Data Science Tutorial
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()
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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 our Python Tutorial.
