| 01 Getting Started | |||
| 001 Tips How to get the most out of this Course (don t skip).en.srt | 6.53 KB | ||
| 001 Tips How to get the most out of this Course (don t skip).mp4 | 37.57 MB | ||
| 002 FAQ Your Questions answered.html | 6.24 KB | ||
| 003 How to download and install Anaconda for Python coding.en.srt | 8.83 KB | ||
| 003 How to download and install Anaconda for Python coding.mp4 | 71 MB | ||
| 004 Jupyter Notebooks - let s get started.en.srt | 10.88 KB | ||
| 004 Jupyter Notebooks - let s get started.mp4 | 50.91 MB | ||
| 005 How to work with Jupyter Notebooks.en.srt | 16.94 KB | ||
| 005 How to work with Jupyter Notebooks.mp4 | 53.47 MB | ||
| 02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ---- | |||
| 006 Course-Materials-Part1.zip | 252.26 KB | ||
| 006 Overview Download of Course Materials for Part 1.en.srt | 6.18 KB | ||
| 006 Overview Download of Course Materials for Part 1.mp4 | 30.37 MB | ||
| 007 Coding Projects Part 1 - Overview.en.srt | 2.18 KB | ||
| 007 Coding Projects Part 1 - Overview.mp4 | 15.36 MB | ||
| 007 Python-for-Finance-Projects-Part1.pdf | 512.83 KB | ||
| 03 How to use Python as a Calculator for basic Time Value of Money Problems | |||
| 008 Intro to the Time Value of Money (TVM) Concept (Theory).en.srt | 7.48 KB | ||
| 008 Intro to the Time Value of Money (TVM) Concept (Theory).mp4 | 16.49 MB | ||
| 008 TVM.pdf | 195.76 KB | ||
| 009 Calculate Future Values (FV) with Python Compounding.en.srt | 4.21 KB | ||
| 009 Calculate Future Values (FV) with Python Compounding.mp4 | 12.75 MB | ||
| 010 Calculate Present Values (FV) with Python Discounting.en.srt | 3.07 KB | ||
| 010 Calculate Present Values (FV) with Python Discounting.mp4 | 10.06 MB | ||
| 011 Interest Rates and Returns (Theory).en.srt | 5.94 KB | ||
| 011 Interest Rates and Returns (Theory).mp4 | 14.19 MB | ||
| 011 Interest-Rates.pdf | 187.82 KB | ||
| 012 Calculate Interest Rates and Returns with Python.en.srt | 4.71 KB | ||
| 012 Calculate Interest Rates and Returns with Python.mp4 | 19.27 MB | ||
| 013 Introduction to Variables.en.srt | 6.3 KB | ||
| 013 Introduction to Variables.mp4 | 18.13 MB | ||
| 014 Variables and Memory (Theory).en.srt | 2.38 KB | ||
| 014 Variables and Memory (Theory).mp4 | 5.48 MB | ||
| 014 Variables.pdf | 142.98 KB | ||
| 015 Excursus How to add inline comments.en.srt | 3.57 KB | ||
| 015 Excursus How to add inline comments.mp4 | 11.25 MB | ||
| 016 More on Variables and Memory.en.srt | 8.11 KB | ||
| 016 More on Variables and Memory.mp4 | 22.22 MB | ||
| 017 Variables - Dos Don ts and Conventions.en.srt | 4.79 KB | ||
| 017 Variables - Dos Don ts and Conventions.mp4 | 17.06 MB | ||
| 017 keywords.pdf | 69.44 KB | ||
| 018 The print() Function.en.srt | 5.14 KB | ||
| 018 The print() Function.mp4 | 17.41 MB | ||
| 019 Coding Exercise 1.en.srt | 11.39 KB | ||
| 019 Coding Exercise 1.mp4 | 46.86 MB | ||
| 04 How to use Lists and For Loops for TVM Problems with many Cashflows | |||
| 020 FV-many.pdf | 175.95 KB | ||
| 020 TVM Problems with many Cashflows.en.srt | 4.46 KB | ||
| 020 TVM Problems with many Cashflows.mp4 | 10.49 MB | ||
| 021 Intro to Python Lists.en.srt | 2.88 KB | ||
| 021 Intro to Python Lists.mp4 | 7.76 MB | ||
| 022 Indexing.pdf | 122.88 KB | ||
| 022 Zero-based Indexing and negative Indexing in Python (Theory).en.srt | 3.14 KB | ||
| 022 Zero-based Indexing and negative Indexing in Python (Theory).mp4 | 7.44 MB | ||
| 023 Indexing Lists.en.srt | 3.78 KB | ||
| 023 Indexing Lists.mp4 | 13.86 MB | ||
| 024 For Loops - Iterating over Lists.en.srt | 9.64 KB | ||
| 024 For Loops - Iterating over Lists.mp4 | 29.91 MB | ||
| 025 The range Object - another Iterable.en.srt | 5.67 KB | ||
| 025 The range Object - another Iterable.mp4 | 17.09 MB | ||
| 026 Calculate FV and PV for many Cashflows.en.srt | 9.04 KB | ||
| 026 Calculate FV and PV for many Cashflows.mp4 | 33.53 MB | ||
| 026 PV-FV-many.pdf | 194.55 KB | ||
| 027 NPV.pdf | 245.66 KB | ||
| 027 The Net Present Value - NPV (Theory).en.srt | 9.52 KB | ||
| 027 The Net Present Value - NPV (Theory).mp4 | 33.29 MB | ||
| 028 Calculate an Investment Project s NPV.en.srt | 3.61 KB | ||
| 028 Calculate an Investment Project s NPV.mp4 | 14.34 MB | ||
| 029 Coding Exercise 2.en.srt | 10.17 KB | ||
| 029 Coding Exercise 2.mp4 | 37.98 MB | ||
| 05 100 Python Objects Data Types Operators Functional Programming | |||
| 030 Data Types in Action.en.srt | 7.16 KB | ||
| 030 Data Types in Action.mp4 | 24.34 MB | ||
| 031 The Data Type Hierarchy (Theory).en.srt | 4.29 KB | ||
| 031 The Data Type Hierarchy (Theory).mp4 | 10.78 MB | ||
| 031 Type-Hierarchy.pdf | 162.43 KB | ||
| 032 Excursus Dynamic Typing in Python.en.srt | 1.97 KB | ||
| 032 Excursus Dynamic Typing in Python.mp4 | 5.19 MB | ||
| 033 Build-in Functions.en.srt | 7.42 KB | ||
| 033 Build-in Functions.mp4 | 25.37 MB | ||
| 033 Built-in-func.pdf | 92.61 KB | ||
| 034 Integers.en.srt | 3.83 KB | ||
| 034 Integers.mp4 | 10.98 MB | ||
| 035 Floats.en.srt | 7.09 KB | ||
| 035 Floats.mp4 | 24.33 MB | ||
| 036 How to round Floats (and Integers) with round().en.srt | 6.53 KB | ||
| 036 How to round Floats (and Integers) with round().mp4 | 20.91 MB | ||
| 037 More on Lists.en.srt | 6.28 KB | ||
| 037 More on Lists.mp4 | 24.6 MB | ||
| 038 Lists and Element-wise Operations.en.srt | 5.5 KB | ||
| 038 Lists and Element-wise Operations.mp4 | 17.59 MB | ||
| 039 Slicing Lists.en.srt | 5.12 KB | ||
| 039 Slicing Lists.mp4 | 20.12 MB | ||
| 040 Slicing Cheat Sheet.html | 968 B | ||
| 040 Slicing-cheatsheet.pdf | 105.28 KB | ||
| 041 Changing Elements in Lists.en.srt | 3.39 KB | ||
| 041 Changing Elements in Lists.mp4 | 10.11 MB | ||
| 042 Sorting and Reversing Lists.en.srt | 4.3 KB | ||
| 042 Sorting and Reversing Lists.mp4 | 13.19 MB | ||
| 043 Adding and removing Elements fromto Lists.en.srt | 11.67 KB | ||
| 043 Adding and removing Elements fromto Lists.mp4 | 38.54 MB | ||
| 044 Mutable vs. immutable Objects (Part 1).en.srt | 10.34 KB | ||
| 044 Mutable vs. immutable Objects (Part 1).mp4 | 34.49 MB | ||
| 045 Mutability.pdf | 166.46 KB | ||
| 045 Mutable vs. immutable Objects (Part 2).en.srt | 5.72 KB | ||
| 045 Mutable vs. immutable Objects (Part 2).mp4 | 21.85 MB | ||
| 046 Coding Exercise 3.en.srt | 13.33 KB | ||
| 046 Coding Exercise 3.mp4 | 53.78 MB | ||
| 047 Tuples.en.srt | 8.12 KB | ||
| 047 Tuples.mp4 | 29.78 MB | ||
| 048 Dictionaries.en.srt | 7.92 KB | ||
| 048 Dictionaries.mp4 | 31.01 MB | ||
| 049 Intro to Strings.en.srt | 10.1 KB | ||
| 049 Intro to Strings.mp4 | 40.84 MB | ||
| 050 String Replacement.en.srt | 4.93 KB | ||
