Internship and Placement Resources
Apart from Algozenith’s AZ201 training here some awesome resources you can refer to for Core CS and Other subjects!
OS [Relative Importance : 4 (more in MCQs)]:
• 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)]:
• 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]:
• 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 ]:
• 2 Foundational Courses:
https://www.coursera.org/learn/machine-learning
https://www.coursera.org/specializations/deep-learning
• 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
• 5 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)]:
• 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!
