PUG Analytics Degree Plan: Difference between revisions
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== Analytics Degree Plan == | == Analytics Degree Plan == | ||
This is a Analytics Degree plan for [[Purdue University Global]] (PUG) as of approximately | This is a Analytics Degree plan for [[Purdue University Global]] (PUG) as of approximately June of 2023. Please make sure that the suggestions are still valid before beginning to follow this plan. | ||
The alternative credit courses were handpicked using experience from previous students as to what courses will be the easiest and quickest courses to take. In places with multiple courses listed, the first course is assumed to be the fastest/easiest course to take. | The alternative credit courses were handpicked using experience from previous students as to what courses will be the easiest and quickest courses to take. In places with multiple courses listed, the first course is assumed to be the fastest/easiest course to take. | ||
| Line 108: | Line 108: | ||
|Social Science Requirement | |Social Science Requirement | ||
|5 | |5 | ||
| | |Sophia | ||
| | |U.S. Government | ||
|5 | |5 | ||
|- | |- | ||
| Line 137: | Line 137: | ||
|5 | |5 | ||
|Microsoft | |Microsoft | ||
|Microsoft Office Specialist: Excel 2010, 2013, 2016, 2019 | |MOS (Microsoft Office Specialist): Excel 2010, 2013, 2016, 2019 | ||
|5 | |5 | ||
|- | |- | ||
| Line 193: | Line 193: | ||
|Reporting and Visualization | |Reporting and Visualization | ||
|5 | |5 | ||
| | |AWS | ||
| | |AWS Certified Data Analytics | ||
| | |5 | ||
|- | |- | ||
|IT350 | |IT350 | ||
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! | ! | ||
! | ! | ||
! | !41 | ||
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| | | | ||
|Sophia | |Sophia or Google Certs | ||
| | | | ||
|23 | |23 | ||
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| | |41 | ||
|- | |- | ||
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! | !132 | ||
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<small>*To copy this degree plan, hold down left mouse button, drag to select tables, then copy/paste (CTR+C/CTR+P) to Sheets or Excel.</small> | <small>*To copy this degree plan, hold down left mouse button, drag to select tables, then copy/paste (CTR+C/CTR+P) to Sheets or Excel.</small> | ||
[[Category:Degree Plans]][[Category:PUG]] | [[Category:Degree Plans]][[Category:PUG]] | ||
Latest revision as of 22:06, 31 May 2023
Analytics Degree Plan[edit | edit source]
This is a Analytics Degree plan for Purdue University Global (PUG) as of approximately June of 2023. Please make sure that the suggestions are still valid before beginning to follow this plan.
The alternative credit courses were handpicked using experience from previous students as to what courses will be the easiest and quickest courses to take. In places with multiple courses listed, the first course is assumed to be the fastest/easiest course to take.
Tips on Order in Which to Complete Courses[edit | edit source]
Start with CLEP, then Sophia. Sophia only allows 2 courses open at one time so don't have 2 courses that have touchstones (written assignments) open at the same time. After Sophia, do the certifications and then do Study.com. (PHP & MSFT cert should take 1-2 weeks each)
How Long Will It Take To Complete This Degree Once I Finish All the Alterative Credits?[edit | edit source]
How long to complete depends on a variety of factors such as experience, time commitment, the efficiency of studying, etc. Considering you spend at least 20 hours a week on your studies, it should take 2-3 terms to complete this degree.
Battle Plan For Finishing in 2 Terms
If you want to finish in 2 terms, you need to be aggressive in opening up a bunch of courses. It is possible to finish in 2 terms with less than 30hrs a week studying. Follow the advise of this Reddit Thread. The capstone is a set 10 weeks and can't be accelerated so you must start this at the beginning of your 2nd term in order to finish in 2 terms.
Source of Credit[edit | edit source]
This degree plan was made using the following sources to map out all the alternative credits.
