Data Analytics with R
89% of business leaders believe big data will revolutionize business operations in the same way the Internet did. Source: Accenture, Big Success with Big Data: Executive Summary
Data Science is the systematic discovery of meaningful patterns in data to support decision-making. While most organizations have ever-growing repositories of data, there are few analysis and business insights drawn from them.
Analysis of data not only requires the appropriate techniques and methods but also the right tools. One of the most powerful tools used by Data Scientists all over the world is R.
Workshop Objective
The workshop aims to equip you with essential skills in decision science with. 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
Exams:
- Multiple Choice questions
- Project completion
Certification:
- Completion Certificate
- Passing exam with 80% score and submission of project will get a certificate of achievement
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
- Data Science Enthusiasts
- Data Analysts
- Analytics Professionals
The Course will cover
- Introduction to Analytics
- Introduction to R and its libraries
- Data preparation and cleaning using R
- Visualization with R
- Exploratory data Analysis
- Regression Analysis
- Logistic Regression
- Decision trees
- Summary
