I began this project while enjoying becoming a father. I wanted to use this time to expand my skills and explore a new area of expertise. This project was all about improving customer experience, something I learned was vital for businesses. During this program, I developed a deep understanding into the basics of customer experience and learned how to use different methods such as descriptive analytics, predictive analytics, prescriptive analytics to tackle real-world business challenges and make sense of raw data to improve customer experience efficiently.
Additionally, this project provided detailed information on how companies like Amazon, Google, and Starbucks use analytics to make informed decisions. This course helped me understand the history and best practices of customer analytics and how to apply them in real-world scenarios. Overall, this project was aimed to gain introductory knowledge into customer analytics and understand the basics of it.
- Understand major customer data collection methods and their impact on business decisions
- Identify tools for predicting customer behavior and their suitable applications
- Effectively communicate concepts of customer analytics and their role in business decisions
- Discuss the evolution of customer analytics and current best practices in leading firms
Please Note: During this program, there were multiple hands-on exercises and hands-on projects done using the speadsheets. I will add them here in this repo for a better visibility in upcoming months.