DSA

DSA is defined as a combination of two separate yet interrelated topics – Data Structure and Algorithms. DSA is one of the most important skills that every computer science student must-have. It is often seen that people with good knowledge of these technologies are better programmers than others and thus, crack the interviews of almost every tech giant.

Data structures enable us to organize and store data, whereas algorithms enable us to process that data in a meaningful sense. So opt for the best quality DSA Course to build & enhance your Data Structures and Algorithms foundational skills and at the same time master them to the next level.

Syllabus:

• Introduction:
• Lesson 1. Analysis of Algorithm.
• Background analysis through a Program and its functions.
• Lesson 2. Order of Growth.
• A mathematical explanation of the growth analysis through limits and functions.
• A direct way of calculating the order of growth
• Lesson 3. Asymptotic Notations.
• Best, Average and Worst case explanation through a program.
• Lesson 4. Big O Notation.
• Graphical and mathematical explanation.
• Calculation
• Applications at Linear Search
• Lesson 5. Omega Notation.
• Graphical and mathematical explanation.
• Calculation.
• Lesson 6. Theta Notation.
• Graphical and mathematical explanation.
• Calculation.
• Lesson 7. Analysis of common loops.
• Single, multiple and nested loops
• Lesson 8. Analysis of Recursion.
• Various calculations through Recursion Tree method
• Lesson 9. Space Complexity.
• Basic Programs
• Auxiliary Space
• Space Analysis of Recursion
• Space Analysis of Fibonacci number
• MATHEMATICS
• Lesson 1. Mathematics
• Count Digits
• Palindrome Numbers
• Factorial of Numbers
• GCD of Two Numbers
• LCM of Two Numbers
• Check for Prime
• Prime Factors
• Sieve of Eratosthenes
• Computing Power
• And more.