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Python with Finance:

 

Please Note: All below course content will be covered in practical scenarios and regular assignments will be shared. All sessions will be recorded and shared with student for future reference (free of cost). Along with below course.

  1. Introduction with Python Programming
  2. Why Python
  3. Why Jupyter
  4. Installation
  5. Jupyter interface
  6. Diff between Python2.x vs Python 3.x
  7. Python variables and Data Types
  8. Variables
  9. Numbers and Boolean Values
  10. Strings
  11. Python Syntax
  12. Operators
  13. Arithmetic
  14. Logical
  15. Membership
  16. Identity
  17. Comparison
  18. Indexing elements
  19. Indentation
  20. Conditional Statements
  21. if
  22. if elif else
  23. Python Functions
  24. Defining a fn
  25. Returning value on fn call
  26. Arguments vs Parameters
  27. Calling fn in another fn
  28. Built in fn in python
  29. Python Sequences
  30. List
  31. Dictionary
  32. Set
  33. Tuple
  34. Slicing
  35. Strings and String Functions
  36. Loops in Python
  37. For
  38. While
  39. using range fn with for loop
  40. break and continue statement in loop
  41. Advance Python
  42. OOPS
  43. Inheritance
  44. Polymorphism
  45. Encapsulation
  46. Abstraction
  47. Packages and Modules
  48. Standard Library
  49. Importing modules in python
  50. Packages for finance and data science
  51. Working with Arrays
  52. Random numbers
  53. Financial data in python
  1. Sources of Financial data
  2. Accessing Notebook files
  3. Importing and organizing in Python (in 3 parts)
  4. Index of Time Series data
  5. Finance: Calculating and Comparing Rates of Return in Python
  6. Considering both rsik and return
  7. Calculating security rate of return (2 parts)
  8. Logarithm returns
  9. Portfolio of securities and calculation of rate of return
  10. Popular stock indices
  11. Calculating Indices
  12. Finance: Measuring Investment Risk
  13. Security risk Measurement
  14. Calculating risk
  15. Portfolio diversification
  16. Calculating covariance bw securities
  17. Correlation bw stocks
  18. Covariance and Correlation
  19. Risk of Multiple securities in portfolio
  20. calculating portfolio risk
  21. Systematic vs Idiosyncratic risk
  22. Diversifiable risk
  23. Finance: Using regression for Financial Analysis
  24. Simple Regression analysis
  25. Running regression in Python
  26. Distinguish good regression
  27. Computing lapha beta and R Squared in Python
  28. Finance: Markowitz Potfolio Optimization
  29. Markowitz Portfolio Theory
  30. Obtaining Efficient frontier in Python (3)
  31. Finance: The Capital Asset Pricing Model
  32. CAPM?
  33. Understanding and calculating security's Beta
  34. Beta of Stock
  35. CAPM formula
  36. Expected return of stock
  37. Sharp Ratio and practical use ?
  38. Obtaining sharp ratio in python
  39. Measurement of portfolio management performance
  40. Finance: Multivariate regression analysis
  41. Multivariate regression analysis ?
  42. Running a Multivariate regression analysis
  43. Finance: Monte Carlo simulations
  44. Monte Carlo simulations?
  45. Application in corporate finance
  46. Predicting gross profit(2)
  47. Forecasting stock prices with Monte carlo (3)
  48. Derivative Contracts
  49. Black Scholes formula for Option pricing
  50. Monte Carlo: Black-Scholes-Merton
  51. Monte Carlo: Euler Discretization - Part I
  52. Monte Carlo: Euler Discretization - Part II
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Students Testimonials

  • Seeing the demand of Python in programming, I decided to enroll for weekend classes of Python then after joining, Ankit sir took our class and from the beginning we attended all the classes..

    gaurav saini

  • Ankit sir is one of the best mentors I have ever had and he's supportive also . He's is the professional in every branch he know and....

    Anshul

  • Ankit sir is the best trainer and have best knowledge in coding he is the best teacher and also supports the idea help to develop them

    rishabh jain
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