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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.
Prerequisites
- Basic awareness of analytics and statistics
Who Should Attend?
- Students who are interested in advanced data analytics techniques
- Aspirants from science, management, engineering, economics or commerce background who wish to pursue a career in data analytics
Course Outcomes
- Advanced working knowledge in data analytics
- Ability to identify and build predictive models suitable to solve business scenarios and derive insights
- Certification of completion on successfully completing the course requirements
Course Content
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
Data cleaning
Reading data
Cleaning and preprocessing data
Modelling techniques
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
Text analytics
Social media analysis.
Duration: 4 days
Training locations: Dedicated batches in college campuses. Contact us for details.
Call us : +91 8800892097 (Amit Kumar) and +91 9447494118 (Lijin)
Mail us : in-fmdxtraining@kpmg.com
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