Data miner vs miner

The differences between data miners and miners can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data miner, becoming a miner takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $46,997 average annual salary of a miner.

The top three skills for a data miner include python, R and ETL. The most important skills for a miner are safety regulations, ground support, and MSHA.

Data miner vs miner overview

	Data Miner	Miner
Yearly salary	$80,042	$46,997
Hourly rate	$38.48	$22.59
Growth rate	19%	4%
Number of jobs	68,035	375
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	High School Diploma, 41%
Average age	44	40
Years of experience	4	2

Data miner vs miner salary

Data miners and miners have different pay scales, as shown below.

	Data Miner	Miner
Average salary	$80,042	$46,997
Salary range	Between $54,000 And $118,000	Between $29,000 And $74,000
Highest paying City	San Mateo, CA	-
Highest paying state	California	-
Best paying company	Oracle	-
Best paying industry	Real Estate	-

Differences between data miner and miner education

There are a few differences between a data miner and a miner in terms of educational background:

	Data Miner	Miner
Most common degree	Bachelor's Degree, 65%	High School Diploma, 41%
Most common major	Business	Business
Most common college	Stanford University	-

Data miner vs miner demographics

Here are the differences between data miners' and miners' demographics:

	Data Miner	Miner
Average age	44	40
Gender ratio	Male, 60.1% Female, 39.9%	Male, 90.6% Female, 9.4%
Race ratio	Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5%	Black or African American, 4.1% Unknown, 4.1% Hispanic or Latino, 12.6% Asian, 0.6% White, 76.2% American Indian and Alaska Native, 2.5%
LGBT Percentage	11%	4%

Differences between data miner and miner duties and responsibilities

Data miner example responsibilities.

Provide clinical staff with customize population health analytic solutions for tracking specific clinical quality measure and managing high risk patients.
Develop Matlab code for exploring the dichotomy in differential performance of Satscan using exact locations and census tracts.
Train a logistic regression classifier to differentiate the positive and negative articles.
Develop single and multiple regression models to identify relationships between stock volatility and financial ratios
Develop a hierarchical text classification model in python to classify websites into multilevel/ multiple taxonomy.
Develop discriminative features to boost the classification accuracy, using the domain specific language written in Java.

Miner example responsibilities.

Operate and maintain the concrete plant and manage formulation of shotcrete and concrete batches.
Shovele and work belt frame and rollers, reclaim, out-by, torches, hanging water lines.
Install roof bolts for grind control, pour concrete and assist in steel erection, and use of shotcrete.
Muck with Wagner ST5 LHD.
Haul muck, run loader, etc.
Certify in first aid, CPR, and mine rescue.

Data miner vs miner skills

Common data miner skills

Python, 31%
R, 15%
ETL, 8%
Data Quality, 7%
HTML, 7%
SAS, 7%

Common miner skills

Safety Regulations, 21%
Ground Support, 8%
MSHA, 8%
Underground Mine, 4%
Conveyor Belts, 4%
Shovels, 3%