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Dive into a comprehensive 75-minute tutorial on Statistics for Data Science, exploring the fundamental concepts crucial for building a strong foundation in the field. Learn about different types of statistical analysis and their importance in data science. Gain practical experience by examining a popular dataset and implementing statistical concepts using Python programming. Understand why statistics is essential for working with real-time and industry-grade products in data science. Enhance your skills through a combination of theoretical learning and hands-on implementation, preparing you for a successful career in this rapidly growing domain.
Syllabus
Statistics for Data Science | Data Science tutorial | Probability and Statistics | Great Learning
Taught by
Great Learning