Data Processor Education Requirements And Courses

Data processor education requirements

Updated January 8, 2025

2 min read

Usually, data processors don't need a college education. The most common degree for data processors is bachelor's degree with 40% graduates, with only 25% data processor graduates earning associate degree. Data processors who decided to graduate from college often finish University of Phoenix or DeVry University. Some good skills to have in this position include computer database, data processing and financial data.

Popular data processor certifications include Word 2010 Certification, International Accredited Business Accountant (IABA), or Certified Data Management Professional - Data Management (CDP-DM). To improve data processor qualification and skills, we prepared some online courses to help in data processor education paths.

What education do you need to become a data processor?

What degree do you need to be a data processor?

The most common degree for data processors is bachelor's degree, with 40% of data processors earning that degree. The second and third most common degree levels are associate degree degree at 25% and associate degree degree at 20%.

Bachelor's, 40%

Associate, 25%

High School Diploma, 20%

Diploma, 6%

Other Degrees, 9%

What should I major in to become a data processor?

You should major in business to become a data processor. 28% of data processors major in business. Other common majors for a data processor include accounting and computer science.

Business, 28%

Accounting, 9%

Computer Science, 6%

Health Care Administration, 6%

Other Majors, 51%

Best majors for data processors

Rank	Major	Percentages
1	Business	28.2%
2	Accounting	9.0%
3	Computer Science	6.3%
4	Health Care Administration	6.0%
5	Psychology	5.7%

Show more common data processor majors

20 best online courses for data processors

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1. Big Data Integration and Processing

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is...

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A Complete Guide to Data Entry Skills: Learn Data Entry Skills and become a Data Entry Pro & Get a Online Data Entry Job...

3. Complete Data Entry Skills Course - Learn Data Entry Skills

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Learn Essential Data Entry Skills Now To Enhance Your Career -Word - Excel - Database - Data Entry Jobs...

4. Data Entry Course for Beginners

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Learn from a Successful Data Entry Professional!...

5. Data Science:Data Mining & Natural Language Processing in R

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Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples...

6. Complete Data Wrangling & Data Visualisation With Python

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Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python...

7. Statistics / Data Analysis: Survey Data and Likert Scales

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How to Process Survey Data and Analyze Likert Scales In SPSS...

8. Fundamentals of Data Analysis for Big Data

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This course prepares participants to begin running data analysis on databases...

9. The Data Science Course: Complete Data Science Bootcamp 2023

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Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning...

10. Health Data 101

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An Introduction to Health Data for data analysts...

11. Data Engineering using AWS Data Analytics

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Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift...

12. Data Engineering - ETL, Web Scraping ,Big Data,SQL,Power BI

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Hands on Data Interaction using - ETL, Web Scraping ,Big Data,SQL,Power BI...

13. Introduction to Machine Learning for Data Science

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A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist...

14. Streaming Big Data with Spark Streaming and Scala

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Spark Streaming tutorial covering Spark Structured Streaming, Kafka integration, and streaming big data in real-time...

15. The Data Bootcamp: Transform your Data using dbt™

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Learn dbt™ from scratch. Build data models, perform testing, generate documents & become an all rounded Data Engineer!...

16. R Level 1 - Data Analytics with R

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Use R for Data Analytics and Data Mining...

17. Apache Spark with Scala - Hands On with Big Data!

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Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!...

18. Data Science: Master Machine Learning Without Coding

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Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included...

19. Data Warehouse Development Process

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Specific aspects of Data Warehouse Development Process...

20. Data Science Career Guide - Interview Preparation

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Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions!...

Average data processor salary by education level

Data processors with a Bachelor's degree earn more than those without, at $34,279 annually. With a Master's degree, data processors earn a median annual income of $34,139 compared to $33,082 for data processors with an High School Diploma degree.

Data processor education level	Data processor salary
Master's Degree	$34,139
High School Diploma or Less	$33,082
Bachelor's Degree	$34,279
Some College/ Associate Degree	$32,939