9.1. Analyze Data Science Market#

The data in this section is collected from 160k+ data scientists, 570k data analysts, 100k+ data engineers, and 19k+ machine learning engineers from all over the world using Diffbot, the world’s largest knowledge graph. Find more instructions on how to use Diffbot here.

I uploaded the dataset used in this tutorial to this repository so that you can try out the dataset yourself.

9.1.3. Top Data Science Bootcamps for Data Professionals#

Have you ever been frustrated when seeing hundreds of data science bootcamps to choose from on Google? Instead of choosing a random one, wouldn’t it be nice if you can find which bootcamps most data scientists took?

I analyzed the profiles over 5k data professionals to figure it out. The chart below shows the most popular bootcamps by roles from the analysis.

!wget -c -O 'data/bootcamps.pkl' https://github.com/khuyentran1401/dataset/blob/master/data_science_market/bootcamps.pkl?raw=true
import pandas as pd  
import plotly.express as px  

df = pd.read_pickle("data/bootcamps.pkl")
fig = px.bar(df, x='education', y='value', color='position', title='Top Bootcamps for Data Professionals by Roles').update_xaxes(
    categoryorder='total descending')


Full article on how I scraped and processed the data.