The Financial Analysis in Python Certification Video Training Course
The complete solution to prepare for for your exam with The Financial Analysis in Python certification video training course. The The Financial Analysis in Python certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Finance Courses The Financial Analysis in Python exam dumps, study guide & practice test questions and answers.
The Financial Analysis in Python Certification Video Training Course Exam Curriculum
Introduction to programming with Python
Python Variables and Data Types
Basic Python Syntax
Python Operators Continued
Conditional Statements
Python Functions
Python Sequences
Using Iterations in Python
Advanced Python tools
PART II FINANCE: Calculating and Comparing Rates of Return in Python
PART II Finance: Measuring Investment Risk
PART II Finance - Using Regressions for Financial Analysis
PART II Finance - Markowitz Portfolio Optimization
Part II Finance - The Capital Asset Pricing Model
Part II Finance: Multivariate regression analysis
PART II Finance - Monte Carlo simulations as a decision-making tool
Introduction to programming with Python
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05:04
1. Programming Explained in 5 Minutes
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05:11
2. Why Python?
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03:29
3. Why Jupyter?
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04:22
4. Installing Python and Jupyter
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03:15
5. Jupyter's Interface - the Dashboard
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06:15
6. Jupyter's Interface - Prerequisites for Coding
Python Variables and Data Types
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03:41
1. Variables
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03:05
2. Numbers and Boolean Values
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05:43
3. Strings
Basic Python Syntax
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03:23
1. Arithmetic Operators
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01:33
2. The Double Equality Sign
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01:08
3. Reassign Values
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01:25
4. Add Comments
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00:50
5. Line Continuation
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01:18
6. Indexing Elements
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01:45
7. Structure Your Code with Indentation
Python Operators Continued
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02:10
1. Comparison Operators
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05:36
2. Logical and Identity Operators
Conditional Statements
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03:04
1. Introduction to the IF statement
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02:39
2. Add an ELSE statement
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05:33
3. Else if, for Brief - ELIF
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02:13
4. A Note on Boolean values
Python Functions
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02:03
1. Defining a Function in Python
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03:49
2. Creating a Function with a Parameter
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02:35
3. Another Way to Define a Function
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01:49
4. Using a Function in another Function
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01:13
5. Creating Functions Containing a Few Arguments
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03:56
6. Notable Built-in Functions in Python
Python Sequences
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04:02
1. Lists
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03:22
2. Using Methods
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04:31
3. List Slicing
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03:13
4. Tuples
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04:04
5. Dictionaries
Using Iterations in Python
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02:26
1. For Loops
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02:26
2. While Loops and Incrementing
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02:22
3. Create Lists with the range() Function
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03:05
4. Use Conditional Statements and Loops Together
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02:27
5. All In - Conditional Statements, Functions, and Loops
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03:07
6. Iterating over Dictionaries
Advanced Python tools
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05:00
1. Object Oriented Programming
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01:05
2. Modules and Packages
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02:47
3. The Standard Library
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04:10
4. Importing Modules
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04:53
5. Must-have packages for Finance and Data Science
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06:02
6. Working with arrays
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02:52
7. Generating Random Numbers
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03:44
8. Importing and Organizing Data in Python - part I
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07:01
9. Importing and Organizing Data in Python - part II
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04:19
10. Importing and Organizing Data in Python - part III
PART II FINANCE: Calculating and Comparing Rates of Return in Python
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02:19
1. Considering both risk and return
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02:34
2. What are we going to see next
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05:31
3. Calculating a security's rate of return
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05:23
4. Calculating a Security's Rate of Return in Python - Simple Returns - Part I
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03:28
5. Calculating a Security's Rate of Return in Python - Simple Returns - Part II
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03:39
6. Calculating a Security's Return in Python - Logarithmic Returns
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02:39
7. What is a portfolio of securities and how to calculate its rate of return
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08:34
8. Calculating the Rate of Return of a Portfolio of Securities
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03:31
9. Popular stock indices that can help us understand financial markets
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05:03
