What is Data Science?

In this video, CBT Nuggets trainer Jonathan Barrios answers the question “What is data science?” and explains how it can be used to gather insights and make informed decisions.

At its core, data science is an umbrella term that includes data analysis as well as AI, machine learning, and deep learning. But there are some key differences between a data scientist and a data analyst.

Data analysts work to find trends in information, draw insights from data sets, and make decisions. They work with historical data.

A successful data scientist will try to estimate the unknown. They ask questions, write algorithms, and build statistical models. A data scientist works on predictions… things that haven’t happened yet.

Data scientists use programming languages like Python and R, statistical analysis software, and machine learning algorithms to make future predictions that help innovate products and make better business decisions. These specialists continue to be in high demand despite ebbs and flows in the tech industry as a whole.

Key topics in this video:
00:00 Introduction
01:12 Overview: Difference between data analysis and data science
02:34 Overlap in data analysis and data science
03:10 Overview: AI, machine learning, and deep learning
04:40 What is data analysis?
05:12 Tools for data analysis: Excel, Tableau, Power BI, R, Python, Julia
05:44 What is data science?
06:29 AI and data science
07:57 Machine learning and data science
09:32 Deep learning and data science
11:00 Technical recap

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