Certificate Program in Power of Business Analytics

CREATING NEW POSSIBILITIES

Certificate Program in Power of Business Analytics

In today’s tech-dependent and fast-paced world, flow of information is abundant and quick. Hence, the attention span of an individual has reduced largely. In some cases, it lasts no more than thirty seconds.

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STARTS ON JULY 02, 2022

Application Deadline: June 30, 2022

duration (1)
DURATION 10 WEEKENDS

Every Saturday 4 hours

money (1)
PROGRAMME FEE

Rs. 26550 /- ( Rs. 22500 + 18% GST)

eligibility (1)
ELIGIBILITY

Any Graduate/ Diploma holder

"Infographics Batch commencing from 1st June 2022" and "Power of Business Analytics Batch 2 Commencing on 2nd July 2022"

The exponential growth of data both structured and unstructured is compelling organizations to shift their focus towards Business Analytics (BA) for making strategic decisions. Business Analytics is about the process of turning data into actionable insights using variety of scientific tools and techniques, and making sound decisions that will generate value for the company

Pedagogy

Every session is designed to be highly interactive with lectures and practical exercises intended to provide participants with an opportunity to improve their skill set in the field of business analytics.

  • To provide immersive learning journey in the area of data analysis, business intelligence and their real- world applications across sectors/functions.
  • To outpace the competition by leveraging Business Analytics and to develop data-driven decision- making.
  • Solving business problems by using descriptive, predictive & prescriptive methods of analytics
  • Gain actionable insights from industry-oriented curriculum.
  • To sharpen strategic outlook of participants by understanding data-driven solutions to complex business problems
  • Learning from experienced and renowned Jaipuria faculty to explore in-demand ML techniques in business and their applications.

After attending the program, participants will be able to:

  • Understand collection and preparation of suitable data for analysis.
  • Gather Business Insights by analysing data, using analytics tools.
  • Usedata-driven decision-making techniques to make more informed business decisions.
  • Learn & apply ML techniques in day-to-day working to solve business problem

Module 1: Business Intelligence
  • Concept of key performance indicators or KPI’s
  • Data and management of data KPI’s
  • Visualizing KPI’s: Dash boarding & Story Telling
Module 2: Programming for Analytics
  • Getting started with python
  • Basics programing concept
  • Python data types
  • Working with dataframes
Module 3: Social Media Analytics & Digital Marketing
  • Importance of social media and digital marketing
  • Social media text analytics
  • Social media networks analytics
  • Social media action analytics
  • Search engine optimization
  • Social media marketing strategy
Module 4: Machine Learning
  • Introduction to Machine learning
  • Data Preprocessing & Exploration
  • Supervisedlearning techniques
  • Unsupervised learning techniques
  • To introduce and demonstrate the power of Business analytics .
  • To enable the participants to learn and appreciate the use of data analysis techniques to solve real- world business problem.
  • To enable participants to derive useful insights from the data for effective decision-making.

Dr. DN Pandey

Director- Jaipuria Noida


Ph.D in Enterprise Risk Management

Teaching/ Research Areas

Finance & Economics, Banking, Innovation & Excellence

Dr. Deepankar Chakrabarti

Professor & Dean (Research)


M.Sc., IIT, Kharagpur, Ph.D.- Jamia Millia Islamia, New Delhi

Teaching/ Research Areas

Business Analytics (AI/ML), Geographic Information System, Research Methodology Knowledge Management, Spatial Analytics, Natural Resource Management, Artificial Intelligence/Machine Learning

Dr. Shivani Bali

Professor


Ph. D., M. Sc. (Operational Research), University of Delhi, MBA (Information Technology)

Teaching/ Research Areas

Business Analytics, Data Mining, Operations and Supply Chain Analytics, Blockchain

Dr. Renuka Mahajan

Assistant Professor


Ph.D. (Computer Science & Engineering)

Teaching/ Research Areas

Data Mining, E-business, Business Analytics, IT