| 050 String Replacement.mp4 | 17.3 MB | ||
| 051 Booleans.en.srt | 2.82 KB | ||
| 051 Booleans.mp4 | 8.87 MB | ||
| 052 Operators (Theory).en.srt | 5.34 KB | ||
| 052 Operators (Theory).mp4 | 11.71 MB | ||
| 052 Operators.pdf | 145.62 KB | ||
| 053 Comparison Logical and Membership Operators in Action.en.srt | 9.26 KB | ||
| 053 Comparison Logical and Membership Operators in Action.mp4 | 35.52 MB | ||
| 054 Coding Exercise 4.en.srt | 10.63 KB | ||
| 054 Coding Exercise 4.mp4 | 42.3 MB | ||
| 06 How to solve for IRR YTM with While Loops and Conditional Statements | |||
| 055 Conditional Statements.en.srt | 11.11 KB | ||
| 055 Conditional Statements.mp4 | 38.63 MB | ||
| 056 Keywords pass continue and break.en.srt | 11.4 KB | ||
| 056 Keywords pass continue and break.mp4 | 39.4 MB | ||
| 057 Calculate a Project s Payback Period.en.srt | 5.81 KB | ||
| 057 Calculate a Project s Payback Period.mp4 | 21.87 MB | ||
| 058 While Loops.en.srt | 8.75 KB | ||
| 058 While Loops.mp4 | 35.63 MB | ||
| 059 IRR.pdf | 243.01 KB | ||
| 059 The Internal Rate of Return - IRR (Theory).en.srt | 7.1 KB | ||
| 059 The Internal Rate of Return - IRR (Theory).mp4 | 23.91 MB | ||
| 060 Solving for a Project s IRR.en.srt | 13.37 KB | ||
| 060 Solving for a Project s IRR.mp4 | 60.77 MB | ||
| 061 Bonds and the Yield to Maturity - YTM (Theory).en.srt | 11.82 KB | ||
| 061 Bonds and the Yield to Maturity - YTM (Theory).mp4 | 36.99 MB | ||
| 061 Bonds-YTM.pdf | 178.61 KB | ||
| 062 Solving for a Bond s Yield to Maturity (YTM).en.srt | 3.3 KB | ||
| 062 Solving for a Bond s Yield to Maturity (YTM).mp4 | 12.53 MB | ||
| 063 Coding Exercise 5.en.srt | 12.33 KB | ||
| 063 Coding Exercise 5.mp4 | 55.81 MB | ||
| GetFreeCourses.Co.url | 116 B | ||
| 07 How to create great graphs with Matplotlib - Plotting NPV and IRR | |||
| 064 Intro.en.srt | 1.7 KB | ||
| 064 Intro.mp4 | 14.48 MB | ||
| 065 Line Plots.en.srt | 6.46 KB | ||
| 065 Line Plots.mp4 | 23.34 MB | ||
| 066 Scatter Plots.en.srt | 2.39 KB | ||
| 066 Scatter Plots.mp4 | 7.22 MB | ||
| 067 Customizing Plots (Part 1).en.srt | 6.79 KB | ||
| 067 Customizing Plots (Part 1).mp4 | 24.42 MB | ||
| 068 Customizing Plots (Part 2).en.srt | 12.94 KB | ||
| 068 Customizing Plots (Part 2).mp4 | 80.42 MB | ||
| 069 Plotting NPV IRR.en.srt | 10.12 KB | ||
| 069 Plotting NPV IRR.mp4 | 40.68 MB | ||
| 070 Coding Exercise 6.html | 1016 B | ||
| 08 The Numpy Package Working with numbers made easy | |||
| 071 Modules Packages and Libraries - No need to reinvent the Wheel.en.srt | 8.89 KB | ||
| 071 Modules Packages and Libraries - No need to reinvent the Wheel.mp4 | 32.03 MB | ||
| 072 Numpy Arrays.en.srt | 9.46 KB | ||
| 072 Numpy Arrays.mp4 | 35.72 MB | ||
| 073 Indexing and Slicing Numpy Arrays.en.srt | 3.25 KB | ||
| 073 Indexing and Slicing Numpy Arrays.mp4 | 13.67 MB | ||
| 074 Vectorized Operations with Numpy Arrays.en.srt | 4.67 KB | ||
| 074 Vectorized Operations with Numpy Arrays.mp4 | 18.73 MB | ||
| 075 Changing Elements in Numpy Arrays Mutability.en.srt | 6.61 KB | ||
| 075 Changing Elements in Numpy Arrays Mutability.mp4 | 24.52 MB | ||
| 075 Mutability-arrays.pdf | 121.74 KB | ||
| 076 Slicing-arrays.pdf | 122.52 KB | ||
| 076 View vs. copy - potential Pitfalls when slicing Numpy Arrays.en.srt | 5.61 KB | ||
| 076 View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 | 19.27 MB | ||
| 077 Numpy Array Methods and Attributes.en.srt | 6.11 KB | ||
| 077 Numpy Array Methods and Attributes.mp4 | 21.97 MB | ||
| 078 Numpy Universal Functions.en.srt | 4.61 KB | ||
| 078 Numpy Universal Functions.mp4 | 17.77 MB | ||
| 079 Boolean Arrays and Conditional Filtering.en.srt | 5.51 KB | ||
| 079 Boolean Arrays and Conditional Filtering.mp4 | 18.14 MB | ||
| 080 Advanced Filtering Bitwise Operators.en.srt | 7 KB | ||
| 080 Advanced Filtering Bitwise Operators.mp4 | 28.31 MB | ||
| 081 Determining a Project s Payback Period with np.where().en.srt | 6.14 KB | ||
| 081 Determining a Project s Payback Period with np.where().mp4 | 22.53 MB | ||
| 082 Creating Numpy Arrays from Scratch.en.srt | 6.3 KB | ||
| 082 Creating Numpy Arrays from Scratch.mp4 | 37.86 MB | ||
| 083 Coding Exercise 7.en.srt | 13.4 KB | ||
| 083 Coding Exercise 7.mp4 | 73.13 MB | ||
| 09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy | |||
| 084 Evaluating Investments with np.npv() and np.irr().en.srt | 5.65 KB | ||
| 084 Evaluating Investments with np.npv() and np.irr().mp4 | 22.24 MB | ||
| 085 Annuity.pdf | 187 KB | ||
| 085 Evaluating Annuities with np.fv() - Funding Phase.en.srt | 8.84 KB | ||
| 085 Evaluating Annuities with np.fv() - Funding Phase.mp4 | 32.8 MB | ||
| 086 Evaluating Annuities with np.fv() - Payout Phase.en.srt | 6.66 KB | ||
| 086 Evaluating Annuities with np.fv() - Payout Phase.mp4 | 24.4 MB | ||
| 087 How to solve for annuity payments with np.pmt().en.srt | 4.11 KB | ||
| 087 How to solve for annuity payments with np.pmt().mp4 | 15.78 MB | ||
| 088 How to solve for the number of periodic payments with np.nper().en.srt | 3.45 KB | ||
| 088 How to solve for the number of periodic payments with np.nper().mp4 | 12.7 MB | ||
| 089 How to calculate the required Contract Value with np.pv().en.srt | 4.08 KB | ||
| 089 How to calculate the required Contract Value with np.pv().mp4 | 15.27 MB | ||
| 090 Frequency of compounding and the effective annual interest rate.en.srt | 7.17 KB | ||
| 090 Frequency of compounding and the effective annual interest rate.mp4 | 21.81 MB | ||
| 091 How to evaluate a Retirement Plan A-Z.en.srt | 8.79 KB | ||
| 091 How to evaluate a Retirement Plan A-Z.mp4 | 31.97 MB | ||
| 092 Retirement Plan Sensitivity Analysis.en.srt | 8.1 KB | ||
| 092 Retirement Plan Sensitivity Analysis.mp4 | 30.76 MB | ||
| 093 Mortgage Loan Analysis - Debt Sizing.en.srt | 9.3 KB | ||
| 093 Mortgage Loan Analysis - Debt Sizing.mp4 | 39.07 MB | ||
| 093 Mortgage.pdf | 152.86 KB | ||
| 094 Mortgage Loan Analysis - Interest Payments and Amortization Schedule.en.srt | 13.89 KB | ||
| 094 Mortgage Loan Analysis - Interest Payments and Amortization Schedule.mp4 | 81.35 MB | ||
| 095 Calculate PV of equal installments with np.pv() - Valuation of Bonds.en.srt | 3.2 KB | ||
| 095 Calculate PV of equal installments with np.pv() - Valuation of Bonds.mp4 | 10.15 MB | ||
| 096 Capital Budgeting - Mutually exclusive Projects (Part 1).en.srt | 4.15 KB | ||
| 096 Capital Budgeting - Mutually exclusive Projects (Part 1).mp4 | 23.06 MB | ||
| 097 Capital Budgeting - Mutually exclusive Projects (Part 2).en.srt | 7.11 KB | ||
| 097 Capital Budgeting - Mutually exclusive Projects (Part 2).mp4 | 40.99 MB | ||
