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1.
Diving into Python
Advanced programming paradigms including functional programming and object-oriented concepts are covered in this Python course. Topics covered include generators for memory optimization and hashmaps for effective data storage. Students acquire the ability to create reliable Python applications..
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2.
Data Structures and Algorithms
This course covers advanced topics in data structures and algorithms after going over basic concepts. After covering basic ideas like linked lists and arrays, participants move on to more difficult subjects like dynamic programming, graph algorithms, and string algorithms.
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3.
DBMS using SQL with SSMS
Using SQL and SQL Server Management Studio (SSMS), this course offers a thorough introduction to Database Management Systems (DBMS). Fundamental ideas including database design, SQL syntax, and data manipulation are taught to participants. Optimization methods and database administration duties are examples of advanced topics.
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4.
System Design
This course on system design provides an in-depth examination of creating reliable and scalable software systems. Essential concepts like fault tolerance, availability, and scalability are taught to participants. Topics covered include caching techniques, data storage options, and distributed system design.
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5.
Operating Systems
Basic operating system concepts, such as file systems, concurrency control, memory allocation, and process management, are covered in this course. Participants investigate I/O operations, virtual memory, scheduling algorithms, and OS architectures. Students receive practical experience in system-level programming through assignments, which equips them for careers in system administration and software development.
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6.
Learn Mathematics by Coding in Python
This course offers a hands-on approach to learning mathematical concepts by fusing Python coding principles with mathematics. Through coding exercises and projects, participants learn about subjects like algebra, calculus, statistics, and linear algebra.