GetFreeCourses.Me-Udemy-Python for Finance Investment Fundamentals & Data Analytics

1. 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 68.20 MB
2. 02. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 55.73 MB
3. 10. Advanced Python tools/14. Sources of Financial Data.mp4 39.69 MB
4. 10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 37.71 MB
5. 03. Python Variables and Data Types/1. Variables.mp4 27.25 MB
6. 10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 24.63 MB
7. 10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 19.27 MB
8. 02. Introduction to programming with Python/3. Why Python.mp4 16.04 MB
9. 16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 15.76 MB
10. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.50 MB
11. 02. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 15.26 MB
12. 02. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 13.91 MB
13. 01. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13.37 MB
14. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.34 MB
15. 02. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.60 MB
16. 14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 11.88 MB
17. 14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11.09 MB
18. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11.08 MB
19. 12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11.02 MB
20. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 10.81 MB
21. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.mp4 10.44 MB
22. 10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp4 10.43 MB
23. 13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.mp4 10.28 MB
24. 13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.mp4 10.27 MB
25. 10. Advanced Python tools/15. Accessing the Notebook Files.mp4 10.19 MB
26. 02. Introduction to programming with Python/5. Why Jupyter.mp4 10.09 MB
27. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.mp4 9.57 MB
28. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.mp4 9.53 MB
29. 12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp4 9.52 MB
30. 16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 9.45 MB
31. 03. Python Variables and Data Types/5. Strings.mp4 9.29 MB
32. 14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp4 9.01 MB
33. 10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp4 8.93 MB
34. 10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp4 8.84 MB
35. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.mp4 8.58 MB
36. 12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp4 8.58 MB
37. 01. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp4 8.41 MB
38. 06. Conditional Statements/4. Else if, for Brief – ELIF.mp4 8.34 MB
39. 10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp4 8.24 MB
40. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.mp4 8.18 MB
41. 10. Advanced Python tools/11. Working with arrays.mp4 8.09 MB
42. 05. Python Operators Continued/3. Logical and Identity Operators.mp4 8.06 MB
43. 12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp4 7.93 MB
44. 13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.mp4 7.83 MB
45. 15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 7.70 MB
46. 08. Python Sequences/5. List Slicing.mp4 7.53 MB
47. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.mp4 7.27 MB
48. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.mp4 7.23 MB
49. 12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 7.21 MB
50. 10. Advanced Python tools/1. Object Oriented Programming.mp4 7.04 MB