| 098 Capital Budgeting - Mutually exclusive Projects (Part 3).en.srt | 4.31 KB | ||
| 098 Capital Budgeting - Mutually exclusive Projects (Part 3).mp4 | 18.67 MB | ||
| 098 Capital-budgeting.pdf | 222.85 KB | ||
| 099 Coding Exercise 8.html | 1016 B | ||
| 10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY --- | |||
| 100 Overview.pdf | 1022.89 KB | ||
| 100 Statistics - Overview Terms and Vocabulary.en.srt | 15.05 KB | ||
| 100 Statistics - Overview Terms and Vocabulary.mp4 | 95.73 MB | ||
| 101 Coding Projects Part 2 - Overview.en.srt | 2.88 KB | ||
| 101 Coding Projects Part 2 - Overview.mp4 | 21.07 MB | ||
| 101 Python-for-Finance-Projects-Part2.pdf | 462.83 KB | ||
| 102 Course-Materials-Part2.zip | 69.13 KB | ||
| 102 Download of Part 2 Course Materials.en.srt | 5.2 KB | ||
| 102 Download of Part 2 Course Materials.mp4 | 30.19 MB | ||
| 11 How to perform Descriptive Statistics on Populations and Samples | |||
| 103 Population vs. Sample.en.srt | 7.9 KB | ||
| 103 Population vs. Sample.mp4 | 43.91 MB | ||
| 104 Visualizing Frequency Distributions with plt.hist().en.srt | 4.5 KB | ||
| 104 Visualizing Frequency Distributions with plt.hist().mp4 | 22.65 MB | ||
| 105 Relative and Cumulative Frequencies with plt.hist().en.srt | 5.93 KB | ||
| 105 Relative and Cumulative Frequencies with plt.hist().mp4 | 36.43 MB | ||
| 106 Central-tend.pdf | 299.27 KB | ||
| 106 Measures of Central Tendency (Theory).en.srt | 6.47 KB | ||
| 106 Measures of Central Tendency (Theory).mp4 | 20.74 MB | ||
| 107 Coding Measures of Central Tendency - Mean and Median.en.srt | 4.45 KB | ||
| 107 Coding Measures of Central Tendency - Mean and Median.mp4 | 22.33 MB | ||
| 108 Coding Measures of Central Tendency - Geometric Mean.en.srt | 4.87 KB | ||
| 108 Coding Measures of Central Tendency - Geometric Mean.mp4 | 16.56 MB | ||
| 109 Excursus Why Log Returns are useful.en.srt | 3.32 KB | ||
| 109 Excursus Why Log Returns are useful.mp4 | 12.4 MB | ||
| 110 Dispersion.pdf | 298.92 KB | ||
| 110 Variability around the Central Tendency Dispersion (Theory).en.srt | 7.83 KB | ||
| 110 Variability around the Central Tendency Dispersion (Theory).mp4 | 27.68 MB | ||
| 111 Minimum Maximum and Range with PythonNumpy.en.srt | 2.48 KB | ||
| 111 Minimum Maximum and Range with PythonNumpy.mp4 | 12.3 MB | ||
| 112 Percentiles with PythonNumpy.en.srt | 4.11 KB | ||
| 112 Percentiles with PythonNumpy.mp4 | 17.57 MB | ||
| 113 Variance and Standard Deviation with PythonNumpy.en.srt | 4 KB | ||
| 113 Variance and Standard Deviation with PythonNumpy.mp4 | 16.35 MB | ||
| 114 Skew and Kurtosis (Theory).en.srt | 5.24 KB | ||
| 114 Skew and Kurtosis (Theory).mp4 | 18.03 MB | ||
| 114 skew-kurtosis.pdf | 425.14 KB | ||
| 115 How to calculate Skew and Kurtosis with scipy.stats.en.srt | 6.86 KB | ||
| 115 How to calculate Skew and Kurtosis with scipy.stats.mp4 | 27.45 MB | ||
| 116 Coding Exercise 1.html | 1016 B | ||
| 12 Common Probability Distributions and how to construct Confidence Intervals | |||
| 117 How to generate Random Numbers with Numpy.en.srt | 5.52 KB | ||
| 117 How to generate Random Numbers with Numpy.mp4 | 25.19 MB | ||
| 118 Reproducibility with np.random.seed().en.srt | 4.28 KB | ||
| 118 Reproducibility with np.random.seed().mp4 | 17.25 MB | ||
| 119 Prob-distr.pdf | 477.98 KB | ||
| 119 Probability Distributions - Overview.en.srt | 7.91 KB | ||
| 119 Probability Distributions - Overview.mp4 | 35.68 MB | ||
| 120 Discrete Uniform Distributions.en.srt | 7.06 KB | ||
| 120 Discrete Uniform Distributions.mp4 | 28.2 MB | ||
| 121 Continuous Uniform Distributions.en.srt | 4.7 KB | ||
| 121 Continuous Uniform Distributions.mp4 | 20.11 MB | ||
| 122 Normal.pdf | 412.36 KB | ||
| 122 The Normal Distribution (Theory).en.srt | 6.83 KB | ||
| 122 The Normal Distribution (Theory).mp4 | 18.43 MB | ||
| 123 Creating a normally distributed Random Variable.en.srt | 6.48 KB | ||
| 123 Creating a normally distributed Random Variable.mp4 | 24.11 MB | ||
| 124 Normal Distribution - Probability Density Function (pdf) with scipy.stats.en.srt | 4.46 KB | ||
| 124 Normal Distribution - Probability Density Function (pdf) with scipy.stats.mp4 | 26.92 MB | ||
| 125 Normal Distribution - Cumulative Distribution Function (cdf) with scipy.stats.en.srt | 3.25 KB | ||
| 125 Normal Distribution - Cumulative Distribution Function (cdf) with scipy.stats.mp4 | 15.38 MB | ||
| 126 The Standard Normal Distribution and Z-Values.en.srt | 7.41 KB | ||
| 126 The Standard Normal Distribution and Z-Values.mp4 | 38.63 MB | ||
| 127 Properties of the Standard Normal Distribution (Theory).en.srt | 3.7 KB | ||
| 127 Properties of the Standard Normal Distribution (Theory).mp4 | 14.84 MB | ||
| 127 standard-normal.pdf | 393.93 KB | ||
| 128 Probabilities and Z-Values with scipy.stats.en.srt | 12.74 KB | ||
| 128 Probabilities and Z-Values with scipy.stats.mp4 | 59.27 MB | ||
| 129 Confidence Intervals with scipy.stats.en.srt | 8.46 KB | ||
| 129 Confidence Intervals with scipy.stats.mp4 | 48.12 MB | ||
| 130 Coding Exercise 2.html | 1016 B | ||
| 13 How to estimate Population parameters with Samples - Sampling and Estimation | |||
| 131 Sample Statistic Sampling Error and Sampling Distribution (Theory).en.srt | 6.45 KB | ||
| 131 Sample Statistic Sampling Error and Sampling Distribution (Theory).mp4 | 33.91 MB | ||
| 131 Sampling.pdf | 773.8 KB | ||
| 132 Sampling with np.random.choice().en.srt | 5.06 KB | ||
| 132 Sampling with np.random.choice().mp4 | 20.64 MB | ||
| 133 Sampling Distribution.en.srt | 4.9 KB | ||
| 133 Sampling Distribution.mp4 | 21.58 MB | ||
| 134 Standard Error.en.srt | 3.08 KB | ||
| 134 Standard Error.mp4 | 10.65 MB | ||
| 135 Central Limit Theorem (Coding Part 1).en.srt | 4.99 KB | ||
| 135 Central Limit Theorem (Coding Part 1).mp4 | 26.3 MB | ||
| 136 Central Limit Theorem (Coding Part 2).en.srt | 6.3 KB | ||
| 136 Central Limit Theorem (Coding Part 2).mp4 | 30.34 MB | ||
| 137 Central Limit Theorem (Theory).en.srt | 4.42 KB | ||
| 137 Central Limit Theorem (Theory).mp4 | 16.98 MB | ||
| 137 central-limit-th.pdf | 341.14 KB | ||
| 138 Point Estimates vs. Confidence Interval Estimates (known Population Variance).en.srt | 5.48 KB | ||
| 138 Point Estimates vs. Confidence Interval Estimates (known Population Variance).mp4 | 23.42 MB | ||
| 139 The Student s t-distribution What is it and whywhen do we use it.en.srt | 5.63 KB | ||
| 139 The Student s t-distribution What is it and whywhen do we use it.mp4 | 20.14 MB | ||
| 139 studentsT.pdf | 569.17 KB | ||
| 140 Unknown Population Variance - the Standard Case (Example 1).en.srt | 5.67 KB | ||