10. Calculating the Rate of Return of Indices
PART II Finance: Measuring Investment Risk
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06:05
1. How do we measure a security's risk
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05:56
2. Calculating a Security's Risk in Python
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03:28
3. The benefits of portfolio diversification
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03:35
4. Calculating the covariance between securities
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03:59
5. Measuring the correlation between stocks
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05:00
6. Calculating Covariance and Correlation
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03:19
7. Considering the risk of multiple securities in a portfolio
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02:39
8. Calculating Portfolio Risk
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02:58
9. Understanding Systematic vs. Idiosyncratic risk
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04:28
10. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio
PART II Finance - Using Regressions for Financial Analysis
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03:55
1. The fundamentals of simple regression analysis
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06:35
2. Running a Regression in Python
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04:55
3. Are all regressions created equal? Learning how to distinguish good regressions
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06:14
4. Computing Alpha, Beta, and R Squared in Python
PART II Finance - Markowitz Portfolio Optimization
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06:34
1. Markowitz Portfolio Theory - One of the main pillars of modern Finance
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05:35
2. Obtaining the Efficient Frontier in Python - Part I
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05:18
3. Obtaining the Efficient Frontier in Python - Part II
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02:07
4. Obtaining the Efficient Frontier in Python - Part III
Part II Finance - The Capital Asset Pricing Model
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04:45
1. The intuition behind the Capital Asset Pricing Model (CAPM)
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04:14
2. Understanding and calculating a security's Beta
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03:38
3. Calculating the Beta of a Stock
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04:20
4. The CAPM formula
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02:16
5. Calculating the Expected Return of a Stock (CAPM)
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02:21
6. Introducing the Sharpe ratio and the way it can be applied in practice
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01:23
7. Obtaining the Sharpe ratio in Python
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04:13
8. Measuring alpha and verifying how good (or bad) a portfolio manager is doing
Part II Finance: Multivariate regression analysis
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05:42
1. Multivariate regression analysis - a valuable tool for finance practitioners
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06:20
2. Running a multivariate regression in Python
PART II Finance - Monte Carlo simulations as a decision-making tool
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02:32
1. The essence of Monte Carlo simulations
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02:30
2. Monte Carlo applied in a Corporate Finance context
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06:03
3. Monte Carlo: Predicting Gross Profit - Part I
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02:57
4. Monte Carlo: Predicting Gross Profit - Part II
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04:27
5. Forecasting Stock Prices with a Monte Carlo Simulation
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03:39
6. Monte Carlo: Forecasting Stock Prices - Part I
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04:38
7. Monte Carlo: Forecasting Stock Prices - Part II
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04:17
8. Monte Carlo: Forecasting Stock Prices - Part III
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06:32
9. An Introduction to Derivative Contracts
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04:51
10. The Black Scholes Formula for Option Pricing
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06:00
11. Monte Carlo: Black-Scholes-Merton
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06:21
12. Monte Carlo: Euler Discretization - Part I
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02:09
13. Monte Carlo: Euler Discretization - Part II
About The Financial Analysis in Python Certification Video Training Course
The Financial Analysis in Python certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
Do you want to apply Python in the world of finance? Then you have found the right place. The course combines two spheres: financial and computer. It is reflected in the structure and content of the tutorial. It is focused on syntax in Python and basic coding, as well as on investment analysis. You will develop the skills that are highly in demand nowadays. Most of the techniques described are used by professionals in their everyday activities. You will need just a little time to grasp these tools and techniques.
The first half of the course involves:
- Python variables and data types
- Conditional statements
- Python syntax
- Python functions
- Using iterations
- Advanced Python tools
The second half includes:
- Comparing and calculating rates of return in Python
- Investment risk
- How to use regressions for financial analysis
- Markowitz Portfolio Optimization
- CAPM (Capital Asset Pricing Model)
- Multivariate regression analysis
- Monte Carlo simulations
The training is mainly practical. One of the advantages of the video course is that it contains only important information, which you can use in your real experience. The material is explained in a comprehensible way. So, you won’t have any difficulties to understand the information or English language itself.
As financial analysis in Python is perspective, this knowledge will stand you from the crowd. More employers will be interested in hiring the competent person. Thus, with the advanced skills, you obtain the opportunity to be promoted or employed for a new job of your dream.
Don’t doubt! Just take the course and begin your exciting journey!
Prepaway's The Financial Analysis in Python video training course for passing certification exams is the only solution which you need.
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