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TORRENT DETAILS
Python For Finance Financial Analysis For Investing
TORRENT SUMMARY
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Did you know that the No.1 killer of investment return is emotion?
Investors should not let fear or greed control their decisions.
How do you get your emotions out of your investment decisions?
A simple way is to perform objective financial analysis and automate it with Python!
Why?
Performing financial analysis makes your decisions objective – you are not buying companies that your analysis did not recommend.
Automating them with Python ensures that you do not compromise because you get tired of analyzing.
Finally, it ensures that you get all the calculation done correctly in the same way.
Does this sound interesting?
Do you want to learn how to use Python for financial analysis?
Find stocks to invest in and evaluate whether they are underpriced or overvalued?
Buy and sell at the right time?
This course will teach you how to use Python to automate the process of financial analysis on multiple companies simultaneously and evaluate how much they are worth (the intrinsic value).
You will get started in the financial investment world and use data science on financial data.
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Why should you enroll in this course?
Over 3,000 students have signed up within the first week of the course going live!
Making investment decisions is like playing poker without looking at your cards if you don’t know what you are doing.
You don’t want to buy stocks in a company you did not analyze first.
This is the only course that takes you through the full process from finding attractive investments and how to time your first buy.
Similarly, you do not buy a house without looking at the condition report.
How to see if a company will grow in value, to avoid falling stock prices the day after you buy it.
This course does not assume you have a portfolio and want to optimize it – it will help you find the stocks to invest in first.
It gives you a solid foundation to invest with confidence and stop gambling.
Learn that making financial analysis on companies is not that difficult and can be automated with Python.
The market crashed in 2020 without any warning – some companies came in quickly, others did not.
Be sure to invest in companies with a solid economy and a growth market.
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Early reviews
“Excellent course, everything is brilliantly explained, step by step with exercices, practical example and it seems that further on the course it will be real world example. I’m about 25% in the course, it was so exciting that I encouraged one of my friend to signup in the course. I already followed all other Rune’s great courses, and this one, for me is the best among them. Also, in every Rune’s course, he answer quickly for all single question with detail, this one followed the rules. For me it’s one of the best instructors here on Udemy, I have enrolled in many other best instructors course here, and Rune is definitely one of them.” – Adel
“Accurate and very detailed” – Moshe
“good course!” – Richard
“Starting good… can’t wait for more.” – Swietopelk
“Really engaging instructor.” – Edwin
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How is this course structured?
This course will guide you through how to install the necessary software (Anaconda) – it’s all free.
It will cover how to use Jupyter Notebook (from Anaconda package) if you are not completely familiar with it.
A crash course in Python if you need an update or come from a different programming background.
Then it starts by introducing financial concepts along with Python programming to fully understand them.
This includes understanding of stocks, volume, dividends, returns, market price, price to earnings (EPS), price to earnings (PE ratio), book value and more.
A deep introduction to Pandas, the most important library used for financial analysis with Python.
It will cover DataFrames, Series, read and write data, export to Excel, merge, join and link data and much more.
The concept of intrinsic value (a fair stock price to pay) – this is the most important concept to understand when investing.
How the risk of investment is understood and how to assess it for a company.
This is how the management of a company is assessed in an objective way.
This will include learning about debt-to-equity ratio (DE ratio), current assets, return of investment (ROI), revenue evaluation, earnings per share (EPS) evaluation, book value evaluation, free-cash-flow (FCF) evaluation and more.
This teaches you how to calculate a fair price (intrinsic value) to be paid for a company.
Matplotlib is introduced and how it can be used to visualize data for efficient data interpretation.
We visualize data and export it to color-formatted Excel sheets – all from Python.
You will learn to use free APIs to read up-to-date data on stock quotes and financial statements.
Then we dive deeper and work with historical time series data on stock prices.
This teaches you rate of return, percentage change, and normalization.
How to calculate and use the Compound Annual Growth Rate (CAGR).
There will be a case study on DOW theory.
Next, we will examine and calculate technical indicators such as moving averages (MA), MACD, stochastic oscillator and RSI, and how to use them to buy and sell.
We introduce NumPy to perform further analyzes.
This will help us calculate and understand the volatility of a stock.
Also, correlation between stocks, linear regression, beta, CAPM, and more.
How to work with a full portfolio.
This includes concepts like Sharpe ratio, Monte Carlo Simulation, Efficient Frontier and more.
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This course has
21 hours of video in 180+ lectures.
Exercises are prepared in Jupyter Notebooks.
Links to useful resources along the way.
Explains all concepts in an easy way with real examples.
Udemy has a refund guarantee with a 30 day money back guarantee that ensures if you are not satisfied, you will get your money back. Also, feel free to contact me directly if you have any questions.
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About the instructor
Rune is a Ph.D. in computer science with a background in Python programming. He has taken an MBA from Henley Business School in the UK to study business administration and economics. Rune has been teaching programming and computer science since college. He has other best-selling courses at Udemy.
