R For Marketing Research and Analytics

Why should you attend?

Dive into the dynamic world of marketing research and analytics with our in-depth R programming course. This course is meticulously structured to cover a broad spectrum of topics, starting with an introduction to R and its comparison with other popular languages like SAS and Python. You'll gain insight into when and why to use R for your data analysis needs. As you progress, you'll learn about basic objects, data frames, and how to load, save, and visualize data effectively. The course will guide you through the essentials of regression analysis using real-world examples such as exam grades. You'll become proficient in handling different data structures in R, including vectors, matrices, arrays, lists, and data frames. Operations on these structures are explored along with accessing their elements and applying functions. Statistical analysis takes a front seat as you delve into functions for statistical distributions and linear algebra operations that are crucial for crunching numbers efficiently. The latter part of the course emphasizes practical data analysis skills. You'll simulate various datasets and summarize variables, learning to create compelling visualizations with tools like lattice and ggplot2. Additionally, you'll explore relationships between continuous variables through correlation testing and scatterplots. Finally, the course teaches you how to uncover associations within data using advanced visualization techniques such as jitter plots and polychoric analysis while segmenting consumer data for descriptive insights.