Duration of the online course: 8 hours and 15 minutes
The "Statistics Full Course" is a comprehensive educational resource designed to provide thorough instruction in fundamental statistics principles. This course, which spans 8 hours and 15 minutes, is suitable for anyone eager to explore the basics of data science and statistical analysis.
Belonging to the Basic Studies category and focusing specifically on Statistics, this course delves into essential topics that are foundational to understanding data behavior, making informed decisions, and interpreting various data forms. The content is structured to guide learners through the intricacies of statistics, from basic concepts to more complex ideas.
Throughout the duration of the course, students will develop a solid understanding of key statistical principles. Emphasis is placed on practical applications, ensuring that learners not only grasp theoretical aspects but also understand how to apply statistical techniques to real-world data scenarios. The course material is rich with examples that demonstrate the relevance of statistics in everyday life and professional settings.
This course does not yet have any reviews, offering prospective students the unique opportunity to be among the first to benefit from and provide feedback on its curriculum. The structured approach and extensive coverage make it an ideal starting point for those new to data science or looking to reinforce their understanding of statistics.
No prior knowledge of statistics is required, making it accessible to a broad audience, including students, professionals, and anyone with a keen interest in data analysis. By the end of the course, participants will be equipped with the knowledge and skills necessary to approach data with confidence and proficiency.
Video class: Statistics - A Full University Course on Data Science Basics
8h15m
8 hours and 15 minutes of online video course
Digital certificate of course completion (Free)
Exercises to train your knowledge
100% free, from content to certificate
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