• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Home
  • Crypto Currency
  • Technology
  • Contact
NEO Share

NEO Share

Sharing The Latest Tech News

  • Home
  • Artificial Intelligence
  • Machine Learning
  • Computers
  • Mobile
  • Crypto Currency

How to break into the field of Data Science

December 22, 2020 by systems

Tara Haddadin
Photo by Myriam Jessier on Unsplash

Introduction

As one of the most exciting fields in the recent years, many people are looking for the right path to break into data science and machine learning. Using a data-driven approach, I decided to dig deeper to uncover the answers to the most common questions. I analyzed data obtained from Glassdoor to answer the following 3 questions:

  1. What are the top industries hiring data professionals

To answer my question, I grouped the data by sector and visualized the top 10 sectors that has posted jobs for data professionals.

The result matched my expectations, where the information technology sector is the one most in demand for data professionals.

2. What tools are the most important to learn

Another question in which there is a lot of debate around is which tools should you learn to land a data job. Many people are learning tens of new tools and technologies to keep up with the rapid advancement in this field.

I decided to classify the job posting for senior positions by adding a new feature. Afterwards I created a pie chart to see which technology is most in demand for senior positions only.

The chart above shows us that knowledge of Python programming language is the most in demand skill for senior job positions. The second top skill is Excel, which many people nowadays underestimate as a powerful tool to analyze data.

3. Which data role has the highest salary

Finally, I wondered which job title in the field of data science had the highest salary. In order to take a closer look at this, I classified the job postings into a uniform job title naming convention, and I represented my findings in a bar chart.

Here, we can see that Machine Learning Engineers, Data Architects and Data Scientists are the highest paid data professionals in the market.

Filed Under: Machine Learning

Primary Sidebar

Stay Ahead: The Latest Tech News and Innovations

Cryptocurrency Market Updates: What’s Happening Now

Emerging Trends in Artificial Intelligence: What to Watch For

Top Cloud Computing Services to Secure Your Data

The Future of Mobile Technology: Recent Advancements and Predictions

Footer

  • Privacy Policy
  • Terms and Conditions

Copyright © 2025 NEO Share

Terms and Conditions - Privacy Policy