Data Science with Python: Exploratory Techniques to Statistical Insights
Dive into the world of data-driven decision-making. This course will teach you how to leverage Exploratory Data Analysis to unveil market trends and inform strategic choices.
What you'll learn
In a rapidly evolving tech market, understanding customer preferences and market trends is crucial for retailers like Globomantics to stay ahead. In this course, Data Science with Python: Exploratory Techniques to Statistical Insights, you’ll gain the ability to analyze complex datasets and draw meaningful insights for business strategy. First, you’ll explore the fundamentals of Exploratory Data Analysis (EDA), learning how to identify key patterns and anomalies in data. Next, you’ll discover the importance of centrality measures such as mean and median in understanding customer behavior. Finally, you’ll learn how to utilize spread measures like range, variance, and standard deviation to assess market variability and risk. When you’re finished with this course, you’ll have the skills and knowledge of data analysis needed to transform raw data into actionable business strategies.
Table of contents
About the author
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.