DIPLOMA IN BIG DATA ANALYTICS WITH MONGODB

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Course Summary

The Diploma in Big Data Analytics is a comprehensive program focusing on the analysis and utilization of large and complex datasets. Students learn data collection, cleaning, integration, storage, and visualization techniques. They gain proficiency in programming languages, big data technologies, and advanced statistical and machine learning techniques. . It equips them with the skills and knowledge to extract valuable insights from big data and utilize them to drive business strategies and decision-making processes. 

Required Textbooks

1. "Big Data Analytics: Methods and Applications" by S. Srinivasan.

2. "Big Data Analytics with R and Hadoop" by Vignesh Prajapati.

3. "Big Data Analytics with Spark and Hadoop" by Venkat Ankam.

Completion Criteria

After fulfilling all of the following criteria, the student will be deemed to have finished the Module:

1. Has attended 90% of all classes held

2. Has received an average grade of 80% on all assignments

3. Has received an average of 60% in assessments

4. The tutor believes the student has grasped all of the concepts and is ready to go on to the second module.

Prerequisites

1. Fundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.

2. If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.

3. If you have absolutely no idea about programming or do not see yourself doing programming in the next six-odd months, then this class may not be for you.