| 140 Unknown Population Variance - the Standard Case (Example 1).mp4 | 26.34 MB | ||
| 141 Unknown Population Variance - the Standard Case (Example 2).en.srt | 3.63 KB | ||
| 141 Unknown Population Variance - the Standard Case (Example 2).mp4 | 17.8 MB | ||
| 142 Student s t-Distribution vs. Normal Distribution with scipy.stats.en.srt | 6.3 KB | ||
| 142 Student s t-Distribution vs. Normal Distribution with scipy.stats.mp4 | 29.63 MB | ||
| 143 Bootstrapping with Python an alternative method without Statistics.en.srt | 6.53 KB | ||
| 143 Bootstrapping with Python an alternative method without Statistics.mp4 | 28.05 MB | ||
| 144 Coding Exercise 3.html | 1016 B | ||
| 14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more | |||
| 145 Hypothesis Testing (Theory).en.srt | 12.59 KB | ||
| 145 Hypothesis Testing (Theory).mp4 | 50.95 MB | ||
| 145 Hypothesis.pdf | 507.37 KB | ||
| 146 Two-tailed Z-Test with known Population Variance.en.srt | 11.4 KB | ||
| 146 Two-tailed Z-Test with known Population Variance.mp4 | 52.74 MB | ||
| 147 What is the p-value (Theory).en.srt | 4.28 KB | ||
| 147 What is the p-value (Theory).mp4 | 13.03 MB | ||
| 147 p-value.pdf | 345.54 KB | ||
| 148 Calculating and interpreting z-statistic and p-value with scipy.stats.en.srt | 4.62 KB | ||
| 148 Calculating and interpreting z-statistic and p-value with scipy.stats.mp4 | 22.19 MB | ||
| 149 One-tailed Z-Test with known Population Variance.en.srt | 7.32 KB | ||
| 149 One-tailed Z-Test with known Population Variance.mp4 | 31.2 MB | ||
| 150 Two-tailed t-Test (unknown Population Variance).en.srt | 8.53 KB | ||
| 150 Two-tailed t-Test (unknown Population Variance).mp4 | 38.81 MB | ||
| 151 One-tailed t-Test (unknown Population Variance).en.srt | 3.7 KB | ||
| 151 One-tailed t-Test (unknown Population Variance).mp4 | 15.56 MB | ||
| 152 Hypothesis Testing with Bootstrapping.en.srt | 6.54 KB | ||
| 152 Hypothesis Testing with Bootstrapping.mp4 | 32.46 MB | ||
| 153 Testing for Normality of Financial Returns with scipy.stats.en.srt | 11.79 KB | ||
| 153 Testing for Normality of Financial Returns with scipy.stats.mp4 | 49.49 MB | ||
| 154 Coding Exercise 4.html | 1016 B | ||
| 15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) --- | |||
| 155 Course-Materials-Part3.zip | 92.41 KB | ||
| 155 Overview Download of Course Materials for Part 3.en.srt | 2.79 KB | ||
| 155 Overview Download of Course Materials for Part 3.mp4 | 11.28 MB | ||
| 156 Coding Projects Part 3 - Overview.en.srt | 3.38 KB | ||
| 156 Coding Projects Part 3 - Overview.mp4 | 18.91 MB | ||
| 156 Coding-Projects-Part3.pdf | 463.86 KB | ||
| 16 n-dimensional Numpy Arrays How to work with numerical Tabular Data | |||
| 157 How to work with nested Lists.en.srt | 5.32 KB | ||
| 157 How to work with nested Lists.mp4 | 18.25 MB | ||
| 158 2-dimensional Numpy Arrays.en.srt | 4.58 KB | ||
| 158 2-dimensional Numpy Arrays.mp4 | 16.13 MB | ||
| 159 How to slice 2-dim Numpy Arrays (Part 1).en.srt | 6.61 KB | ||
| 159 How to slice 2-dim Numpy Arrays (Part 1).mp4 | 28.92 MB | ||
| 160 How to slice 2-dim Numpy Arrays (Part 2).en.srt | 2.36 KB | ||
| 160 How to slice 2-dim Numpy Arrays (Part 2).mp4 | 8.76 MB | ||
| 161 Recap Changing Elements in a Numpy Array slice.en.srt | 4.47 KB | ||
| 161 Recap Changing Elements in a Numpy Array slice.mp4 | 16.51 MB | ||
| 162 How to perform row-wise and column-wise Operations.en.srt | 5.42 KB | ||
| 162 How to perform row-wise and column-wise Operations.mp4 | 22.48 MB | ||
| 163 Reshaping and Transposing 2-dim Numpy Arrays.en.srt | 5.65 KB | ||
| 163 Reshaping and Transposing 2-dim Numpy Arrays.mp4 | 24.65 MB | ||
| 164 Creating 2-dim Numpy Arrays from Scratch.en.srt | 4.49 KB | ||
| 164 Creating 2-dim Numpy Arrays from Scratch.mp4 | 16.88 MB | ||
| 165 Arithmetic Vectorized Operations with 2-dim Numpy Arrays.en.srt | 6.3 KB | ||
| 165 Arithmetic Vectorized Operations with 2-dim Numpy Arrays.mp4 | 27.5 MB | ||
| 166 The keepdims parameter.en.srt | 4.53 KB | ||
| 166 The keepdims parameter.mp4 | 20.76 MB | ||
| 167 Adding Removing Elements.en.srt | 4.48 KB | ||
| 167 Adding Removing Elements.mp4 | 16.49 MB | ||
| 168 Merging and Concatenating Numpy Arrays.en.srt | 4.49 KB | ||
| 168 Merging and Concatenating Numpy Arrays.mp4 | 18.72 MB | ||
| 169 Coding Exercise 1.html | 1016 B | ||
| 17 How to create your own user-defined Functions | |||
| 170 Defining your first user-defined Function.en.srt | 7.43 KB | ||
| 170 Defining your first user-defined Function.mp4 | 27.36 MB | ||
| 171 What s the difference between Positional Arguments vs. Keyword Arguments.en.srt | 7.29 KB | ||
| 171 What s the difference between Positional Arguments vs. Keyword Arguments.mp4 | 36.35 MB | ||
| 172 How to work with Default Arguments.en.srt | 6.76 KB | ||
| 172 How to work with Default Arguments.mp4 | 28.47 MB | ||
| 173 The Default Argument None.en.srt | 7.63 KB | ||
| 173 The Default Argument None.mp4 | 26.8 MB | ||
| 174 How to unpack Iterables.en.srt | 5.64 KB | ||
| 174 How to unpack Iterables.mp4 | 18.62 MB | ||
| 175 Sequences as arguments and args.en.srt | 6.25 KB | ||
| 175 Sequences as arguments and args.mp4 | 26.26 MB | ||
| 176 How to return many results.en.srt | 3.3 KB | ||
| 176 How to return many results.mp4 | 13.44 MB | ||
| 177 Scope - easily explained.en.srt | 10.05 KB | ||
| 177 Scope - easily explained.mp4 | 35.27 MB | ||
| 178 How to create Nested Functions.en.srt | 6.44 KB | ||
| 178 How to create Nested Functions.mp4 | 30.12 MB | ||
| 179 Putting it all together - Case Study.en.srt | 13.93 KB | ||
| 179 Putting it all together - Case Study.mp4 | 69.22 MB | ||
| 180 Coding Exercise 2.html | 1016 B | ||
| 18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy | |||
| 181 Value-at-Risk.pdf | 251.37 KB | ||
| 181 What is the Value-at-Risk (VaR) (Theory).en.srt | 6.79 KB | ||
| 181 What is the Value-at-Risk (VaR) (Theory).mp4 | 20.39 MB | ||
| 182 Analyzing the Data past Performance.en.srt | 5.74 KB | ||
| 182 Analyzing the Data past Performance.mp4 | 25.46 MB | ||
| 183 How to use the Parametric Method to calculate Value-at-Risk (VaR).en.srt | 5.35 KB | ||
| 183 How to use the Parametric Method to calculate Value-at-Risk (VaR).mp4 | 23.88 MB | ||
| 184 How to use the Historical Method to calculate Value-at-Risk (VaR).en.srt | 3.37 KB | ||
| 184 How to use the Historical Method to calculate Value-at-Risk (VaR).mp4 | 13.6 MB | ||
| 185 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 1).en.srt | 6.04 KB | ||
| 185 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 1).mp4 | 29.44 MB | ||
