Date – 18 Oct 2019
Time: 10 A.M. - 7 P.M.
Venue: Online Platform
Objectives:
- Leaning Data Science with python (Finance/ Business Analytics)
- Digital marketing Analytics - case studies (Marketing)
- HR Analytics - case studies (Human Resource)
- Supply chain Analytics - case studies (International Business)
- Predictive Analytics using SPSS
- Cognitive Business Decision making using IBM Watson
Speaker Details:
60+ Participants including students and faculties
- Learn applied statistics right from scratch and move to machine learning.
- Simultaneously learn analytics on R and Python.
- Understand the steps involved in data preparation.
- Various methods to measure Central Tendency, Variability and Shape of data.
- Understand the steps involved in hypothesis testing, Univariate and Bi-variate Analysis.
- Learn the concepts of Feature Engineering.
- Identify the dependent and independent variable in your dataset.
- Understand the concepts of Statistical model building.
- Identify a business problem and its importance.
- Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques
Key outcome of the activity:
The learning outcome of the event is student get certificate of all the courses and learned about the professional tools.