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CS250: Python for Data Science
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Course Introduction
Course Syllabus
Unit 1: What is Data Science?
1.1: Introduction to Data Science
1.2: How Data Science Works
1.3: Important Facets of Data Science
Unit 1 Assessment
Unit 2: Python for Data Science
2.1: Google Colaboratory
2.2: Datatypes, Operators, and the math Module
2.3: Control Statements, Loops, and Functions
2.4: Lists, Tuples, Sets, and Dictionaries
2.5: The random Module
2.6: The matplotlib Module
Unit 2 Assessment
Unit 3: The numpy Module
3.1: Constructing Arrays
3.2: Indexing
3.3: Array Operations
3.4: Saving and Loading Data
Unit 3 Assessment
Unit 4: Applied Statistics in Python
4.1: Basic Statistical Measures and Distributions
4.2: Random Numbers in numpy
4.3: The scipy.stats Module
4.4: Data Science Applications
Unit 4 Assessment
Unit 5: The pandas Module
5.1: Dataframes
5.2: Data Cleaning
5.3: pandas Operations: Merge, Join, and Concatenate
5.4: Data Input and Output
5.5: Visualization Using the pandas Module
Unit 5 Assessment
Unit 6: Visualization
6.1: The seaborn Module
6.2: Advanced Data Visualization Techniques
6.3: Data Science Applications
Unit 6 Assessment
Unit 7: Data Mining I – Supervised Learning
7.1: Data Mining Overview
7.2: Supervised Learning
7.3: Principal Component Analysis
7.4: k-Nearest Neighbors
7.5: Decision Trees
7.6: Logistic Regression
7.7: Training and Testing
Unit 7 Assessment
Unit 8: Data Mining II – Clustering Techniques
8.1: Unsupervised Learning
8.2: K-means Clustering
8.3: Hierarchical Clustering
8.4: Training and Testing
Unit 8 Assessment
Unit 9: Data Mining III – Statistical Modeling
9.1: Linear Regression
9.2: Residuals
9.3: Overfitting
9.4: Cross-Validation
Unit 9 Assessment
Unit 10: Time Series Analysis
10.1: The statsmodels Module
10.2: Autoregressive (AR) Models
10.3: Moving Average (MA) Models
10.4: Autoregressive Integrated Moving Average (ARIMA) Models
Unit 10 Assessment
Study Guide
Course Feedback Survey
Certificate Final Exam
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Arts and Humanities
Art History
Communication
English
Philosophy
Business Administration
Computer Science
English as a Second Language
Professional Development
Business and Communication
College Success
Computer and Information Technology
General Knowledge for Teachers
Writing and Soft Skills
Science and Mathematics
Biology
Chemistry
Mathematics
Physics
Social Science
Economics
Geography
History
Political Science
Psychology
Sociology
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CS250: Python for Data Science
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