DataCamp Review 2021

Data Science Roles

The main roles in data science are Data Engineers, Data Analysts, Data Scientists, and Machine Learning Scientists.

Data Engineers work on the architecture of how the data will be acquired, stored, and accessed. They build pipelines for the data flow and storage. The tools they use are SQL to organize and store data, programming languages like R and Python for data processing, Shell command line language to automate and run tasks. They may also require skills on Cloud computing skills like AWS, Azure, and GCP to work with cloud-hosted data. 

Data Analysts work on initial analyses, data cleaning, creating reports, and visualizations. The tools they use are SQL, spreadsheets, BI, and visualization tools like Tableau and Power BI, as well as programming languages like R and Python for data preparation and analysis.

Data Scientists need to have good knowledge of statistical methods. They analyze and experiment with data to draw deeper insights, often using machine learning. Data scientists use tools like SQL,  and programing language data manipulation libraries like pandas in Python and tidyverse in R.

Machine Learning Scientists specialize and are focused on machine learning. They build and use machine learning techniques for classification, prediction, and deep learning models. They use machine learning libraries like TensorFlow and Spark with programming languages like Python and R.