Data Analysis

Jupyter Notebook:

https://jupyter.org/
Jupyter Notebook is a free, open source web application that can be run in a web browser. It allows developers to create reports with data and visualizations from live code. The system supports more than 40 programming languages. Jupyter Notebook allows developers to make use of the wide range of Python packages for analytics and visualizations.

How to download Python programs from GitHub and upload them to Jupyter Notebook:

https://www.youtube.com/watch?v=ueBLx4kXVn8&t=3s

Tradingview:

https://www.tradingview.com/
Free charts, tools, and social networking for traders and investors. Chart your favorite assets including stocks, cryptocurrencies, and forex from anywhere .

Python:

Python pandas：
https://pandas.pydata.org/
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

Python NumPy module：
https://www.askpython.com/python-modules/numpy/python-numpy-module
Python NumPy module ensembles a variety of functions to perform different scientific and mathematical operations at an ease.

Python Matplotlib Tutorial：
https://www.askpython.com/python-modules/matplotlib/python-matplotlib
Python Matplotlib is a library which basically serves the purpose of Data Visualization. The building blocks of Matplotlib library is 2-D NumPy Arrays.

Jupyter Notebook Tutorial for Beginners with Python:
https://www.youtube.com/watch?v=2WL-XTl2QYI

Mean, Median, Mode:

Mean, Median, Mode: What They Are, How to Find Them:
https://www.statisticshowto.com/probability-and-statistics/statistics-definitions/mean-median-mode/

Normal Distribution:

https://en.wikipedia.org/wiki/Normal_distribution
https://www.investopedia.com/terms/n/normaldistribution.asp

Normal Distribution in Python:
https://www.askpython.com/python/normal-distribution

Standard Deviation:

For a normal distribution, 68% of the observations are within +/- one standard deviation of the mean,
95% are within +/- two standard deviations,
and 99.7% are within +- three standard deviations.

Understanding and calculating standard deviation:
https://www.scribbr.com/statistics/standard-deviation/

Standard Deviation Indicator:
https://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/standard-deviation

stdev() method in Python statistics module：
https://www.geeksforgeeks.org/python-statistics-stdev/

Machine Learning - Standard Deviation：
https://www.w3schools.com/python/python_ml_standard_deviation.asp

Data Correlation:

Pearson's Correlation, Clearly Explained!!!
https://www.youtube.com/watch?v=xZ_z8KWkhXE

Correlation Coefficient: Simple Definition, Formula, Easy Steps:
https://www.statisticshowto.com/probability-and-statistics/correlation-coefficient-formula/

Correlation in the financial world:
https://www.investopedia.com/terms/c/correlation.asp

Correlation calculation in Python:
https://github.com/Megapro-com/Data-Analysis/blob/main/correlation_study.ipynb

Linear Regression:

An Introduction to Linear Regression Analysis:
https://www.youtube.com/watch?v=zPG4NjIkCjc

Linear Regression for Machine Learning:
https://machinelearningmastery.com/linear-regression-for-machine-learning/

Linear Regression Channel:
https://www.barchart.com/education/technical-indicators/linear_regression_channel