IN 300: Programming for Data Analysis (Python, R, and Java)
Develops multi-language programming proficiency for data science. Students use Python (NumPy, Pandas), R, and Java to clean messy datasets, transform data frames, perform statistical computations, generate visual plots, and build reproducible data pipelines.
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Common aliases: IN 300
Study Resources for Programming for Data Analysis (Python, R, and Java)
Assessment Inventory for IN 300 (4 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 2) 2019 | Midterm | 2019 | Illustrative Archive |
| Final Exam 2017 | Final | 2017 | Illustrative Archive |
| Midterm (Exam 1) 2017 | Midterm | 2017 | Illustrative Archive |
| Term Review Study Guide | Study Guide | — | Illustrative Archive |
Complete inventory of all 4 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
This archive catalogs 4 free educational resources and past exams for IN 300 (Programming for Data Analysis (Python, R, and Java)) at Purdue University Global (Purdue Global), containing 2 midterm papers, 1 final examination, and 1 study guide. Dated documents represent 2 distinct academic years between 2017 and 2019.
Core Exam Topics & Learning Objectives
- Data manipulation in Python: vectorized operations, DataFrame indexing, grouping, and merging with Pandas in IN 300
- Statistical computing in R: tidyverse data wrangling, ggplot2 visual encoding, and statistical testing for Programming for Data Analysis (Python, R, and Java)
- Java for enterprise data processing: object-oriented data structures and stream processing pipelines in IN 300
- Reproducible data science: building automated ETL pipelines and documentation workflows at Purdue Global
Frequently Asked Questions
Which assessment formats are cataloged in this IN 300 archive?
This collection for IN 300 at Purdue University Global (Purdue Global) catalogs 4 total resources across the following formats: Midterms, Finals, Study Guides. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.
What academic years are covered in this IN 300 collection?
Dated materials in this archive span from 2017 to 2019, representing 2 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free IN 300 past exams?
All cataloged IN 300 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the Purdue University Global (Purdue Global) course syllabus.