Internship and Placement Resources
2 min readJun 15, 2021
Apart from Algozenith’s Premium training here some awesome resources you can refer to for Core CS and Other subjects!
Operating Systems [Relative Importance : 4 (more in MCQs)]:
- Reading Material and MCQs
https://maang.in/courses/OS-Crash-Course-152?tab=chapters - Short Notes
https://drive.google.com/file/d/1FAxjhyIlsGGouIyCPyR3xqKVgU7mhEmQ/view - Gavin Slides
https://www.os-book.com/OS9/slide-dir/index.html - One Awesome Video course on (OS+NETWORKS)
http://www.infocobuild.com/education/audio-video-courses/computer-science/cs162-spring2015-berkeley.html - Practice Questions
https://www.sanfoundry.com/operating-system-questions-answers/
DBMS & SQL [Relative Imp — 4 (more in Interviews)]:
- DBMS Reading Material and MCQs
https://maang.in/courses/DBMS-Crash-Course-151?tab=chapters - SQL Reading Material and MCQs
https://maang.in/courses/SQL-Crash-Course-144?tab=chapters - Korth Book Slides
https://www.db-book.com/db6/slide-dir/ - Full Video Course
http://www.infocobuild.com/education/audio-video-courses/computer-science/database-management-system-iit-kharagpur.html - Practice problems for SQL
https://www.hackerrank.com/domains/sql
Probability:
- Main Material to follow for Theory
https://projects.iq.harvard.edu/stat110 - Video Course(If you are a person who can’t read books)
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/video-lectures - Practice
AZ Course Video Problems(if in AZ-201), 50 problems in probability, and Heard on the Street Probs section.
NETWORKS [Relative Importance: 3]:
- Computer Networks Reading Material + MCQs
https://maang.in/courses/CN-Crash-Course-153?tab=chapters - Short Notes:
https://www.cse.iitk.ac.in/users/dheeraj/cs425/ - Video Course:
https://www.coursera.org/learn/computer-networking - List of MCQ questions:
https://www.sanfoundry.com/computer-network-questions-answers/
DATA-SCIENCE / ML / DL [Profile Specific Importance: 5 ]:
- Foundational Courses:
https://www.holehouse.org/mlclass/ - Revision note for ML:
https://www.holehouse.org/mlclass/ - Revision notes for DL:
https://github.com/mbadry1/DeepLearning.ai-Summary - Interview Specific Questions:
https://t.ly/DURv - For Stats Needed:
http://greenteapress.com/thinkstats2/html/index.html - Applied Idea based Resources:
https://www.kaggle.com/learn/intro-to-machine-learning
https://www.kaggle.com/learn/intermediate-machine-learning
https://www.kaggle.com/learn/intro-to-deep-learning
https://www.hackerearth.com/practice/machine-learning/
https://www.coursera.org/learn/competitive-data-science/ [Personal Fav] - Full resource list:
https://github.com/ChristosChristofidis/awesome-deep-learning
HR Questions [Relative Importance : 5 (V.IMP)]:
- Build Your Resume :
https://maang.in/courses/Build-your-MAANG-Resume-123?tab=chapters - Top HR Interview Questions and How to Answer them
https://maang.in/courses/HR-Interview-Resources-149?tab=chapters - A Great Demonstration:
https://www.youtube.com/watch?v=_QzUsyrBoVo - Minimal List of Questions:
https://www.linkedin.com/pulse/hr-interview-questions-freshers-best-answers-corp-bounty/ - Understand how HR’s are trained to perform better:
https://business.linkedin.com/content/dam/me/business/en-us/talent-solutions/resources/pdfs/linkedin-30-questions-to-identify-high-potential-candidates-ebook-8-7-17-uk-en.pdf
All the best!
