Exploratory Data Analysis & Management

Accreditation:

Requires extra purchases (Books, school supplies, etc.):

No

Workload:

150 hours

Teachers

Grainne Barry

Co-Founder and CEO of the Data Science Instititue , an organisation focused on delivering higher education and qualifications that enable anyone to transition to data science. As Data Science, Analytics, Machine Learning and AI are transforming business, our mission is to give access to professional and higher education in these fields globally. Our unique programmes are developed by industry professionals and lead to internationally recognised credit rated qualifications that are accessible, affordable and fast track to Masters and Bacherlors degrees.

Babita Kachroo

Assistant Professor at Usha Pravin Gandhi College of Management.



Successfully completed Post Graduate Diploma in Data Science from Sankhya Analytics Research Pvt. Ltd.



PROJECT: MARKETING ANALYTICS (FMCG COMPANY).



Objective: To develop scientific method of communication for the next planned campaign for a leading FMCG company of India which manufactures and sells a host of products.



Performed: Data Management, Feature Engineering, Exploratory Data Analysis, Data Visualization, Predictive modeling, Machine learning Algorithms and Text mining using R and Python to determine the effective communication channel for the next campaign.

Sujata Suvarnapathki

Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Statistics, Research, Data Analysis, Lecturing, and Science. Strong education professional with a M.Sc. focused in Statistics from University of Mumbai.

Vinayak Deshpande

  • M.Sc. Statistics, Mumbai University (1997),First Rank
  • Professor- Ramnarain Ruia College (1997-2007)
  • Founder, Managing Director: Sankhya Analytical Research Pvt. Ltd. (2007)
  • Director: Medicounts Life Sciences Pvt Ltd(2013)
  • Principal Consultant: Direxions Marketing Solutions Pvt. Ltd. (2013)
  • Provided consulting services to reputed clients in India, USA and Korea in BFSI, Retail,
  • FMCG and Pharma domains
  • Published papers on biostatistics, marketing analytics ,econometrics
  • Member-Board of Studies St. Xaviers College, Mumbai
  • Member-Board of Studies SIES College, Mumbai
  • Member-Board of Studies Ramnarain Ruia Autonomous College, Mumbai
  • Member-Data Safety Monitoring Board (Alkem Laboratories and Glenmark Pharma)

Recent research papers:

  1. Evaluating Principal Component Regression in case of severe Multicollinearity.
  2. Comparison of predictive modeling methods: Naïve Baye’s,Logistic Regression and
  3. Support Vector Machines.

Snigdha Pain

Snigdha is Professor of Statistics at Lady Brabourne College, a leading college for women’s education. She has an MPhil in Computer Application of Statistics and has published many academic papers focused on healthcare and nutrition. In addition to over 15 years teaching core statistics, has over five years’ experience teaching data science and advanced analytics with R, Python, C, SPSS and business intelligence tools. Snigdha also consults to industry and has had many assignments in healthcare and the pharmaceutical sector.