Online Certificate in Applied Data Science using Python
Develop your programming skills to analyze and visualize data using regression models, decision trees, random forests, support vector machines and neural networks.
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Course 1: Introduction to Python Course
- How to install Python
- Choosing your IDE
- Conditional Logic - if/else clauses
- How to write Python Functions For and While Loops
- Using Arrays and Matrices in NumPy
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Course 2: Data Analysis and Probability
- Reading .csv files into Python
- Data Visualization with Pandas and Plotly Packages
- Probability * Counting and Random Variables
- Distributions, Mean and Variance
- Central Limit Theorem
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Course 3: Statistical Methods
- Confidence Intervals and Hypothesis Testing
- ANOVA and Post Hoc Testing
- Linear Regression
- Supervised vs. Unsupervised Learning
- Logistic Regression/Binary Classification
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Course 4: Advanced Methods
- Decision Trees and Random Forests
- Principal Components Analysis
- Clustering Support Vector Machines
- Neural Networks
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