| 186 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 2).en.srt | 7.51 KB | ||
| 186 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 2).mp4 | 43.53 MB | ||
| 187 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 3).en.srt | 11.46 KB | ||
| 187 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 3).mp4 | 51.01 MB | ||
| 188 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 1).en.srt | 7.75 KB | ||
| 188 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 1).mp4 | 41.98 MB | ||
| 189 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 2).en.srt | 7.9 KB | ||
| 189 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 2).mp4 | 36.11 MB | ||
| 190 CVaR.pdf | 99.11 KB | ||
| 190 Conditional Value-at-Risk (CVaR).en.srt | 5.09 KB | ||
| 190 Conditional Value-at-Risk (CVaR).mp4 | 19.47 MB | ||
| 191 Dynamic path-dependent Simulations (Part 1).en.srt | 9.29 KB | ||
| 191 Dynamic path-dependent Simulations (Part 1).mp4 | 41.54 MB | ||
| 192 Dynamic path-dependent Simulations (Part 2).en.srt | 12.85 KB | ||
| 192 Dynamic path-dependent Simulations (Part 2).mp4 | 67.44 MB | ||
| 193 Dynamic path-dependent Simulations (Part 3).en.srt | 3.07 KB | ||
| 193 Dynamic path-dependent Simulations (Part 3).mp4 | 17.74 MB | ||
| 194 Dynamic path-dependent Simulations (Part 4).en.srt | 11.59 KB | ||
| 194 Dynamic path-dependent Simulations (Part 4).mp4 | 65.49 MB | ||
| 195 Coding Exercise 3.html | 1016 B | ||
| 19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL --- | |||
| 196 Introduction.en.srt | 2.09 KB | ||
| 196 Introduction.mp4 | 7.12 MB | ||
| 197 Course-Materials-Part4.zip | 5.22 MB | ||
| 197 Download of Part 4 Course Materials.en.srt | 12.48 KB | ||
| 197 Download of Part 4 Course Materials.mp4 | 68.4 MB | ||
| 198 Tabular Data and Pandas DataFrames.en.srt | 6.33 KB | ||
| 198 Tabular Data and Pandas DataFrames.mp4 | 23.02 MB | ||
| 20 Pandas Basics - Starting from Zero | |||
| 199 First Steps (Inspection of Data Part 1).en.srt | 11.92 KB | ||
| 199 First Steps (Inspection of Data Part 1).mp4 | 53.76 MB | ||
| 200 First Steps (Inspection of Data Part 2).en.srt | 10.66 KB | ||
| 200 First Steps (Inspection of Data Part 2).mp4 | 42.83 MB | ||
| 201 Built-in Functions Attributes and Methods.en.srt | 9.89 KB | ||
| 201 Built-in Functions Attributes and Methods.mp4 | 43.9 MB | ||
| 202 Explore your own Dataset Coding Exercise 1 (Intro).html | 1.02 KB | ||
| 203 Explore your own Dataset Coding Exercise 1 (Solution).en.srt | 5.73 KB | ||
| 203 Explore your own Dataset Coding Exercise 1 (Solution).mp4 | 34.75 MB | ||
| 204 Selecting Columns.en.srt | 8.87 KB | ||
| 204 Selecting Columns.mp4 | 33.01 MB | ||
| 205 Selecting Rows with Square Brackets (not advisable).en.srt | 4.51 KB | ||
| 205 Selecting Rows with Square Brackets (not advisable).mp4 | 18.75 MB | ||
| 206 Selecting Rows with iloc (position-based indexing).en.srt | 8.48 KB | ||
| 206 Selecting Rows with iloc (position-based indexing).mp4 | 45.9 MB | ||
| 207 Slicing Rows and Columns with iloc (position-based indexing).en.srt | 6.18 KB | ||
| 207 Slicing Rows and Columns with iloc (position-based indexing).mp4 | 20.57 MB | ||
| 208 Position-based Indexing Cheat Sheets.html | 1001 B | ||
| 208 pandas-iloc.pdf | 72 KB | ||
| 209 Selecting Rows with loc (label-based indexing).en.srt | 6.52 KB | ||
| 209 Selecting Rows with loc (label-based indexing).mp4 | 25.26 MB | ||
| 210 Slicing Rows and Columns with loc (label-based indexing).en.srt | 12.43 KB | ||
| 210 Slicing Rows and Columns with loc (label-based indexing).mp4 | 80.34 MB | ||
| 211 Label-based Indexing Cheat Sheets.html | 995 B | ||
| 211 Pandas-loc.pdf | 67.8 KB | ||
| 212 Summary and Outlook.en.srt | 11.5 KB | ||
| 212 Summary and Outlook.mp4 | 54.3 MB | ||
| 213 Coding Exercise 2 (Intro).html | 1 KB | ||
| 214 Coding Exercise 2 (Solution).en.srt | 7.88 KB | ||
| 214 Coding Exercise 2 (Solution).mp4 | 43.05 MB | ||
| GetFreeCourses.Co.url | 116 B | ||
| 21 Pandas Intermediate | |||
| 215 Intro.html | 1.51 KB | ||
| 216 First Steps with Pandas Series.en.srt | 8.02 KB | ||
| 216 First Steps with Pandas Series.mp4 | 30.45 MB | ||
| 217 Analyzing Numerical Series with unique() nunique() and value_counts().en.srt | 14.78 KB | ||
| 217 Analyzing Numerical Series with unique() nunique() and value_counts().mp4 | 60.66 MB | ||
| 218 UPDATE Pandas Version 0.24.0 (Jan E9).html | 1.22 KB | ||
| 219 EXCURSUS Updating Pandas Anaconda.en.srt | 7.09 KB | ||
| 219 EXCURSUS Updating Pandas Anaconda.mp4 | 58.41 MB | ||
| 220 Analyzing non-numerical Series with unique() nunique() value_counts().en.srt | 8.56 KB | ||
| 220 Analyzing non-numerical Series with unique() nunique() value_counts().mp4 | 36.16 MB | ||
| 221 The copy() method.en.srt | 5.28 KB | ||
| 221 The copy() method.mp4 | 20.75 MB | ||
| 222 Sorting of Series and Introduction to the inplace - parameter.en.srt | 10.56 KB | ||
| 222 Sorting of Series and Introduction to the inplace - parameter.mp4 | 33.42 MB | ||
| 223 Coding Exercise 3 (Intro).html | 1 KB | ||
| 224 Coding Exercise 3 (Solution).en.srt | 5.85 KB | ||
| 224 Coding Exercise 3 (Solution).mp4 | 31.06 MB | ||
| 225 First Steps with Pandas Index Objects.en.srt | 6.56 KB | ||
| 225 First Steps with Pandas Index Objects.mp4 | 37.15 MB | ||
| 226 Changing Row Index with set_index() and reset_index().en.srt | 11.83 KB | ||
| 226 Changing Row Index with set_index() and reset_index().mp4 | 63.04 MB | ||
| 227 Changing Column Labels.en.srt | 3.98 KB | ||
| 227 Changing Column Labels.mp4 | 17.95 MB | ||
| 228 Renaming Index Column Labels with rename().en.srt | 4.79 KB | ||
| 228 Renaming Index Column Labels with rename().mp4 | 27.99 MB | ||
| 229 Coding Exercise 4 (Intro).html | 1 KB | ||
| 230 Coding Exercise 4 (Solution).en.srt | 4.36 KB | ||
| 230 Coding Exercise 4 (Solution).mp4 | 23.47 MB | ||
| 231 Sorting DataFrames with sort_index() and sort_values().en.srt | 10.71 KB | ||
| 231 Sorting DataFrames with sort_index() and sort_values().mp4 | 44.25 MB | ||
| 232 nunique() and nlargest() nsmallest() with DataFrames.en.srt | 6.3 KB | ||
| 232 nunique() and nlargest() nsmallest() with DataFrames.mp4 | 26.7 MB | ||
| 233 Filtering DataFrames (one Condition).en.srt | 12.54 KB | ||
| 233 Filtering DataFrames (one Condition).mp4 | 44.83 MB | ||
| 234 Filtering DataFrames by many Conditions (AND).en.srt | 5.14 KB | ||
| 234 Filtering DataFrames by many Conditions (AND).mp4 | 21.24 MB | ||
| 235 Filtering DataFrames by many Conditions (OR).en.srt | 5.83 KB | ||
| 235 Filtering DataFrames by many Conditions (OR).mp4 | 25.81 MB | ||
| 236 Advanced Filtering with between() isin() and ~.en.srt | 8.96 KB | ||