It Certification Exams Equivalent Guide
Core Requirements[edit | edit source]
| ID | Course | Competency
Units Value |
Course
Provider |
Course Name | Purdue
Credit |
|---|---|---|---|---|---|
| CM107 | College Composition I | 5 | CLEP or
Sophia |
English Composition, Foundations of English Composition | 5 |
| CM220 | College Composition II | 5 | CLEP or
Sophia or Study.com |
English Composition, English Composition I,
English 104: College Composition I (Grading is known to take a long time at Sophia, taking the course at Study.com may be faster) |
5 |
| CS212 | Communicating Professionalism | 5 | (Must take at PUG) | ||
| MM207 | Statistics | 5 | Sophia | Intro to Stats | 5 |
| MM212 | College Algebra | 5 | Sophia | College Algebra | 5 |
| SS290 | Data in Our World - Introduction to Data Literacy | 5 | |||
| 100/200
Level |
Arts and Humanities Requirement | 5 | Sophia | Introduction to Ethics | 5 |
| 100/200
Level |
Science Requirement | 5 | Sophia | Environmental Science
Note: You also do human biology though environment science should be the fastest to do. |
5 |
| 100/200
Level |
Social Science Requirement | 5 | Sophia | U.S. Government | 5 |
| Totals | 45 | 35 |
Major Requirements[edit | edit source]
| ID | Course | Competency
Units Value |
Course
Provider |
Course Name | Purdue
Credit |
|---|---|---|---|---|---|
| IT153 | Spreadsheet Applications | 5 | Microsoft | MOS (Microsoft Office Specialist): Excel 2010, 2013, 2016, 2019 | 5 |
| IT163 | Database Concepts Using Microsoft Access | 5 | Sophia or Study.com | Database Concepts or | 5 |
| IN200 | Data Governance - Policy and Ethics | 5 | Coursera | CertNexus - Certified Ethical Emerging Technologist (CEET)
Note: Not sure how long this would take. |
5 |
| IT234 | Database Concepts | 5 | Study.com | Computer Science 107: Database Fundamentals | 5 |
| IT286 | Network Security Concepts | 5 | Study.com | Computer Science 203: Defensive Security | 5 |
| MM250 | Discrete Mathematics | 5 | Study.com | Math 108: Discrete Mathematics | 5 |
| IN300 | Programming for Data Analysis (Python, R, and Java) | 5 | |||
| IN301 | Securing Data | 5 | |||
| IN302 | Reporting and Visualization | 5 | AWS | AWS Certified Data Analytics | 5 |
| IT350 | Advanced Database Concepts | 6 | W3Schools | PHP Certificate | 6 |
| IN400 | Artificial Intelligence (AI) - Deep Learning and Machine Learning | 6 | |||
| IN401 | Data Curation Concepts | 6 | |||
| IN402 | Modeling and Predictive Analysis | 6 | |||
| MM325 | Statistical Data Analysis | 5 | |||
| IN498 | Bachelor's Capstone in Analytics | 5 | |||
| Totals | 79 | 41 |
Open Electives[edit | edit source]
| ID | Course | Competency
Units Value |
Course
Provider |
Course Name | Purdue
Credit |
|---|---|---|---|---|---|
| Any ID | Whatever you want | 56 | W3Schools | PHP Certificate | 33 |
| Sophia or Google Certs | 23 | ||||
| Totals | 56 | 56 |
Total Transfer Credit[edit | edit source]
| ID | Course | Competency
Units Value |
Course
Provider |
Course Name | Purdue
Transfer Credit (135 max transfer credits) |
|---|---|---|---|---|---|
| Core Requirements | 45 | 35 | |||
| Major Requirements | 79 | 41 | |||
| Open Electives | 56 | 56 | |||
| Totals | 180 | 132 |
*To copy this degree plan, hold down left mouse button, drag to select tables, then copy/paste (CTR+C/CTR+P) to Sheets or Excel.