Financial Data Analysis with Python | 2h Full Course | Part 1/8 | Technical Analysis with DataFrames financial course

by charoenmotorcycles123DG

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A full 2 hour Python course to get you started with Financial Analysis. You will learn how to make automated financial analysis with Python using Pandas DataFrames, Series and more.

In this lesson you will learn how to import financial data from Yahoo! Finance using a CSV file. Further, you will learn how to index into the data in a DataFrame (Pandas data structure). You will get familiar with the main Financial data structure in Python: Pandas DataFrame. It is similar to an Excel sheet in many ways.

T I M E S T A M P S
00:00 Introduction
00:42 Get started with environment and resources
01:25 Get CSV file from Yahoo! Finance.
02:10 Read CSV file into a DataFrame
06:25 Data types of a DataFrame
07:25 Index of a DataFrame
07:50 Get Data as Index of a DataFrame
09:02 Parse Dates in a DataFrame
09:35 Access rows based on Dates in a DataFrame
10:55 Access a Date range of rows in a DataFrame
12:26 Indexing into a DataFrame with an integer (iloc)

D E S C R I P T I O N
▸ Complete 2 hour course on Financial Data Analysis with Python
▸ You will learn to use Python and Pandas to do Technical Analysis on Stocks.
▸ Part 1 of 8: DataFrames from Pandas

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C O U R S E R E S O U R C E S
▸ Course page:
▸ Anaconda (Jupyter + Python):
▸ Jupyter Notebooks:
▸ Full playlist

F R E E E B O O K
▸ 82 page eBook: Python for Financial Analysis
▸ Backtesting Investment Strategies with Python
▸ Get it here:
▸ Full code available:

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C O U R S E D E S C R I P T I O N

Part 1:
▸ Use DataFrames to load historical stock price data
▸ See similarities between DataFrames and Excel
▸ Learn about loc and iloc on DataFrames

Part 2:
▸ Learn calculations on columns in DataFrames (Series)
▸ How Series can be used to calculate
▸ How to normalize data to get the return
▸ Similarities with Excel

Part 3:
▸ How to add new columns in DataFrames
▸ Add additional calculations to the dataset
▸ How to remove columns from the DataFrame

Part 4:
▸ How to use Matplotlib with DataFrames using stock price data
▸ The object and the functional way of using Matplotlib
▸ Multiple charts in one figure
▸ Bar-charts and more.

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Part 5:
▸ How to use PandasDatareader to read historical stock quotes from the API
▸ To display all Nasdaq ticker symbols
▸ Explore world bank data

Part 6:
▸ Calculate and visualize the volatility of a stock
▸ Calculate and visualize the simple moving average
▸ Calculate and visualize the exponential moving average

Part 7:
▸ Calculate and visualize MACD
▸ Calculate and visualize the stochastic oscillator

Part 8:
▸ How to export all data from Python to an Excel sheet
▸ It will be in multiple sheets
▸ With colored rows and charts
▸ Everything automated from Python

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O T H E R F R E E C O U R S E S

Python for Finance: Risk and Return
▸ 2.5h Full course
▸ YouTube playlist:
▸ Course page:

Learn Python for Beginners.
▸ A 8 hour full Python Course.
▸ Including FREE eBook and Jupyter Notebooks.
▸ Course page:

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——————————————
U D E M Y C O U R S E S

Python for Finance 2021: Financial Analysis for Investing
▸ Link to Udemy:
▸ 21.5h course
▸ Use Python to Find Good Investments.
▸ Learn Pandas, NumPy, Matplotlib for Financial Analysis & Automate Value Investing.

——————————————
S T A Y C O N N E C T E D
▸ Facebook:
▸ Twitter:
▸ Blog:
▸ Online courses: .

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14 comments

Hetvik C 26/09/2021 - 5:00 PM

Rune,
Recently ,i was completed financial analysis course on udemy. i wanna go for financial analyst, so i need to know python?

Reply
Captain Herbalist 26/09/2021 - 5:00 PM

just so everyone knows Yahoo Finance will be missing around 2 mondays every 5 months or so

Reply
Kartikeya Agarwal 26/09/2021 - 5:00 PM

Rune, i have a query that's eating me up!
I have interest in finance and programming also… So which career should I choose??

Reply
George Boyer 26/09/2021 - 5:00 PM

thechinahacks are so awesome .They helped me out financially with a transfer of $37,000

Reply
This is the King 26/09/2021 - 5:00 PM

You sound like Agent Smith!Cool!

Reply
James Briggs 26/09/2021 - 5:00 PM

You have a very interesting teaching style, it's cool to watch – thanks for sharing 🙂

Reply
ramprasad sapkota 26/09/2021 - 5:00 PM

from where you have downloaded the AAPL.csv file ?

Reply
Manu Jain 26/09/2021 - 5:00 PM

Could you please make a playlist for all 8 videos? That would be really helpful!

Reply
Amarpal Singh 26/09/2021 - 5:00 PM

Great Work!

Reply
Matt Smit 26/09/2021 - 5:00 PM

I hope this course helps me get an entry level data analysis job

Reply
Nicholas H. 26/09/2021 - 5:00 PM

Loved it! Very professional tutorial. I hope you are uploading the next ones asap.

Reply
MrVejovis 26/09/2021 - 5:00 PM

Thanks for the tutorial! The series doesn't seem to be intact, there's no part 2-8 at this point that I can find…

Reply
DevOps Journey 26/09/2021 - 5:00 PM

Will it tell me when to buy GME though? 🙂

Reply
Learn Python with Rune 26/09/2021 - 5:00 PM

Do you have experience with Pandas?

Reply

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