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.

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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