| 236 Advanced Filtering with between() isin() and ~.mp4 | 54.42 MB | ||
| 237 any() and all().en.srt | 4.64 KB | ||
| 237 any() and all().mp4 | 14.26 MB | ||
| 238 Coding Exercise 5 (Intro).html | 1 KB | ||
| 239 Coding Exercise 5 (Solution).en.srt | 9.56 KB | ||
| 239 Coding Exercise 5 (Solution).mp4 | 62.92 MB | ||
| 240 Intro to NA Values missing Values.en.srt | 10.66 KB | ||
| 240 Intro to NA Values missing Values.mp4 | 38.18 MB | ||
| 241 Handling NA Values missing Values.en.srt | 13.04 KB | ||
| 241 Handling NA Values missing Values.mp4 | 56.25 MB | ||
| 242 Exporting DataFrames to csv.en.srt | 2.77 KB | ||
| 242 Exporting DataFrames to csv.mp4 | 10.58 MB | ||
| 243 Summary Statistics and Accumulations.en.srt | 11.72 KB | ||
| 243 Summary Statistics and Accumulations.mp4 | 46.94 MB | ||
| 244 The agg() method.en.srt | 4.15 KB | ||
| 244 The agg() method.mp4 | 18.85 MB | ||
| 245 Coding Exercise 6 (Intro).html | 1 KB | ||
| 246 Coding Exercise 6 (Solution).en.srt | 12.4 KB | ||
| 246 Coding Exercise 6 (Solution).mp4 | 72.82 MB | ||
| 22 Data Visualization with Pandas Matplotlib and Seaborn | |||
| 247 Intro.html | 2.11 KB | ||
| 248 Visualization with Matplotlib (Intro).en.srt | 10.86 KB | ||
| 248 Visualization with Matplotlib (Intro).mp4 | 59.11 MB | ||
| 249 Customization of Plots.en.srt | 13.86 KB | ||
| 249 Customization of Plots.mp4 | 84.13 MB | ||
| 250 Histogramms (Part 1).en.srt | 5.29 KB | ||
| 250 Histogramms (Part 1).mp4 | 20.48 MB | ||
| 251 Histogramms (Part 2).en.srt | 7.99 KB | ||
| 251 Histogramms (Part 2).mp4 | 28.86 MB | ||
| 252 Scatterplots.en.srt | 8.12 KB | ||
| 252 Scatterplots.mp4 | 29.45 MB | ||
| 253 First Steps with Seaborn.en.srt | 7.01 KB | ||
| 253 First Steps with Seaborn.mp4 | 18.24 MB | ||
| 254 Categorical Seaborn Plots.en.srt | 17.06 KB | ||
| 254 Categorical Seaborn Plots.mp4 | 70.73 MB | ||
| 255 Seaborn Regression Plots.en.srt | 13.87 KB | ||
| 255 Seaborn Regression Plots.mp4 | 66.51 MB | ||
| 256 Seaborn Heatmaps.en.srt | 10.29 KB | ||
| 256 Seaborn Heatmaps.mp4 | 35.71 MB | ||
| 257 Coding Exercise 7 (Intro).html | 1 KB | ||
| 258 Coding Exercise 7 (Solution).en.srt | 8.34 KB | ||
| 258 Coding Exercise 7 (Solution).mp4 | 54.06 MB | ||
| 23 Pandas Advanced | |||
| 259 Intro.html | 1.19 KB | ||
| 260 Removing Columns.en.srt | 6.01 KB | ||
| 260 Removing Columns.mp4 | 29.61 MB | ||
| 261 Removing Rows.en.srt | 8.11 KB | ||
| 261 Removing Rows.mp4 | 41.36 MB | ||
| 262 Adding new Columns to a DataFrame.en.srt | 3.85 KB | ||
| 262 Adding new Columns to a DataFrame.mp4 | 15.05 MB | ||
| 263 Arithmetic Operations (Part 1).en.srt | 14.74 KB | ||
| 263 Arithmetic Operations (Part 1).mp4 | 52.78 MB | ||
| 264 Arithmetic Operations (Part 2).en.srt | 14.46 KB | ||
| 264 Arithmetic Operations (Part 2).mp4 | 48.71 MB | ||
| 265 Creating DataFrames from Scratch with pd.DataFrame().en.srt | 9.75 KB | ||
| 265 Creating DataFrames from Scratch with pd.DataFrame().mp4 | 43.39 MB | ||
| 266 Adding new Rows (Hands-on).en.srt | 3.76 KB | ||
| 266 Adding new Rows (Hands-on).mp4 | 16.99 MB | ||
| 267 Adding new Rows to a DataFrame.en.srt | 15.65 KB | ||
| 267 Adding new Rows to a DataFrame.mp4 | 76.19 MB | ||
| 268 Manipulating Elements in a DataFrame.en.srt | 5.67 KB | ||
| 268 Manipulating Elements in a DataFrame.mp4 | 25.93 MB | ||
| 269 Coding Exercise 8 (Intro).html | 1 KB | ||
| 270 Coding Exercise 8 (Solution).en.srt | 7.37 KB | ||
| 270 Coding Exercise 8 (Solution).mp4 | 47.87 MB | ||
| 271 Introduction to GroupBy Operations.en.srt | 2.62 KB | ||
| 271 Introduction to GroupBy Operations.mp4 | 8.09 MB | ||
| 272 Understanding the GroupBy Object.en.srt | 9.77 KB | ||
| 272 Understanding the GroupBy Object.mp4 | 39.41 MB | ||
| 273 Splitting with many Keys.en.srt | 8.15 KB | ||
| 273 Splitting with many Keys.mp4 | 42.23 MB | ||
| 274 split-apply-combine.en.srt | 11.68 KB | ||
| 274 split-apply-combine.mp4 | 40.1 MB | ||
| 275 split-apply-combine applied.en.srt | 14.21 KB | ||
| 275 split-apply-combine applied.mp4 | 59.11 MB | ||
| 276 Hierarchical Indexing with Groupby.en.srt | 7.52 KB | ||
| 276 Hierarchical Indexing with Groupby.mp4 | 27 MB | ||
| 277 stack() and unstack().en.srt | 16.63 KB | ||
| 277 stack() and unstack().mp4 | 66.07 MB | ||
| 278 Coding Exercise 9 (Intro).html | 1 KB | ||
| 279 Coding Exercise 9 (Solution).en.srt | 7.43 KB | ||
| 279 Coding Exercise 9 (Solution).mp4 | 37.74 MB | ||
| 24 Managing Time Series and Financial Data with Pandas | |||
| 280 Importing Time Series Data from csv-files.en.srt | 9.58 KB | ||
| 280 Importing Time Series Data from csv-files.mp4 | 34.41 MB | ||
| 281 Converting strings to datetime objects with pd.to_datetime().en.srt | 11.12 KB | ||
| 281 Converting strings to datetime objects with pd.to_datetime().mp4 | 48.85 MB | ||
| 282 Initial Analysis Visualization of Time Series.en.srt | 6.8 KB | ||
| 282 Initial Analysis Visualization of Time Series.mp4 | 28.93 MB | ||
| 283 Indexing and Slicing Time Series.en.srt | 8.53 KB | ||
| 283 Indexing and Slicing Time Series.mp4 | 40.63 MB | ||
| 284 Creating a customized DatetimeIndex with pd.date_range().en.srt | 18.05 KB | ||
| 284 Creating a customized DatetimeIndex with pd.date_range().mp4 | 93.69 MB | ||
| 285 More on pd.date_range().en.srt | 3.54 KB | ||
| 285 More on pd.date_range().mp4 | 9.77 MB | ||
| 286 Coding Exercise 10 (intro).html | 1 KB | ||
| 287 Coding Exercise 10 (Solution).en.srt | 6.22 KB | ||
| 287 Coding Exercise 10 (Solution).mp4 | 38.42 MB | ||
| 288 Downsampling Time Series with resample() (Part 1).en.srt | 16.35 KB | ||
| 288 Downsampling Time Series with resample() (Part 1).mp4 | 72.16 MB | ||
| 289 Downsampling Time Series with resample (Part 2).en.srt | 9.96 KB | ||
| 289 Downsampling Time Series with resample (Part 2).mp4 | 41.45 MB | ||
| 290 The PeriodIndex object.en.srt | 7.1 KB | ||
| 290 The PeriodIndex object.mp4 | 33.44 MB | ||
| 291 Advanced Indexing with reindex().en.srt | 10.17 KB | ||
| 291 Advanced Indexing with reindex().mp4 | 42.2 MB | ||
| 292 Coding Exercise 11 (intro).html | 1 KB | ||
| 293 Coding Exercise 11 (Solution).en.srt | 6.08 KB | ||
| 293 Coding Exercise 11 (Solution).mp4 | 38.21 MB | ||
| 294 Getting Ready (Installing required library).en.srt | 2.71 KB | ||
| 294 Getting Ready (Installing required library).mp4 | 15.32 MB | ||
| 295 Importing Stock Price Data from Yahoo Finance (it still works).en.srt | 9.96 KB | ||
| 295 Importing Stock Price Data from Yahoo Finance (it still works).mp4 | 58.48 MB | ||
| 296 Initial Inspection and Visualization.en.srt | 6.03 KB | ||
