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This Big Data course will help you to master fundamental concepts of data types, including data handling, data manipulation, data storage, variety of data, the volume of data in real-time, and how to handle them in business in an effective manner.
Anyone from senior management seeking to gain or expand their knowledge in the area of Data Science. Participants will receive basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements.
FutureSkills Prime badge that can be added to your LinkedIn profile.
Certificate by Jigsaw Manipal on course completion
What will you learn in Big Data Analytics using Hadoop course?
Emerging technologies such as Data Science, analytics, and Artificial Intelligence are not only for Engineers. The Data Smart course is designed to provide an understanding of strategies and technologies required to generate efficient and insightful decisions with data. This program is specifically designed for learners who are not themselves Data Analysts/Scientists/Engineers but need to consume the output of Data Science teams.
Learners for this course will also need to translate business requirements into technical requirements for the Data Science team.
This part of the course explains the need for data, an overview of analytics, analytics terminology, analytics use cases, and an overview of algorithms.
Why you should take Big Data Analytics using Hadoop course?
Learners will be able to translate business requirements into technical requirements for the Data Science team.
After the course, they will be able to understand the need for data and be aware of analytics terminology, analytics use cases, and an overview of algorithms.
Who should take Big Data Analytics using Hadoop course?
Business leaders
Senior managers
Curriculum
The program is aimed at senior managers seeking to gain or expand their knowledge in the area of Data Science.
Participants will receive basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements.