asa part of the requirement for successful completion of the program.

Best suited for

  • Professionals who are looking to upgrade their career in Analytics.
  • Entrepreneurs/Business Analyst/Project Managers.
  • Senior Managers/Managers/Team Members who are involved in analytics.

Assignments, Videos & Case Studies

Curated Course Syllabus

Career In Analytics

  • Career in Analytics
  • Big Data Analytics
  • Big Data Engineers
  • Data scientist
  • Profiles of systems analyst, data analyst, business analyst, data engineer, data Scientists

Introduction to Analytics, Data Base and Mining

  • Fundamental of Business Intelligence, Business Analytics, Big Data
  • Triangles of McKinsey, IBM. Definitions of IDC, Forrester, BCG and NASSCOM
  • Importance of data management
  • Database Structures- DBMS, Data Warehouse, Data Lakes,
  • DB2 to Linux to window – New Path
  • Basics of SAP HANA
  • Introduction to Data mining & Data warehouse.
  • Data Life cycle- Case Study

Data Science

  • Refresher MIS
  • DIKW Methodology
  • Data models – Project management
  • Normalization and De-Normalization.
  • Overview of Distributed Computing and IT architecture
  • Establishing an IT analytics Lab/Big Data Lab
  • Overview of Data Warehouses
  • Modelling, Data Cubes, OLAP and OLAP Market

Data Mining ( Lab Work Using R and Spark)

  • Data Mining and Business Analytics Model
  • Classification
  • Text Mining
  • Clustering
  • Association rule mining ( Using real life examples)
  • Web Mining
  • CA, CHAID, CONJOINT models
  • Meta data management and ETL tools
  • Data Cleaning methods
  • Scripting languages

Tools - Excellence in Analytics

  • Gartner Hyper Cycle Methodology
  • ETL Tool Market ( OWB, SAP, SAS Etc.)
  • Cleaning Tools Market (TIBCO, WINPURE,DRAKE etc.)
  • Big Data Tools( Hadoop, Cassandra Etc.)

Big Data

  • What is Big Data, Advantages and its Structure
  • International Data Corporation (IDC) on Big Data
  • Elements of Big Data ; 10 V’s of Big Data
  • Vendor Space – Apache and SNIA Servers
  • Hive Architecture

Data Science Roadmap

  • Framing a business question/Problem
  • Understand Data and its importance
  • Exploratory Analysis
  • Overview of Big data Concepts (Cloudera, AWS, Twitter Storm etc.)
  • Big Data Architecture, tools and Implementation
  • Apache Hadoop HDFS Infrastructure
  • MapReduce and yarn
  • Flume, HIVE, Oozie and Zookeper

Machine Learning ( Using R and Python)

  • Historical Context: Machine learning,
  • Supervised and Unsupervised learning
  • Artificial Intelligence: who uses, how they use. companies who are pledging.
  • Text mining
  • Social media analytics. Concepts, SNA Social network analysis.
  • Introduction of Neural and fuzzy networks in BIG DATA Analytics
  • Genetic algorithms. PCA/Random Forest

Data Visualization (Using Slash, Tableau and other tools)

  • Data visualization introduction.
  • Tools and vendor markets.
  • Python’s visualization tools
  • Examples
  • Pie Chart
  • Bar Chart
  • Histograms
  • Mean, Median, Mode, Standard Deviation
  • Box Plot
  • Scatterplots
  • Heat maps
  • Correlation
  • Time series

Case Study

  • Business challenges, Opportunities and risk in Big Data

Design thinking and Critical Analytical Thinking

Business model innovation in Big Data for Practicing BI, Data Scientist Professionals

Project Work

  • Capstone Project with Top Analytics Companies

Program Fees

For Indian Residents

Rs. 80000 + GST*

Tenure
Deadline
Amount (INR)
1st instalment
On Selection
Rs. 30,000 + GST*
2nd Instalment
25 August 2019
Rs. 25000 + GST*
3rd Instalment
20 September 2019
Rs. 25000 + GST*

For International Students

USD 2000

Tenure
Deadline
Amount (USD)
1st instalment
On Selection
USD 1000
2nd Instalment
25 August 2019
USD 500
3rd Instalment
20 September 2019
USD 500
Kindly Note : Campus visit will be over and above of program fee.
* EMI dates may vary on a case to case basis. For more information, please refer the welcome email sent to you after the registration.
* Bank loan available

Course Certificate

Earn The Certificate After The Successful Completion Of The Course

PG Executive Certificate
Click to enlarge

Tools to be Used

Program faculty members

Learn from the best

Reema Khurana
Reema Khurana
Prof.: Information Technology and Analytics

Dr. Khurana has been in design and delivery of courses in higher education for 27 years. She has published in several leading refereed journals and ca...

About the institute

IMT GHAZIABAD

  • Established in 1980, Institute of Management Technology, Ghaziabad has a remarkable presence of 40 years in the industry.

  • IMT Ghaziabad has been accredited by AACBS International – The Association to Advance Collegiate Schools of Business, Association of Indian Universities : AU and National Board of Accreditation: NBA.

  • IMT Ghaziabad has been ranked 4th in overall and 2nd in Private in Times of India B School Ranking 2019.

  • Several global journals and publications regularly carry evidence of the work put in by IMT Ghaziabad’s faculty.

  • The International Relations Centre, IMT Ghaziabad, has reputed partner institutions all over the world and facilitates numerous incoming and outgoing exchange programs for students as well as faculty to ensure students develop a profound comprehension of the various cultural, geographical, traditional and educational facets that drive and empower the efficient functioning of business entities.

Established in 1980, Institute of Management Technology, Ghaziabad (IMTG) is India’s premier AACSB accredited management school with a distinct focus on grooming leadership through Innovation, Execution and Social Responsibility.

An autonomous, not–for–profit institute, offering highly sought after postgraduate programmes over the past more than three–and–a–half decades, IMTG currently offers four AICTE approved programmes – Post Graduate Diploma in Management (PGDM) Full Time, PGDM Executive, PGDM Part Time, and PGDM Dual Country Programme (DCP). While the first three programmes are offered at the IMTG campus in Ghaziabad, Delhi NCR, India, the PGDM DCP is offered in collaboration with the IMT Dubai campus.

IMTG has been consistently ranked among the top management institutes of the country. Today, it is the proud alma mater of more than 300 C–suite executives and thousands of professionals serving in leadership positions in the best known organisations in India and around the world, in key business functions of Sales, Operations, Human Resources, Consulting, Information Technology, Marketing, and Finance among others.

Start Your Application


  • I have read the details and eligibility criteria for admission to the program, that I am applying for.

  • I understand that my application shall be considered complete only when the Application fee along with required documents are received by IIM Rohtak and all mandatory fields in the application form are completed.

  • I understand that merely submitting the application form and fee, does not entitle me for the admission to the Diploma programme The admission is purely on the basis of my profile scoring, qualification and further evaluation by the Institute.

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Corporate Prices / Plans

No. of Nomination
Discount
2 to 5
5%
6 to 10
7.5%
11 to 20
10%
21 and above
Contact the team


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EMI Options / Plans

Partner
Tenure
EMI
1
Rs. 80000 + 18% GST
2
Rs. 80000 + 18% GST
6
Rs. 10212 Monthly
9
Rs. 10212 Monthly
12
Rs. 10212 Monthly
Down Payment for Course is 8000 + 18% GST
Please Note
  • Processing Charges may be applicable as per bank rules.

  • 10% down payment of the course fees shall be paid to Nulearn.

  • No loan facility is available for foreign students.

  • Click here to apply by loan. (loan partner propelld)


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