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What you would learn in Statistics & Probability for Data Science course?
The growing access to data has paved it possible for Data Science and Machine Learning to be a hot field of employment. This is how we define Statistics as a prerequisite for Data Science - Predictive Analytics as a chance to learn about Statistics which is vital for anyone who wants to make a profession within Data Science and Machine learning. Through this class, you'll learn the necessary college math, statistics, and practical application using Data Analytics which are necessary to know what is happening inside those black box libraries(sklearn) that you'll encounter during your Data Science Journey.
Through the course, as a student, you will learn about the various Statistics and Machine Learning topics that will apply to real-world situations.
The main goal of this methodological approach is to bring together the knowledge we acquire and show practical applications of Machine learning and Statistical Libraries beyond the black-box knowledge.
Learn the fundamentals of mathematics to develop an understanding of the subject and connect this to Machine Learning and Data Science
Hands-On Coding Implementation using Python for each mathematical subject to increase the understanding
Learn to master the advanced level using an interactive learning methodology to increase your understanding of Difficult topics. Important topics.
Know the significance of Probability and Distributions and select the appropriate method that best suits your needs.
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