Online Certificate in Applied Data Science using Python

Training Python students and code

Develop your programming skills to analyze and visualize data using regression models, decision trees, random forests, support vector machines and neural networks.

If you are currently enrolled in one of these Masters or PhD programs, please contact Cara Reeve to enroll in the Online Certificate in Applied Data Science using Python: 

  • Masters in Data Science and Analytics
  • Masters in Computer Science
  • PhD in Data Science and Analytics
  • PhD in Computer Science

Module 1: Introduction to Python Course

  1. How to install Python
  2. Choosing your IDE
  3. Conditional Logic - if/else clauses
  4. How to write Python Functions For and While Loops
  5. Using Arrays and Matrices in NumPy

Module 2: Data Analysis and Probability

  1. Reading .csv files into Python
  2. Data Visualization with Pandas and Plotly Packages
  3. Probability * Counting and Random Variables
  4. Distributions, Mean and Variance
  5. Central Limit Theorem  

Module 3: Statistical Methods

  1. Confidence Intervals and Hypothesis Testing
  2. ANOVA and Post Hoc Testing
  3. Linear Regression
  4. Supervised vs. Unsupervised Learning
  5. Logistic Regression/Binary Classification 

Module 4: Advanced Methods

  1. Decision Trees and Random Forests
  2. Principal Components Analysis
  3. Clustering Support Vector Machines
  4. Neural Networks
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