Advanced Data Analytics with R
As a sequel to Data Analysis to R, this course is an advanced take on data analytics. Here we cover machine learning topics like Random Forests, SVM, Neural Networks as well as advanced visualization with R. A prerequisite to this course is for participants to know how to code in R and should have completed basics of statistics
Workshop Takeaway
The 3 day workshop aims to equip you with advanced skills in decision science. With ample coverage of concepts through case studies, the aim is to demonstrate the usage of the techniques in various business scenarios.
Prerequisites
- Please carry your own laptop
- Brush up on basic statistics as they will be useful when we cover the above topics
- Install R and R Studio
Learning Outcomes and Translation to work
- Participants will be able to understand and use R as a tool for data analytics
- Participants will be able to create R codes for the above techniques
- Particpants will be able to complete medium level of complex projects in small groups
- Participants will be create visualizations using R Shiny
Intended Audience
- Data Science Enthusiasts
- Data Analysts
- Analytics Professionals
The Course will cover
- Introduction to R and its libraries
- Decision Trees
- Random Forests
- Ada Boost
- Support Vector Machines
- Neural Networks
- Market Basket Analysis
- Clustering
- Advanced Visualization in R
- Creating R web application using R Shiny
