16 analytic disciplines compared to data science

16 analytic disciplines compared to data science

16 analytic disciplines compared to data science

What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?
Here I compare several analytic disciplines that overlap, to explain the differences and common denominators. Sometimes differences exist for nothing else other than historical reasons. Sometimes the differences are real and subtle. I also provide typical job titles, types of analyses, and industries traditionally attached to each discipline. Underlined domains are main sub-domains. It would be great if someone can add an historical perspective to my article.

First, let's start by describing data science, the new discipline.
Job titles include data scientist, chief scientist, senior analyst, director of analytics  and many more . It covers all industries and fields, but especially digital analytics, search technology, marketing, fraud detection, astronomy, energy, healhcare, social networks, finance, forensics, security (NSA), mobile, telecommunications, weather forecasts, and fraud detection.

Projects include taxonomy creation (text mining, big data),  clustering applied to big data sets , recommendation engines, simulations, rule systems for statistical scoring engines, root cause analysis, automated bidding, forensics, exo-planets detection, and early detection of terrorist activity or pandemics, An important component of data science is automation, machine-to-machine communications, as well as algorithms running non-stop in production mode (sometimes in real time), for instance to detect fraud, predict weather or predict home prices for each home (Zillow).

Read Also:
Business Intelligence: basics you need to know

An example of data science project is the creation of the  fastest growing data science Twitter profile , for computational marketing. It leverages big data, and is part of a viral marketing / growth hacking strategy that also includes automated high quality, relevant, syndicated content generation (in short, digital publishing version 3.0).
Unlike most other analytic professions, data scientists are assumed to have great business acumen and domain expertize -- one of the reasons why they tend to succeed as entrepreneurs.

There are  many types of data scientists , as data science is  a broad discipline . Many senior data scientists master their art/craftsmanship and possess the whole spectrum of skills and knowledge; they really are the unicorns that recruiters can't find. Hiring managers and uninformed executives favor  narrow technical skills  over combined deep, broad and specialized business domain expertize - a byproduct of the current education system that favors discipline silos, while true data science is a silo destructor.

Read Also:
Coursera Launches Data Analysis Specialization Track

Unicorn data scientists (a misnomer, because they are not rare - some are famous VC's)  usually work as consultants, or as executives. Junior data scientists tend to be more specialized in one aspect of data science, possess more hot technical skills (Hadoop, Pig, Cassandra) and will have no problems finding a job if they received appropriate training  and/or have work experience with companies such as Facebook, Google, eBay, Apple, Intel, Twitter, Amazon, Zillow etc. Data science projects for potential candidates  can be found here .



Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
BigQuery integrates with Google Drive

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
AI, Machine Learning as a Service Set to Overhaul Healthcare

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
BigQuery integrates with Google Drive
Read Also:
Attunity CloudBeam is Now Moving Data to Azure SQL Data Warehouse

Real Business Intelligence

11
Jul
2017
Real Business Intelligence

25% off with code RBIYM01

Read Also:
BigQuery integrates with Google Drive

Advanced Analytics Forum

20
Sep
2017
Advanced Analytics Forum

15% off with code Discount15

Read Also:
BigQuery integrates with Google Drive

Leave a Reply

Your email address will not be published. Required fields are marked *