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Role of Mathematics in Data Science

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About this Live Session

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.

Our instructor

Mr. Bharani Akella

Data Scientist

2.9M+ Learners

82 Courses

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

Role of Mathematics in Data Science

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