Applied Business Analytics course is an intensive instructor-led four day course which is designed for students keen to advance their knowledge on data analytics. The dynamic curriculum in applied business analytics helps the participant to understand and apply analytics in the business context. Topics covered are fundamentals of R programing, multiple linear regression, Binary logistic regression, Decision tree, Random forest, K means clustering, sentiment analysis in text analytics and social media analytics. Business cases from marketing analytics, HR analytics, financial analytics and operation analytics are covered as part of this course.
Who Should Attend?
Understanding business analytics
Importance of data in business
Framework of business analytics
Basics of R programming
Basics of R
Introduction to R libraries
Data structures and data types in R
Operators, control structures and functions in R
Cleaning and preprocessing data
2) Supervised learning
Classification techniques – decision tree and random forest
Regression – Simple, multiple and logistic regression
K Nearest Neighbors (KNN)
3) Unsupervised learning
Clustering techniques – K means clustering
Association Rule Learning - Apriori
Social media analysis.
Duration: 4 days
Training locations: Dedicated batches in college campuses. Contact us for details.
Call us : +91 9061 342 432 (Raynette Furtado)
Mail us : firstname.lastname@example.org