Role of Mathematics in Data Science & How to Learn? | Great Learning - Naukri Jobs Courses

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Friday, 19 March 2021

Role of Mathematics in Data Science & How to Learn? | Great Learning






🔥Get the Course material and session PDF here: https://glacad.me/36RSqRv

Great Learning brings you this live session on “Role of Mathematics in Data Science”. In this session, we will comprehensively learn about the need for maths in the field of data science. Once we understand the need for Maths, we will look at some important topics that everyone needs to know. We will start off by learning about the fundamentals of statistics such as measures of central tendency and measures of deviation. Going ahead, we will dive into the field of probability. We will understand the basics of probability and then we will learn about conditional probability and learn about this theorem called Bayes Theorem. Further, we will learn about normal distribution and understand why is it so important in the field of data science. All of these would form the pillars of data science in terms of mathematics. The best part of this session is, it is not only concept-based, but we will also be working on a lot of questions as well. Once the live session is done, there will also be a QnA, where you can ask all your queries.

Visit Great Learning Academy, to get access to 200+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE

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About Great Learning:
– Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

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