Building a Career in Data Science and Analytics for Professionals
- Offered byGreat Learning
Building a Career in Data Science and Analytics for Professionals at Great Learning Overview
Building a Career in Data Science and Analytics for Professionals
at Great Learning
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Building a Career in Data Science and Analytics for Professionals at Great Learning Highlights
Building a Career in Data Science and Analytics for Professionals
at Great Learning
- Earn a certificate of completion from Great Learning
Building a Career in Data Science and Analytics for Professionals at Great Learning Course details
Building a Career in Data Science and Analytics for Professionals
at Great Learning
More about this course
- In this session, you will be learning about the current trends which envelope today’s modern world of Data Science and Data Analytics
- This session is aimed at anyone willing to understand how you can get up to speed and work with these domains
- Since these two domains are vast in scope, it becomes key that you understand how you can work on learning them in a structured manner and later land a job in these fields
- There are multiple ways you can start off with both Data Science and Data Analytics but there is a good chance that you might get confused when you begin learning the convoluted concepts
Building a Career in Data Science and Analytics for Professionals at Great Learning Curriculum
Building a Career in Data Science and Analytics for Professionals
at Great Learning
Syllabus
Array
Building a Career in Data Science and Analytics for Professionals at Great Learning Faculty details
Building a Career in Data Science and Analytics for Professionals
at Great Learning
Mr. Anirudh Rao
Designation : Instructor
Description : Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.
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