Interview experiences – Questions you may be asked

What are your research interests?

Why did you use a technology you have used in your past projects?

Explain a real life problem you have solved?

What are the challenges you have faced during your work life?

What are the technologies you are familiar with?

What are the projects you have done using those technologies?

// Work on spark

Explain in a few sentences your work experience and a project you liked the most?

Ted Videos I want to share

A project implementing IOT.

NoSQL database

Strengthen R, Python, Java, Analysis of Algorithms

What is numeric algorithm?

To practice with R and Python –

Start learning statistics by coding with R: What are essential references for R? and experiment with real-world data: Where can I find large datasets open to the public?
Cosma Shalizi compiled some great materials on computational statistics, check out his lecture slides, and also What are some good resources for learning about statistical analysis?
I’ve found that learning statistics in a particular domain (e.g. Natural Language Processing) is much more enjoyable than taking Stats 101. My personal recommendation is the course by Michael Collins at Columbia (also available onCoursera).
You can also choose a field where the use of quantitative statistics and causality principles [7] is inevitable, say molecular biology [8], or a fun sub-field such as cancer research [9], or even narrower domain, e.g. genetic analysis of tumor angiogenesis [10] and try answering important questions in that particular field, learning what you need in the process.

Learn about optimization

Learn about information retrieval

Master algorithms and data structures

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