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Data Science Notes
Data, Python, statistics, linear regression and case studies — written by CodingNow 2.0's mentors. Free to read, structured to actually help you learn.
Data Science notes by CodingNow 2.0 cover 25 topics — from ds home to ds linear regression case — each explained with short definitions, syntax and runnable code examples. They are 100% free, need no signup, and work as quick revision for college exams, Data Science interviews and CodingNow 2.0's mentor-led Data Science course in Pitampura, Delhi.
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Data Science
8 of 8 topics publishedDS HOME
With our "Try it Yourself" editor, you can edit Python code and view the result.
DS Introduction
Data Science is a combination of multiple disciplines that uses statistics, data analysis, and machine learning to analyze data and to extract knowledge and ins
DS What is Data
One purpose of Data Science is to structure data, making it interpretable and easy to work with.
DS Database Table
A database table is a table with structured data.
DS Python
Python is a programming language widely used by Data Scientists.
DS DataFrame
A data frame is a structured representation of data.
DS Functions
This chapter shows three commonly used functions when working with Data Science: max(), min(), and mean().
DS Data Preparation
Before analyzing data, a Data Scientist must extract the data, and make it clean and valuable.
DS Math
3 of 3 topics publishedDS Linear Functions
Mathematical functions are important to know as a data scientist, because we want to make predictions and interpret them.
DS Plotting Functions
| Duration | Average_Pulse | Max_Pulse | Calorie_Burnage | Hours_Work | Hours_Sleep |
DS Slope and Intercept
Now we will explain how we found the slope and intercept of our function:
DS Statistics
7 of 7 topics publishedStat Introduction
Statistics is the science of analyzing data.
Stat Percentiles
Percentiles are used in statistics to give you a number that describes the value that a given percent of the values are lower than.
Stat Standard Deviation
Standard deviation is a number that describes how spread out the observations are.
Stat Variance
Variance is another number that indicates how spread out the values are.
Stat Correlation
Correlation measures the relationship between two variables.
Stat Correlation Matrix
A matrix is an array of numbers arranged in rows and columns.
Stat Correlation vs Causality
Correlation measures the numerical relationship between two variables.
DS Advanced
7 of 7 topics publishedDS Linear Regression
We are missing one important variable that affects Calorie_Burnage, which is the Duration of the training session.
DS Regression Table
The output from linear regression can be summarized in a regression table.
DS Regression Info
The "Information Part" in Regression Table
DS Regression Coefficients
The "Coefficients Part" in Regression Table
DS Regression P-Value
The "Statistics of the Coefficients Part" in Regression Table
DS Regression R-Squared
R-Squared and Adjusted R-Squared describes how well the linear regression model fits the data points:
DS Linear Regression Case
Case: Use Duration + Average\_Pulse to Predict Calorie\_Burnage
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