CS 200 - Introduction to Data Science and Python
Learn computational data science in Python at San Diego State University with authentic CS 200 practice exams, Colaboratory notebook solutions, and data analytics guides covering NumPy vector operations, pandas DataFrame manipulation, matplotlib/seaborn data visualization, statistical hypothesis testing, and exploratory data analysis.
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Common aliases: CS 200
Study Resources for CS 200 - Introduction to Data Science and Python
Comprehensive Final Exam (2015)
Midterm Exam 1 Practice Test (2016)
Comprehensive Final Exam (2016)
Comprehensive Final Exam (2017)
Midterm Exam 1 Practice Test (2018)
Comprehensive Final Exam (2019)
Midterm Exam 1 Practice Test (2021)
Comprehensive Final Exam (2022)
Comprehensive Final Exam (2024)
Quiz 3 Review & Key Concepts
Python String Processing & Regular Expressions (Jupyter Notebook)
Python Numerical Types, Math Operations & Formatting (Jupyter Notebook)
Lab 1: Python Data Types & Expressions Solutions (Jupyter Notebook)
Data Visualization: Matplotlib & Seaborn Charting (Jupyter Notebook)
Data Manipulation: Pandas DataFrame Filtering & Grouping (Jupyter Notebook)
Data Manipulation: Advanced Table Operations (Jupyter Notebook)
Scientific Computing: NumPy Arrays & Vectorized Math (Jupyter Notebook)
Assessment Inventory for CS 200 (17 Documents)
Complete inventory of all 17 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 17 free educational resources and past exams for CS 200 (CS 200 - Introduction to Data Science and Python) at San Diego State University (SDSU), containing 3 midterm papers, 6 final examinations, 1 quiz, and 7 supplemental resources. Dated documents represent 8 distinct academic years between 2015 and 2024.
Core Exam Topics & Learning Objectives
- Python programming for data analytics: lists, dictionaries, list comprehensions, and regular expressions in CS 200
- Vectorized numerical computing with NumPy: multidimensional arrays, broadcasting rules, slicing, and matrix operations
- Data wrangling and grouping with pandas: DataFrame filtering, missing value handling, group-by aggregations, and table joins
- Exploratory data visualization and statistics: histograms, scatter plots, box plots with Matplotlib/Seaborn, and hypothesis testing
Frequently Asked Questions
Which assessment formats are cataloged in this CS 200 archive?
This collection for CS 200 at San Diego State University (SDSU) catalogs 17 total resources across the following formats: Midterms, Finals, Quizzes. 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 CS 200 collection?
Dated materials in this archive span from 2015 to 2024, representing 8 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free CS 200 past exams?
All cataloged CS 200 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 San Diego State University (SDSU) course syllabus.