| 296 Initial Inspection and Visualization.mp4 | 36.35 MB | ||
| 297 Normalizing Time Series to a Base Value (100).en.srt | 7.71 KB | ||
| 297 Normalizing Time Series to a Base Value (100).mp4 | 37.35 MB | ||
| 298 The shift() method.en.srt | 8.51 KB | ||
| 298 The shift() method.mp4 | 29.49 MB | ||
| 299 The methods diff() and pct_change().en.srt | 8.38 KB | ||
| 299 The methods diff() and pct_change().mp4 | 32.72 MB | ||
| 300 Measuring Stock Performance with MEAN Returns and STD of Returns.en.srt | 10.55 KB | ||
| 300 Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 | 34.87 MB | ||
| 301 Financial Time Series - Return and Risk.en.srt | 9.9 KB | ||
| 301 Financial Time Series - Return and Risk.mp4 | 44.9 MB | ||
| 302 Financial Time Series - Covariance and Correlation.en.srt | 5.55 KB | ||
| 302 Financial Time Series - Covariance and Correlation.mp4 | 21.04 MB | ||
| 303 Importing Financial Data from Excel.en.srt | 12.73 KB | ||
| 303 Importing Financial Data from Excel.mp4 | 77.87 MB | ||
| 304 Merging Aligning Financial Time Series (hands-on).en.srt | 5.82 KB | ||
| 304 Merging Aligning Financial Time Series (hands-on).mp4 | 25.9 MB | ||
| 305 Coding Exercise 12 (intro).html | 1 KB | ||
| 306 Coding Exercise 12 (Solution).en.srt | 8.94 KB | ||
| 306 Coding Exercise 12 (Solution).mp4 | 47.76 MB | ||
| 25 Creating analyzing and optimizing Financial Portfolios with Python | |||
| 307 Intro.en.srt | 4.77 KB | ||
| 307 Intro.mp4 | 17.24 MB | ||
| 308 Getting the Data.en.srt | 2.58 KB | ||
| 308 Getting the Data.mp4 | 12.24 MB | ||
| 309 Creating the equally-weighted Portfolio.en.srt | 9.87 KB | ||
| 309 Creating the equally-weighted Portfolio.mp4 | 45.78 MB | ||
| 310 Creating many random Portfolios with Python.en.srt | 13.51 KB | ||
| 310 Creating many random Portfolios with Python.mp4 | 72.48 MB | ||
| 311 What is the Sharpe Ratio and a Risk Free Asset.en.srt | 5.43 KB | ||
| 311 What is the Sharpe Ratio and a Risk Free Asset.mp4 | 16.87 MB | ||
| 312 Portfolio Analysis and the Sharpe Ratio with Python.en.srt | 8.25 KB | ||
| 312 Portfolio Analysis and the Sharpe Ratio with Python.mp4 | 44.86 MB | ||
| 313 Finding the Optimal Portfolio.en.srt | 8.37 KB | ||
| 313 Finding the Optimal Portfolio.mp4 | 39.05 MB | ||
| 314 Sharpe Ratio - visualized and explained.en.srt | 6 KB | ||
| 314 Sharpe Ratio - visualized and explained.mp4 | 23.23 MB | ||
| 315 Coding Exercise 13 (Intro).html | 1 KB | ||
| 316 Coding Exercise 13 (Solution).en.srt | 11.96 KB | ||
| 316 Coding Exercise 13 (Solution).mp4 | 77.7 MB | ||
| 317 Intro CAPM.en.srt | 2.28 KB | ||
| 317 Intro CAPM.mp4 | 7.99 MB | ||
| 318 Capital Market Line (CML) Two-Fund-Theorem.en.srt | 3.95 KB | ||
| 318 Capital Market Line (CML) Two-Fund-Theorem.mp4 | 15.81 MB | ||
| 319 The Portfolio Diversification Effect.en.srt | 15.09 KB | ||
| 319 The Portfolio Diversification Effect.mp4 | 70.99 MB | ||
| 320 Systematic vs. unsystematic Risk.en.srt | 14.18 KB | ||
| 320 Systematic vs. unsystematic Risk.mp4 | 59.51 MB | ||
| 321 Capital Asset Pricing Model (CAPM) Security Market Line (SLM).en.srt | 8.68 KB | ||
| 321 Capital Asset Pricing Model (CAPM) Security Market Line (SLM).mp4 | 39.19 MB | ||
| 322 Beta and Alpha.en.srt | 8.75 KB | ||
| 322 Beta and Alpha.mp4 | 33.6 MB | ||
| 323 Redefining the Market Portfolio.en.srt | 8.59 KB | ||
| 323 Redefining the Market Portfolio.mp4 | 36.67 MB | ||
| 324 Cyclical vs. non-cyclical Stocks - another Intuition on Beta.en.srt | 7.47 KB | ||
| 324 Cyclical vs. non-cyclical Stocks - another Intuition on Beta.mp4 | 32.71 MB | ||
| 325 Coding Exercise 14 (Intro).html | 1 KB | ||
| 326 Coding Exercise 14 (Solution).en.srt | 10.26 KB | ||
| 326 Coding Exercise 14 (Solution).mp4 | 59.21 MB | ||
| 26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) --- | |||
| 327 Introduction to Regression Analysis.en.srt | 6.06 KB | ||
| 327 Introduction to Regression Analysis.mp4 | 50.63 MB | ||
| 328 Coding Projects Part 5 - Overview.en.srt | 2.79 KB | ||
| 328 Coding Projects Part 5 - Overview.mp4 | 16.49 MB | ||
| 328 Coding-Projects-Part5.pdf | 636.64 KB | ||
| 329 Course-Materials-Part5.zip | 25.69 MB | ||
| 329 Download of Part 5 Course Materials.html | 995 B | ||
| 27 Correlation and Regression | |||
| 330 Cleaning and preparing the Data - Movies Database (Part 1).en.srt | 7.59 KB | ||
| 330 Cleaning and preparing the Data - Movies Database (Part 1).mp4 | 47.03 MB | ||
| 331 Cleaning and preparing the Data - Movies Database (Part 2).en.srt | 7.07 KB | ||
| 331 Cleaning and preparing the Data - Movies Database (Part 2).mp4 | 31.12 MB | ||
| 332 Cov-Corr.pdf | 228.13 KB | ||
| 332 Covariance and Correlation Coefficient (Theory).en.srt | 8.79 KB | ||
| 332 Covariance and Correlation Coefficient (Theory).mp4 | 27.58 MB | ||
| 333 How to calculate Covariance and Correlation in Python.en.srt | 6.28 KB | ||
| 333 How to calculate Covariance and Correlation in Python.mp4 | 23.98 MB | ||
| 334 Correlation and Scatterplots visual Interpretation.en.srt | 6.15 KB | ||
| 334 Correlation and Scatterplots visual Interpretation.mp4 | 20 MB | ||
| 334 Visual.pdf | 118.59 KB | ||
| 335 Creating a Confidence Interval for the Correlation Coefficient (Bootstrapping).en.srt | 9.05 KB | ||
| 335 Creating a Confidence Interval for the Correlation Coefficient (Bootstrapping).mp4 | 38.94 MB | ||
| 336 Testing for Correlation (t-Test).en.srt | 4.17 KB | ||
| 336 Testing for Correlation (t-Test).mp4 | 16.57 MB | ||
| 337 Regression.pdf | 150.15 KB | ||
| 337 What is Linear Regression (Theory).en.srt | 3.25 KB | ||
| 337 What is Linear Regression (Theory).mp4 | 11.64 MB | ||
| 338 A simple Linear Regression Model with numpy Scipy.en.srt | 7.9 KB | ||
| 338 A simple Linear Regression Model with numpy Scipy.mp4 | 39.72 MB | ||
| 339 Coeff.pdf | 177.7 KB | ||
| 339 How to interpret Intercept and Slope Coefficient.en.srt | 3.29 KB | ||
| 339 How to interpret Intercept and Slope Coefficient.mp4 | 12.33 MB | ||
| 340 Case Study (Part 1) The Market Model (Single Factor Model).en.srt | 5.77 KB | ||
| 340 Case Study (Part 1) The Market Model (Single Factor Model).mp4 | 26.32 MB | ||
| 341 Case Study (Part 2) The Market Model (Single Factor Model).en.srt | 2.87 KB | ||
| 341 Case Study (Part 2) The Market Model (Single Factor Model).mp4 | 10.31 MB | ||
| 342 Coding Exercise 1.html | 1016 B | ||
| 28 OLS Regression ANOVA and Hypothesis Testing | |||
| 343 OLS (Ordinary Least Squares) Regression (Theory).en.srt | 2.85 KB | ||
| 343 OLS (Ordinary Least Squares) Regression (Theory).mp4 | 7.26 MB | ||
| 343 OLS.pdf | 147.82 KB | ||
