Data analysis, additionally called as Data Analytics, may be a method of inspecting, cleansing, remodelling and modelling information with the goal of discovering helpful info, suggesting conclusions, and supporting decision-making. This 2-days experiential learning and development program on “DATA ANALYTICS “ focuses on the above, while also highlighting Data Mining, Explorative Information Analysis, Data Integration etc. through a variety of tests and understanding of standard models.
A few of the instructor-facilitated methods and tools which would be used as appropriate include: Pre-reading, case studies, Group assignments, Spot quizzes, Warm ups and Ice-Breakers, Management Videos and Role plays.
- Lectures 0
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes
Introduction to Business Analytics and Big Data Business Analytics Process, CRISP-DM, introduction to JMP.
Data concepts, review of basic statistics and Data exploration & visualization
Hypothesis testing, Type 1 & 2 errors, T-test, ANOVA, Chi-Square, and correlation.
Linear Regression Analysis ,Logistic Regression, Decision Tree, Model comparison and evaluation.
Cluster Analysis, Market Basket Analysis ,Data Warehousing and OLAP concepts
Tools & Technologies for Big Data Ethical Issues