Data ScienceTutorial
Learn Data Science
Today, Data rules the world. This has resulted in a huge demand for Data Scientists.
A Data Scientist helps companies with data-driven decisions, to make their business better.
Start learning Data Science now »Learning by Examples
With our "Try it Yourself" editor, you can edit Python code and view the result.
Example
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats
full_health_data = pd.read_csv("data.csv", header=0, sep=",")
x = full_health_data["Average_Pulse"]
y = full_health_data["Calorie_Burnage"]
slope, intercept, r, p, std_err = stats.linregress(x, y)
def myfunc(x):
return slope * x + intercept
mymodel = list(map(myfunc, x))
plt.scatter(x, y)
plt.plot(x, mymodel)
plt.ylim(ymin=0, ymax=2000)
plt.xlim(xmin=0, xmax=200)
plt.xlabel("Average_Pulse")
plt.ylabel ("Calorie_Burnage")
plt.show()
Try it Yourself »import matplotlib.pyplot as plt
from scipy import stats
full_health_data = pd.read_csv("data.csv", header=0, sep=",")
x = full_health_data["Average_Pulse"]
y = full_health_data["Calorie_Burnage"]
slope, intercept, r, p, std_err = stats.linregress(x, y)
def myfunc(x):
return slope * x + intercept
mymodel = list(map(myfunc, x))
plt.scatter(x, y)
plt.plot(x, mymodel)
plt.ylim(ymin=0, ymax=2000)
plt.xlim(xmin=0, xmax=200)
plt.xlabel("Average_Pulse")
plt.ylabel ("Calorie_Burnage")
plt.show()
Click on the "Try it Yourself" button to see how it works.
The Python Language
Python is a programming language widely used by Data Scientists.
Python has in-built mathematical libraries and functions, making it easier to calculate mathematical problems and to perform data analysis.
In this tutorial, we will use Python to provide practical examples.
To learn more about Python, please visit ourPython Tutorial.