| 344 OLS Regression with statsmodels - Intro.en.srt | 11.45 KB | ||
| 344 OLS Regression with statsmodels - Intro.mp4 | 48.78 MB | ||
| 345 ANOVA.pdf | 267.08 KB | ||
| 345 OLS Regression - ANOVA (Theory).en.srt | 10.71 KB | ||
| 345 OLS Regression - ANOVA (Theory).mp4 | 36.35 MB | ||
| 346 OLS Regression with Statsmodels - ANOVA.en.srt | 3.87 KB | ||
| 346 OLS Regression with Statsmodels - ANOVA.mp4 | 17.82 MB | ||
| 347 Coefficient of Determination (R squared).en.srt | 2.28 KB | ||
| 347 Coefficient of Determination (R squared).mp4 | 6.88 MB | ||
| 348 OLS Regression with statsmodels and DataFrames.en.srt | 5.06 KB | ||
| 348 OLS Regression with statsmodels and DataFrames.mp4 | 22.04 MB | ||
| 349 Confidence Intervals for Regression Coefficients - Bootstrapping.en.srt | 12.2 KB | ||
| 349 Confidence Intervals for Regression Coefficients - Bootstrapping.mp4 | 53.48 MB | ||
| 350 Hypothesis Testing of Regression Coefficients (Theory).en.srt | 4.58 KB | ||
| 350 Hypothesis Testing of Regression Coefficients (Theory).mp4 | 15.51 MB | ||
| 350 Testing.pdf | 222.57 KB | ||
| 351 Hypothesis Testing of Regression Coefficients with statsmodels.en.srt | 4.56 KB | ||
| 351 Hypothesis Testing of Regression Coefficients with statsmodels.mp4 | 17.77 MB | ||
| 352 Regression Analysis with statsmodels - the Summary Table.en.srt | 4.69 KB | ||
| 352 Regression Analysis with statsmodels - the Summary Table.mp4 | 20.94 MB | ||
| 353 Case Study (Part 3) The Market Model (Single Factor Model).en.srt | 5.89 KB | ||
| 353 Case Study (Part 3) The Market Model (Single Factor Model).mp4 | 28.93 MB | ||
| 354 Coding Exercise 2.html | 1016 B | ||
| 29 Multiple Regression Models | |||
| 355 Multiple Regression (Theory).en.srt | 7.62 KB | ||
| 355 Multiple Regression (Theory).mp4 | 25.94 MB | ||
| 355 Multiple-Reg.pdf | 163.99 KB | ||
| 356 Movies Dataset - Preparing the Data.en.srt | 8.77 KB | ||
| 356 Movies Dataset - Preparing the Data.mp4 | 49.6 MB | ||
| 357 Multiple Regression Analysis with statsmodels.en.srt | 6.11 KB | ||
| 357 Multiple Regression Analysis with statsmodels.mp4 | 31.27 MB | ||
| 358 Coefficient of Determination (Adjusted R squared).en.srt | 3.46 KB | ||
| 358 Coefficient of Determination (Adjusted R squared).mp4 | 15.02 MB | ||
| 358 Rsquared-adjusted.pdf | 132.04 KB | ||
| 359 Regression Coefficients Hypothesis Testing Model Specification.en.srt | 10.13 KB | ||
| 359 Regression Coefficients Hypothesis Testing Model Specification.mp4 | 53.61 MB | ||
| 360 F-Test.pdf | 155.68 KB | ||
| 360 How to test the Significance of the Model as a whole (F-Test).en.srt | 5.96 KB | ||
| 360 How to test the Significance of the Model as a whole (F-Test).mp4 | 20.33 MB | ||
| 361 Creating and working with Dummy Variables (Part 1).en.srt | 9.93 KB | ||
| 361 Creating and working with Dummy Variables (Part 1).mp4 | 54.41 MB | ||
| 362 Creating and working with Dummy Variables (Part 2).en.srt | 8.38 KB | ||
| 362 Creating and working with Dummy Variables (Part 2).mp4 | 43.97 MB | ||
| 363 Coding Exercise 3.html | 1016 B | ||
| 30 Case Study Multi-Factor Models (Fama-French) | |||
| 364 Fama-French An Introduction.en.srt | 16.11 KB | ||
| 364 Fama-French An Introduction.mp4 | 52.56 MB | ||
| 364 Fama-French.pdf | 322.15 KB | ||
| 365 Single-Factor Models with the Fama-French Market Portfolio (Part 1).en.srt | 9.57 KB | ||
| 365 Single-Factor Models with the Fama-French Market Portfolio (Part 1).mp4 | 63.57 MB | ||
| 366 Single-Factor Models with the Fama-French Market Portfolio (Part 2).en.srt | 7.52 KB | ||
| 366 Single-Factor Models with the Fama-French Market Portfolio (Part 2).mp4 | 39.08 MB | ||
| 367 Size-Value.pdf | 188.85 KB | ||
| 367 The Factors Size Value.en.srt | 10.95 KB | ||
| 367 The Factors Size Value.mp4 | 49.08 MB | ||
| 368 How to create a Fama-French Three-Factor Model.en.srt | 8.83 KB | ||
| 368 How to create a Fama-French Three-Factor Model.mp4 | 55.42 MB | ||
| 369 Profitability-Investment.pdf | 190.15 KB | ||
| 369 The Factors Profitability and Investment.en.srt | 5.91 KB | ||
| 369 The Factors Profitability and Investment.mp4 | 21.81 MB | ||
| 370 How to create a Fama-French Five-Factor Model.en.srt | 6.52 KB | ||
| 370 How to create a Fama-French Five-Factor Model.mp4 | 46.58 MB | ||
| 371 Coding Exercise 4.html | 1016 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| 31 Issues in Linear Regression Analysis and Logistic Regression | |||
| 372 Linear Regression - not that easy.en.srt | 5.79 KB | ||
| 372 Linear Regression - not that easy.mp4 | 24.27 MB | ||
| 373 Detecting and Handling Outliers (Part 1).en.srt | 10.6 KB | ||
| 373 Detecting and Handling Outliers (Part 1).mp4 | 67.97 MB | ||
| 374 Detecting and Handling Outliers (Part 2).en.srt | 3.23 KB | ||
| 374 Detecting and Handling Outliers (Part 2).mp4 | 21.54 MB | ||
| 375 Non-Linear Relationships - Feature Transformation.en.srt | 5.42 KB | ||
| 375 Non-Linear Relationships - Feature Transformation.mp4 | 22.64 MB | ||
| 376 Detecting and Handling Multicollinearity.en.srt | 8.88 KB | ||
| 376 Detecting and Handling Multicollinearity.mp4 | 48.52 MB | ||
| 377 Detecting and Correcting Heteroskedasticity.en.srt | 10.53 KB | ||
| 377 Detecting and Correcting Heteroskedasticity.mp4 | 61.3 MB | ||
| 378 Detecting and Handling Serial Correlation (Autocorrelation).en.srt | 13.79 KB | ||
| 378 Detecting and Handling Serial Correlation (Autocorrelation).mp4 | 79.35 MB | ||
| 379 Logistic Regression (Theory).en.srt | 4.59 KB | ||
| 379 Logistic Regression (Theory).mp4 | 15.05 MB | ||
| 379 Logistic-Regression.pdf | 239.82 KB | ||
| 380 Logistic Regression with statsmodels (Part 1).en.srt | 5.72 KB | ||
| 380 Logistic Regression with statsmodels (Part 1).mp4 | 31.14 MB | ||
| 381 Logistic Regression with statsmodels (Part 2).en.srt | 7.57 KB | ||
| 381 Logistic Regression with statsmodels (Part 2).mp4 | 40.77 MB | ||
| 32 What s next | |||
| 382 Get your special BONUS here.html | 3.23 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| ▲ 791 total files | |||
Complete 2-in-1 Python for Business and Finance Bootcamp
Data Science, Statistics, Hypothesis Tests, Regression, Simulations for Business & Finance: Python Coding AND Theory A-Z
Udemy - https://www.udemy.com/course/complete-python-for-business-and-finance-bootcamp/
Please seed as much as you can!
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 612.9 MB | freecoursewb | 6 months | 25 | 3 | |
| 577 MB | freecoursewb | 9 months | 2 | 0 | |
| 917 MB | freecoursewb | 1 year | 0 | 1 | |
| 22.21 GB | Prom3th3uS | 2 years | 0 | 2 | |
| 2.7 GB | fcs0310 | 2 years | 3 | 1 |
All Comments