Welcome to the course Business Intelligence and Data Analytics using R !
This course provides a thorough introduction to the key concepts and techniques of Business Intelligence (BI) and Data Analytics using the R programming language. Aimed at learners from both technical and non-technical backgrounds, the course guides participants through the entire data analytics workflow—from data collection and preprocessing to modeling and visualization.
Learners will begin by exploring data cleaning and transformation methods, essential for ensuring high-quality input for analysis. The course then introduces supervised and unsupervised learning techniques, enabling participants to build predictive models and uncover hidden patterns in business data. Special emphasis is placed on practical, hands-on application of R to perform exploratory data analysis (EDA), create interactive dashboards, and generate compelling visualizations.
Participants will gain valuable insights into how data can be used to solve business problems, identify trends, and support strategic decision-making. By working with real-world datasets and business scenarios, learners will develop confidence in applying data-driven approaches to complex challenges.
By the end of the course, students will have the skills to process, analyze, and present data effectively, making them well-prepared to contribute to BI and analytics initiatives in any organizational setting.
Wish you a happy learning…
- Beginners to data analytics, business people