Who this course is for:
Someone that wants to learn about financial analysis with Python
Anyone that wants to start data science on financial data
Programmers that want to learn about finance and investing
Requirements
Some knowledge of programming is recommended
All software and data used in course is free
Ability to install Anaconda (guide in course)
Last Updated 2/2021
VISITOR COMMENTS (0 )
FILE LIST
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/10. Data Sources/11. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/10. Data Sources/7. Jupyter Notebook Yahoo! Finance - Financial Statements.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/10. Data Sources/9. Jupyter Notebook Web Scraping.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/11. Time Series Data/3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/11. Time Series Data/5. Jupyter Notebook CAGR.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/11. Time Series Data/6. Jupyter Notebook Multiple Time Frames.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/11. Time Series Data/7. Case Study DOW Theory.mp4
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/11. Time Series Data/7. Case Study DOW Theory.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/10. Jupyter Notebook Exporting to Excel.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/11. Jupyter Notebook Using our Excel Sheet.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/13. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/2. What is a Technical Indicator and Types of Indicators.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/4. Jupyter Notebook Simple Moving Average (MA).srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/5. Jupyter Notebook Exponential Moving Average (EMA).srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/7. Jupyter Notebook MACD.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/12. Technical Indicators/9. Jupyter Notebook Stochastic Oscillator.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/13. NumPy/2. Jupyter Notebook Introduction to NumPy.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/13. NumPy/3. Jupyter Notebook Index, Slicing, and Views.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/13. NumPy/5. Jupyter Notebook Vectorization with NumPy.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/13. NumPy/7. Jupyter Notebook Dot product and Transpose.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/14. Correlation and Linear Regression/10. Jupyter Notebook Beta Calculations.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/14. Correlation and Linear Regression/12. Jupyter Notebook CAPM Calculations.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/14. Correlation and Linear Regression/14. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/14. Correlation and Linear Regression/6. Jupyter Notebook Correlation Calculations.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/14. Correlation and Linear Regression/8. Jupyter Notebook Linear Regression.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/15. Working with Portfolios and Monte Carlo Simulations/11. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/15. Working with Portfolios and Monte Carlo Simulations/3. Jupyter Notebook Portfolio.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/15. Working with Portfolios and Monte Carlo Simulations/5. Jupyter Notebook Sharpe Ratio Calculations.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/15. Working with Portfolios and Monte Carlo Simulations/7. Jupyter Notebook Monte Carlo Simulations - Introduction.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/15. Working with Portfolios and Monte Carlo Simulations/8. Jupyter Notebook Portfolios and Monte Carlo Simulations.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/16. Finish Line/2. 3 Books to Read.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/2. Setup/1. Introduction.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/2. Setup/2. Download Anaconda (includes Python and Jupyter notebook).srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/2. Setup/2.1 Download link to Anaconda.html
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/2. Setup/2.2 Installation guides.html
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/3. Jupyter Notebook guide/1. Introduction.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/3. Jupyter Notebook guide/1.1 Jupyter Notebook Cheat Sheet.html
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/3. Jupyter Notebook guide/4. Jupyter Notebook Copy and reorganize code.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/4. Python Crash Course/1. Introduction.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/4. Python Crash Course/12. Lambda functions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/4. Python Crash Course/14. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/4. Python Crash Course/16. What did we learn.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/4. Python Crash Course/2. Variables and types.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/5. Lemonade Stand/1. Introduction.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/5. Lemonade Stand/11. Jupyter Notebook Dividend.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/5. Lemonade Stand/5. Jupyter Notebook The Lemonade Stand.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/5. Lemonade Stand/7. Shares a story - Understand what they really are.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/5. Lemonade Stand/8. Jupyter Notebook Shares.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/1. Introduction.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/10. Read and Write with Pandas - Part II.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/11. Read and Write with Pandas - Part III.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/12. Merge - Join - Concatenate - Part I.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/14. Transpose and clean data.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/16. Useful methods to know.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/19. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/2. Introduction to Pandas - a small demonstration.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/3. Series.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/4. DataFrames - Part I.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/5. DataFrames - Part II.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/6. DataFrames - Part III.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/7. DataFrames - Part IV.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/8. DataFrames - Part V.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/6. Pandas/9. Read and Write with Pandas - Part I.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/11. Jupyter Notebook - Current ratio.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/12. Stable and predictable.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/14. Jupyter Notebook Return of Investment.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/18. Jupyter Notebook Earnings Per Share (EPS).srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/24. Jupyter Notebook Combine All Data.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/25. Calculate a Fair Price (Intrinsic Value).srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/7. Evaluate Leadership.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/7. Intrinsic Value/9. Jupyter Notebook Debt-to-Equity ratio.mp4
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/10. Solutions.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/3. Jupyter Notebook Matplotlib basics.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/4. Jupyter Notebook Work with Axis.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/5.1 Matplotlib Overview.html
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/6. Jupyter Notebook Matplotlib and Pandas.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/7. Jupyter Notebook Pandas and data structures.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/8. Matplotlib/8. Jupyter Notebook Bar plots.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/9. Visualization and Excel Export of Financial Data/2. Matplotlib - Part I.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/9. Visualization and Excel Export of Financial Data/3. Matplotlib - Part II.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/9. Visualization and Excel Export of Financial Data/4. Export to Excel - Part I.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/9. Visualization and Excel Export of Financial Data/5. Export to Excel - Part II.srt
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[TutsNode.com] - Python for Finance Financial Analysis for Investing/9. Visualization and Excel Export of Financial Data/6. Export to Excel - Part III.srt
