Analyzing Data with Python
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Students will learn how to:
Import data sets
Clean and prepare data for analysis
Manipulate pandas DataFrame
Build machine learning models using scikit-learn
Build data pipelines
Data Analysis with Python is delivered through lecture, hands-on labs, and assignment.
Course includes following parts:
Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
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