How to start a career in Data Science and Analytics?
- Offered byGreat Learning
How to start a career in Data Science and Analytics? at Great Learning Overview
How to start a career in Data Science and Analytics?
at Great Learning
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
How to start a career in Data Science and Analytics? at Great Learning Highlights
How to start a career in Data Science and Analytics?
at Great Learning
- Earn a certificate of completion from Great Learning
How to start a career in Data Science and Analytics? at Great Learning Course details
How to start a career in Data Science and Analytics?
at Great Learning
More about this course
- In this session, you will be learning about the best practices and methodologies you should follow when beginning your career in today’s modern world of Data Science and Data Analytics
- To start your career in this domain, it is key that you understand the current trends and make the best use of these while starting out
- 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 is important that you understand how you can work on learning them in a structured manner and later land a job in these fields
- The instructor breaks the concepts down into bite-sized pieces along with giving you a sense of direction that you should consider when working on shaping your career in these fantastic domains
How to start a career in Data Science and Analytics? at Great Learning Curriculum
How to start a career in Data Science and Analytics?
at Great Learning
Syllabus
Array
How to start a career in Data Science and Analytics? at Great Learning Faculty details
How to start a career in Data Science and Analytics?
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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