Essential Mathematics for Data Science

Offered byGreat Learning

Essential Mathematics for Data Science
at
Great Learning
Overview

Duration	1 hour
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Essential Mathematics for Data Science
at
Great Learning
Highlights

Earn a certificate of completion from Great Learning

Essential Mathematics for Data Science
at
Great Learning
Course details

More about this course

In this talk, we walk through the required mathematics to succeed in both theoretical and applied aspects of data science
Data science problems are modelled and solved using mathematical algorithms
These parameters could be estimated by a mathematical method called Ordinary Least Squares(OLS)

Essential Mathematics for Data Science
at
Great Learning
Curriculum

Syllabus

Array

Essential Mathematics for Data Science
at
Great Learning
Faculty details

Dr. D Narayana

Designation : Professor, Artificial Intelligence and Machine Learning, Great Learning Description : Dr. Narayana holds a PHD in Mathematics from Pierre and Marie Curie University, Paris, France. Dr. Narayana has more than 11 years of industry experience and over 4 years academic research experience. Over these years, he has worked as a professor, trader, project manager, team lead, and developer. His area of expertise includes Machine learning, Optimization, Financial engineering and High frequency & algorithmic trading. He is proficient in R Language, Hadoop, Python & Big Data Technologies. He has published over ten research articles in international journals and conferences. He has taught courses in Big Data technologies, guided student projects and mentored students at premier institutes.